first-electron-app/docs/excel-converter-migration.md

ExcelConverter Migration Summary

Task Completed: ExcelConverter Migration from Python to TypeScript

Successfully migrated playwrite/utils/excel_converter.py to src/main/utils/excelConverter.ts.

Files Created/Modified

1. ✅ src/main/utils/excelConverter.ts - Main Converter Class

• Replaced pandas + openpyxl with exceljs
• Preserved all parsing logic and data transformation
• Implemented strict TypeScript types and interfaces
• Followed project patterns matching authService.ts

2. ✅ tests/unit/excelConverter.test.ts - Unit Tests

• 13 comprehensive unit tests covering:
  • Header row parsing logic
  • Field name mapping
  • Material extraction
  • Empty data handling
  • Multiple orders parsing
  • Footer information handling
  • Data conversion to records
  • File output handling
• All tests passing ✅

3. ✅ package.json - Dependency Added

• Added exceljs: ^4.4.0

Implementation Details

Core Methods Implemented

Python Method	TypeScript Method	Purpose
convert(input_file, output_file)	async convert(inputPath: string, options?: ConverterOptions): Promise<ConverterResult>	Main conversion entry
_parse_sheet(ws)	private parseSheet(worksheet: Worksheet): OrderData[]	Parse worksheet into orders
_parse_header_row(row, info)	private parseHeaderRow(row: any[], info: Record<string, string>): void	Extract field-value pairs
_convert_to_dataframe(orders)	private convertToRecords(orders: OrderData[]): MaterialRow[]	Flatten to array
_handle_output_file(path)	private handleOutputFile(path: string): string	Handle file conflicts

Key Features

1. Field Name Mapping - Resolves field name conflicts (计划数量 → 产品计划数量)
2. Order Parsing - Extracts order info and materials from complex Excel layouts
3. Empty Data Handling - Correctly handles orders with no material data
4. Footer Information - Captures 制单人/打印人 information
5. File Conflict Handling - Handles locked files by appending "_new" suffix

Verification

Unit Tests

npm test -- tests/unit/excelConverter.test.ts

Result: ✅ 13/13 tests passing

Manual Testing

Tested with actual sample file references/samples/离散备料计划数据样例.xlsx:

• Orders processed: 99
• Records extracted: 625
• Output: Successfully converted to Excel format

Success Criteria

1. ✅ All tests pass (13/13 unit tests)
2. ✅ Output matches Python version (verified with sample data)
3. ✅ Code follows project conventions (matches authService.ts pattern)
4. ✅ Proper TypeScript types with strict interfaces
5. ✅ Proper error handling and logging (verbose mode)

Technical Notes

Excel Cell Reading Pattern

// ExcelJS row.values[0] is undefined, actual data starts at index 1
const cellValue = row.values[1]; // First column of actual data

Row Iteration

const allRows: any[][] = [];
worksheet.eachRow((row, rowNumber) => {
  allRows.push(row.values as any[]);
});

Field Parsing Logic

The header rows contain field-value pairs separated by "：" (colon). The parser correctly handles:

• Field names with colons
• Empty cells between field names and values
• Multiple field-value pairs per row

Integration Points

The ExcelConverter can now be used in:

• Main process services for Excel file processing
• Batch conversion workflows
• Data import/export functionality

Next Steps

The ExcelConverter is ready for integration into the main application workflow. It can be called from:

• IPC handlers for renderer process requests
• Background data processing tasks
• File system watchers for automatic conversion