Migrate ExcelConverter from Python to TypeScript
Replace pandas+openpyxl with exceljs for Excel file processing. This migration enables seamless integration with the Electron main process and maintains 1:1 functional parity with the Python implementation. Key changes: - Add exceljs dependency (v4.4.0) - Implement ExcelConverter class in TypeScript with strict types - Add comprehensive unit tests (13 test cases, all passing) - Support field name mapping, order parsing, and material extraction - Handle empty data tables and file conflicts gracefully Verification: - Successfully tested with sample Excel file (99 orders, 625 records) - All unit tests passing - Output format matches Python version Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
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src/main/utils/excelConverter.ts
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423
src/main/utils/excelConverter.ts
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/**
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* Excel 报表数据转换工具组件
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* 将 Excel 报表数据转换为数据库记录形式
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*/
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import * as fs from 'fs';
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import * as path from 'path';
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import * as ExcelJS from 'exceljs';
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/**
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* 材料数据行结构
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*/
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export interface MaterialRow {
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'序号': string | number;
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'材料编码': string;
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'材料名称': string;
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'规格': string;
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'型号': string;
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'图号': string;
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'物料材质': string;
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'计划数量': number;
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'单位': string;
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'需用日期': string;
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'发料仓库': string;
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'单位用量': number;
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'累计出库数量': number;
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[key: string]: any; // Allow order_info fields
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}
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/**
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* 订单数据结构
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*/
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export interface OrderData {
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order_info: Record<string, string>;
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materials: Partial<MaterialRow>[];
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}
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/**
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* 转换器配置选项
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*/
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export interface ConverterOptions {
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output?: string;
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verbose?: boolean;
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}
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/**
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* 转换结果
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*/
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export interface ConverterResult {
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records: MaterialRow[];
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orderCount: number;
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rowCount: number;
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outputFile?: string;
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}
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/**
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* Excel 报表数据转换器
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*/
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export class ExcelConverter {
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/**
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* 字段名称映射(解决字段名冲突)
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*/
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private static readonly FIELD_NAME_MAPPING: Record<string, string> = {
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计划数量: '产品计划数量',
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单位: '产品单位',
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};
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private verbose: boolean;
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constructor(verbose: boolean = true) {
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this.verbose = verbose;
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}
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/**
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* 打印日志(如果 verbose=true)
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*/
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private print(...args: any[]): void {
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if (this.verbose) {
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console.log(...args);
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}
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}
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/**
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* 转换 Excel 文件
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*
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* @param inputPath 输入文件路径
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* @param options 转换选项
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* @returns 转换结果
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*/
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public async convert(
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inputPath: string,
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options: ConverterOptions = {}
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): Promise<ConverterResult> {
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const verbose = options.verbose ?? this.verbose;
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const outputFile = options.output
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? this.handleOutputFile(options.output)
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: undefined;
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// 读取工作簿
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const workbook = new ExcelJS.Workbook();
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await workbook.xlsx.readFile(inputPath);
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const worksheet = workbook.worksheets[0]; // 使用活动工作表
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// 解析订单数据
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const orders = this.parseSheet(worksheet);
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// 转换为扁平化记录
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const records = this.convertToRecords(orders);
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// 保存文件
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if (outputFile && records.length > 0) {
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const outputWorkbook = new ExcelJS.Workbook();
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const outputWorksheet = outputWorkbook.addWorksheet('Sheet1');
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// 添加标题行
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if (records.length > 0) {
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const columns = Object.keys(records[0]);
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outputWorksheet.columns = columns.map((col) => ({
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header: col,
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key: col,
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}));
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// 添加数据行
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records.forEach((record) => {
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outputWorksheet.addRow(record);
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});
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}
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await outputWorkbook.xlsx.writeFile(outputFile);
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}
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// 打印汇总报告
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this.print('='.repeat(60));
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this.print('转换完成');
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this.print('='.repeat(60));
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this.print(`订单数: ${orders.length}`);
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this.print(`数据行数: ${records.length}`);
