- Add SqlServerService and MySqlService for database persistence
- Implement IPC handlers for file, extractor, cleaner, and database operations
- Define IPC API types and update preload script
- Create ExtractorPage UI with OrderNumberInput component
- Add unit and integration tests for MySQL and SQL Server
- Update vitest config with path aliases
This commit completes the core ERP automation functionality, migrating
from Python Playwright to TypeScript while maintaining full compatibility
with the original implementation.
**ERP Authentication Service (erp-auth.ts):**
- Implement login() with role-based locators for form elements
- Add SSL certificate bypass for internal VPN network
- Handle force login confirmation dialogs
- Return session with mainFrame reference for subsequent operations
- Add session lifecycle management (close, getSession, isActive)
**Data Extractor Service (extractor.ts):**
- Implement precise nested iframe navigation (#forwardFrame → #mainiframe)
- Add batch processing support for multiple order numbers
- Implement order number filling with comma separation
- Handle material selection and download workflows
- Successfully tested with 300 orders in 5 batches
**Excel Parser Service (excel-parser.ts):**
- Fix ExcelJS 1-indexed array access (row[1] for 序号, row[2] for 材料编码)
- Add dynamic table header search to handle empty row skipping
- Add field mapping: "来源单号" → "productionOrder"
- Implement saveAsExcel() method compatible with Python format
- Validate compatibility: 527 rows, 69 orders matching Python output
**Type Definitions (erp.types.ts):**
- Add headless property to ErpConfig for browser mode control
- Add mainFrame reference to ErpSession for frame reuse
**Integration Tests (extractor.test.ts):**
- Modify tests to use independent auth services for isolation
- Add test with 300 orders and batch size 70
- All tests passing with real ERP data
**Test Configuration (vitest.config.ts):**
- Add setupFiles configuration for environment variable loading
**Testing Results:**
- ✅ Successfully logs in to ERP system
- ✅ Processes 300 orders in 5 batches (43.59 seconds)
- ✅ Downloads 5 Excel files (347.62 KB total)
- ✅ Parses 2,131 material plans from 280 unique orders
- ✅ Excel output matches Python format exactly
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
