feat: implement Excel parser service
Implement Excel parsing module for ERP exported files following TDD principles. Key features: - Parse Excel files with multiple orders per file - Extract order header information (production order, product code, etc.) - Extract material data rows with 13 fields - Handle empty orders gracefully - Detect footer rows (制单人/打印人) - Map Chinese field names to English property names - Support field name mapping from Python reference Implementation: - ExcelParser class with parse() method - DiscreteMaterialPlan and ExcelParseOptions types - OrderHeader interface for order metadata - Test fixtures with realistic Excel structure - Comprehensive unit tests (3 tests, all passing) Reference: playwrite/utils/excel_converter.py Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
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tests/fixtures/create-fixtures.ts
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156
tests/fixtures/create-fixtures.ts
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import ExcelJS from 'exceljs';
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import path from 'path';
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/**
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* Create test fixture Excel files for unit tests
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*/
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async function createTestFixture() {
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const workbook = new ExcelJS.Workbook();
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const worksheet = workbook.addWorksheet('Sheet1');
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// Row 1: Order title
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worksheet.addRow([null, '离散备料计划']);
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// Row 2-5: Order header info
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worksheet.addRow([null, '生产部门:', null, '生产车间', '产品编码:', null, 'P001']);
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worksheet.addRow([null, '生产订单:', null, 'SC202501001', '产品名称:', null, '测试产品A']);
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worksheet.addRow([null, '产品规格:', null, '标准规格', '计划数量:', null, '100']);
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worksheet.addRow([null, '单位:', null, '件', '需用日期:', null, '2025-02-15']);
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// Row 6: Empty row before table header
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worksheet.addRow([]);
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// Row 7: Table header
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worksheet.addRow([
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null,
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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',
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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',
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'累计出库数量',
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]);
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// Row 8-10: Material data
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worksheet.addRow([
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null,
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1,
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'M001',
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'钢材A',
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'规格1',
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'型号1',
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'图号1',
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'材质1',
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50,
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'kg',
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'2025-02-10',
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'仓库1',
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0.5,
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0,
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]);
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worksheet.addRow([
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null,
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2,
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'M002',
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'塑料B',
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'规格2',
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'型号2',
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'图号2',
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'材质2',
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100,
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'kg',
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'2025-02-12',
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'仓库1',
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1.0,
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20,
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]);
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worksheet.addRow([
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null,
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3,
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'M003',
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'配件C',
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'规格3',
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null,
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null,
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null,
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200,
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'件',
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'2025-02-14',
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'仓库2',
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2.0,
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50,
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]);
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// Row 11: Footer info
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worksheet.addRow([null, '制单人:', null, '张三', '打印人:', null, '李四']);
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worksheet.addRow([null, '打印日期:', null, '2025-01-15']);
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// Save file
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const filePath = path.resolve(__dirname, 'test-export.xlsx');
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await workbook.xlsx.writeFile(filePath);
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console.log('Created test fixture:', filePath);
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}
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async function createEmptyOrdersFixture() {
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const workbook = new ExcelJS.Workbook();
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const worksheet = workbook.addWorksheet('Sheet1');
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// Row 1: Order title
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worksheet.addRow([null, '离散备料计划']);
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// Row 2-5: Order header info
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worksheet.addRow([null, '生产部门:', null, '生产车间', '产品编码:', null, 'P002']);
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worksheet.addRow([null, '生产订单:', null, 'SC202501002', '产品名称:', null, '测试产品B']);
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worksheet.addRow([null, '产品规格:', null, '特殊规格', '计划数量:', null, '50']);
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worksheet.addRow([null, '单位:', null, '套', '需用日期:', null, '2025-03-01']);
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// Row 6: Empty row before table header
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worksheet.addRow([]);
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// Row 7: Table header
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worksheet.addRow([
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null,
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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',
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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',
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'累计出库数量',
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]);
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// Row 8: Empty row (no data)
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worksheet.addRow([]);
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// Row 9: Footer info
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worksheet.addRow([null, '制单人:', null, '王五', '打印人:', null, '赵六']);
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worksheet.addRow([null, '打印日期:', null, '2025-01-16']);
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// Save file
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const filePath = path.resolve(__dirname, 'test-empty-orders.xlsx');
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await workbook.xlsx.writeFile(filePath);
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console.log('Created empty orders fixture:', filePath);
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}
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async function main() {
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console.log('Creating test fixture Excel files...');
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await createTestFixture();
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await createEmptyOrdersFixture();
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console.log('Done!');
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}
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main().catch(console.error);
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BIN
tests/fixtures/test-empty-orders.xlsx
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BIN
tests/fixtures/test-empty-orders.xlsx
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BIN
tests/fixtures/test-export.xlsx
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BIN
tests/fixtures/test-export.xlsx
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