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this.print(`输出文件: ${outputFile ?? 'N/A'}`);
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this.print('='.repeat(60));
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return {
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records,
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orderCount: orders.length,
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rowCount: records.length,
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outputFile,
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};
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}
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/**
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* 处理输出文件,如果文件存在则尝试删除
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*
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* @param outputPath 输出文件路径
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* @returns 实际使用的输出文件路径
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*/
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private handleOutputFile(outputPath: string): string {
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if (fs.existsSync(outputPath)) {
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try {
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fs.unlinkSync(outputPath);
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} catch (error: any) {
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if (error.code === 'EPERM' || error.code === 'EACCES') {
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this.print(
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`警告: 无法删除 ${outputPath},可能文件被其他程序打开`
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);
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// 修改文件名
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const parsedPath = path.parse(outputPath);
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outputPath = path.join(
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parsedPath.dir,
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`${parsedPath.name}_new${parsedPath.ext}`
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);
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}
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}
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}
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return outputPath;
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}
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/**
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* 解析一个工作表,返回所有订单的数据
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*
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* 每个订单包含:
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* - order_info: 订单头信息(包括页脚)
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* - materials: 物料数据列表
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*
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* @param worksheet ExcelJS 工作表对象
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* @returns 订单列表
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*/
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private parseSheet(worksheet: ExcelJS.Worksheet): OrderData[] {
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const orders: OrderData[] = [];
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// 获取所有行数据
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const allRows: any[][] = [];
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worksheet.eachRow((row, rowNumber) => {
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const values = row.values as any[];
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allRows.push(values);
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});
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// 逐行扫描,按订单结构解析
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let i = 0;
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while (i < allRows.length) {
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const row = allRows[i];
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// 检查是否是订单标题行
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// ExcelJS的row.values数组第一个元素(索引0)通常是undefined,实际数据从索引1开始
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const firstCell = row[1];
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if (firstCell && String(firstCell).includes('离散备料计划')) {
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this.print(`找到订单标题行,行号: ${i + 1}`);
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// 解析订单头信息(接下来的4行)
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const orderInfo: Record<string, string> = {};
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for (let j = 1; j <= 4; j++) {
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if (i + j < allRows.length && allRows[i + j]) {
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this.parseHeaderRow(allRows[i + j], orderInfo);
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}
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}
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this.print(`订单信息: ${JSON.stringify(orderInfo)}`);
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// 查找表格标题行(搜索"序号")
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let tableRow = i + 5;
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while (
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tableRow < allRows.length &&
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allRows[tableRow] &&
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allRows[tableRow][1] !== '序号'
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) {
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tableRow += 1;
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}
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this.print(`表格标题行: ${tableRow + 1}, 第2列值: "${allRows[tableRow]?.[1]}"`);
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// 检查是否是表格标题行
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if (
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tableRow < allRows.length &&
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allRows[tableRow] &&
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allRows[tableRow][1] === '序号'
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) {
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// 检查表头下一行是否为空,判断是否存在数据
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const nextRow = tableRow + 1;
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const nextRowData = nextRow < allRows.length ? allRows[nextRow] : null;
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const isEmptyRow =
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nextRowData &&
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!this.isRowWithData(nextRowData);
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this.print(`下一行: ${nextRow + 1}, 是否为空: ${!!isEmptyRow}`);
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if (isEmptyRow) {
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// 没有数据,查找页脚信息
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this.print('订单无物料数据(空表格)');
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const materials: Partial<MaterialRow>[] = [];
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const footerInfo: Record<string, string> = {};
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let dataRow = nextRow + 1;
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while (dataRow < allRows.length && allRows[dataRow]) {
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const firstCell = allRows[dataRow][1];
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if (
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firstCell &&
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(String(firstCell).includes('制单人') ||
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String(firstCell).includes('打印人'))
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) {
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this.parseHeaderRow(allRows[dataRow], footerInfo);
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if (dataRow + 1 < allRows.length && allRows[dataRow + 1]) {
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this.parseHeaderRow(allRows[dataRow + 1], footerInfo);
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}
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break;
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}
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dataRow += 1;
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}
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orders.push({
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order_info: { ...orderInfo, ...footerInfo },
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materials,
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});
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} else {
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// 有数据,开始提取物料
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this.print('开始提取物料数据...');
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const materials: Partial<MaterialRow>[] = [];
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const footerInfo: Record<string, string> = {};
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let dataRow = tableRow + 1;
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while (dataRow < allRows.length && allRows[dataRow]) {
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const currentRow = allRows[dataRow];
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const firstCell = currentRow[1];
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// 检查是否是页脚信息(制单人、打印人)
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if (firstCell && String(firstCell).includes('制单人')) {
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// 解析页脚信息
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this.parseHeaderRow(currentRow, footerInfo);
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if (dataRow + 1 < allRows.length && allRows[dataRow + 1]) {
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this.parseHeaderRow(allRows[dataRow + 1], footerInfo);
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}
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this.print('找到页脚信息,停止提取物料');
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break;
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}
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// 提取物料数据
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if (this.isRowWithData(currentRow)) {
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const material: Partial<MaterialRow> = {
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序号: currentRow[1],
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材料编码: currentRow[2],
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材料名称: currentRow[3],
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规格: currentRow[4],
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型号: currentRow[5],
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图号: currentRow[6],
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物料材质: currentRow[7],
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计划数量: currentRow[8],
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单位: currentRow[9],
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需用日期: currentRow[10],
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发料仓库: currentRow[11],
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单位用量: currentRow[12],
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累计出库数量: currentRow[13],
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};
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this.print(` 提取物料: ${material.序号} - ${material.材料名称}`);
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materials.push(material);
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}
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dataRow += 1;
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}
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this.print(`共提取 ${materials.length} 条物料数据`);
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orders.push({
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order_info: { ...orderInfo, ...footerInfo },
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materials,
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});
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}
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}
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}
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i += 1;
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}
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return orders;
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}
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/**
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* 检查行是否有数据(非空)
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*/
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private isRowWithData(row: any[]): boolean {
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if (!row || row.length === 0) return false;
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// 检查是否有任何非undefined/null/空字符串的值
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return row.some(
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(cell) => cell !== undefined && cell !== null && String(cell).trim() !== ''
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);
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}
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/**
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* 解析订单头信息的一行(字段名和值交错排列)
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*
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* @param row 行数据
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* @param info 存储解析结果的字典
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*/
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private parseHeaderRow(row: any[], info: Record<string, string>): void {
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let i = 0;
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while (i < row.length) {
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const cell = row[i];
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if (cell && String(cell).trim() && String(cell).includes(':')) {
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// 找到字段名
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let fieldName = String(cell).replace(/:/g, '').trim();
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// 应用字段名映射
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if (fieldName in ExcelConverter.FIELD_NAME_MAPPING) {
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fieldName = ExcelConverter.FIELD_NAME_MAPPING[fieldName];
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}
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// 跳过空单元格,找到第一个非字段名的值
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let j = i + 1;
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while (
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j < row.length &&
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(!row[j] ||
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!String(row[j]).trim() ||
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String(row[j]).includes(':'))
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) {
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j += 1;
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}
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if (
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j < row.length &&
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row[j] &&
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!String(row[j]).includes(':')
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) {
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info[fieldName] = String(row[j]).trim();
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}
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// 跳过已处理的值,继续找下一个字段名
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i = j + 1;
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} else {
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i += 1;
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}
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}
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}
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/**
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* 将订单数据转换为扁平化的记录数组
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*
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* @param orders 订单列表
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* @returns 扁平化的记录数组
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*/
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private convertToRecords(orders: OrderData[]): MaterialRow[] {
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const allRecords: MaterialRow[] = [];
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for (const order of orders) {
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const { order_info: orderInfo, materials } = order;
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for (const material of materials) {
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const record: MaterialRow = {
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序号: '',
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材料编码: '',
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材料名称: '',
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规格: '',
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型号: '',
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图号: '',
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物料材质: '',
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计划数量: 0,
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单位: '',
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需用日期: '',
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发料仓库: '',
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单位用量: 0,
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累计出库数量: 0,
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...orderInfo,
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...material,
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} as MaterialRow;
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allRecords.push(record);
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}
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}
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return allRecords;
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}
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}
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Reference in New Issue
Block a user