5497e86b58
- SQL Server has a maximum of 2100 parameters per query - Each record has 28 columns, so max batch is ~71 records (2000/28) - Fixed syntax error: removed extra closing brace in extractor.ts - Added debug logging for batch insert parameters
321 lines
12 KiB
TypeScript
321 lines
12 KiB
TypeScript
import path from 'path'
|
|
import fs from 'fs/promises'
|
|
import { ExtractorCore } from './extractor-core'
|
|
import { ErpAuthService } from './erp-auth'
|
|
import { ExcelParser } from '../excel/excel-parser'
|
|
import type { ExtractorInput, ExtractorResult, ImportResult } from '../../types/extractor.types'
|
|
import { DataImportService } from '../database/data-importer'
|
|
|
|
/**
|
|
* ERP Data Extractor Service
|
|
* Downloads material plan data for given order numbers
|
|
*
|
|
* This service orchestrates the extraction process:
|
|
* - Uses ExtractorCore for web page operations
|
|
* - Handles file merging and cleanup
|
|
*
|
|
* Reference: playwrite/utils/discrete_material_plan_extractor.py
|
|
*/
|
|
export class ExtractorService {
|
|
private authService: ErpAuthService
|
|
private downloadDir: string
|
|
|
|
constructor(authService: ErpAuthService, downloadDir = './downloads') {
|
|
this.authService = authService
|
|
this.downloadDir = downloadDir
|
|
|
|
// Ensure download directory exists
|
|
fs.mkdir(downloadDir, { recursive: true }).catch(() => {})
|
|
}
|
|
|
|
/**
|
|
* Extract data for given order numbers
|
|
* Orchestrates the extraction process by delegating web operations to ExtractorCore
|
|
* and handling file merging/cleanup
|
|
*/
|
|
async extract(input: ExtractorInput): Promise<ExtractorResult> {
|
|
const result: ExtractorResult = {
|
|
downloadedFiles: [],
|
|
mergedFile: null,
|
|
recordCount: 0,
|
|
errors: []
|
|
}
|
|
|
|
try {
|
|
const session = this.authService.getSession()
|
|
|
|
// Call ExtractorCore to execute web page operations
|
|
const core = new ExtractorCore()
|
|
const coreResult = await core.downloadAllBatches({
|
|
session,
|
|
orderNumbers: input.orderNumbers,
|
|
downloadDir: this.downloadDir,
|
|
batchSize: input.batchSize || 100,
|
|
onProgress: input.onProgress
|
|
})
|
|
|
|
result.downloadedFiles = coreResult.downloadedFiles
|
|
result.errors = coreResult.errors
|
|
|
|
// Merge downloaded files (original logic preserved)
|
|
if (result.downloadedFiles.length > 0) {
|
|
input.onProgress?.('正在合并文件...', 95)
|
|
const mergeResult = await this.mergeFiles(result.downloadedFiles)
|
|
result.mergedFile = mergeResult.mergedFile
|
|
result.recordCount = mergeResult.recordCount
|
|
|
|
// Add merge error to result if any
|
|
if (mergeResult.error) {
|
|
result.errors.push(mergeResult.error)
|
|
}
|
|
|
|
// Always clean up temporary files regardless of merge success
|
|
await this.cleanupTempFiles(result.downloadedFiles)
|
|
|
|
// Auto-import to database if merge was successful
|
|
if (result.mergedFile) {
|
|
input.onProgress?.('正在写入数据库...', 98)
|
|
const importResult = await this.importToDatabase(result.mergedFile)
|
|
result.importResult = importResult
|
|
|
|
if (!importResult.success && importResult.errors.length > 0) {
|
|
result.errors.push(...importResult.errors)
|
|
}
|
|
}
|
|
}
|
|
} catch (error) {
|
|
const message = error instanceof Error ? error.message : 'Unknown error'
|
|
result.errors.push(`Extraction failed: ${message}`)
|
|
}
|
|
|
|
return result
|
|
}
|
|
|
|
/**
|
|
* Merge downloaded Excel files into a single file
|
|
* Uses ExcelParser to parse and combine all material plans
|
|
*
|
|
* @param filePaths - Array of downloaded Excel file paths
|
|
* @returns Merged file path, total record count, and optional error message
|
|
*/
|
|
private async mergeFiles(
|
|
filePaths: string[]
|
|
): Promise<{ mergedFile: string | null; recordCount: number; error?: string }> {
|
|
if (filePaths.length === 0) {
|
|
return { mergedFile: null, recordCount: 0 }
|
|
}
|
|
|
|
console.log(`[Extractor] Starting merge of ${filePaths.length} files`)
|
|
const parser = new ExcelParser({ verbose: true })
|
|
|
|
// Collect all orders with full order info and materials
|
|
// Each order has: { orderInfo: OrderHeader, materials: MaterialRow[] }
|
|
const allOrders: Array<{ orderInfo: any; materials: any[] }> = []
|
|
|
|
// Parse each downloaded file and collect orders
|
|
for (const filePath of filePaths) {
|
|
try {
|
|
console.log(`[Extractor] Parsing file: ${filePath}`)
|
|
await parser.parse(filePath)
|
|
// After parse(), the parser stores orders internally as lastOrders
|
|
const orders = (parser as any).lastOrders
|
|
console.log(`[Extractor] Parsed ${orders?.length || 0} orders from ${filePath}`)
|
|
if (orders && Array.isArray(orders)) {
|
|
allOrders.push(...orders)
|
|
}
|
|
} catch (error) {
|
|
const errorMsg = error instanceof Error ? error.message : String(error)
|
|
console.error(`[Extractor] Failed to parse file ${filePath}:`, errorMsg)
|
|
}
|
|
}
|
|
|
|
// Calculate total record count (total material rows)
|
|
let recordCount = 0
|
|
for (const order of allOrders) {
|
|
recordCount += order.materials.length
|
|
}
|
|
|
|
console.log(`[Extractor] Total orders: ${allOrders.length}, total records: ${recordCount}`)
|
|
|
|
if (recordCount === 0) {
|
|
console.warn('[Extractor] No records found in any of the downloaded files')
|
|
return { mergedFile: null, recordCount: 0 }
|
|
}
|
|
|
|
// Generate output filename with timestamp
|
|
const timestamp = new Date()
|
|
.toISOString()
|
|
.replace(/[-:T]/g, '')
|
|
.replace(/\..+/, '')
|
|
.slice(0, 14)
|
|
const outputPath = path.join(this.downloadDir, `merged_${timestamp}.xlsx`)
|
|
|
|
// Save with error handling
|
|
try {
|
|
console.log(`[Extractor] Saving merged file to: ${outputPath}`)
|
|
await this.saveMergedOrders(allOrders, outputPath)
|
|
console.log(`[Extractor] Successfully saved merged file with ${recordCount} records`)
|
|
return { mergedFile: outputPath, recordCount }
|
|
} catch (error) {
|
|
const errorMsg = error instanceof Error ? error.message : String(error)
|
|
const errorStack = error instanceof Error ? error.stack : ''
|
|
console.error(`[Extractor] Failed to save merged file: ${errorMsg}`)
|
|
console.error(`[Extractor] Error stack: ${errorStack}`)
|
|
// Return parsed record count and error info even if save fails
|
|
return { mergedFile: null, recordCount, error: `保存合并文件失败: ${errorMsg}` }
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Save merged orders to a new Excel file with full 31 columns
|
|
* Matches the output format of ExcelParser.saveAsExcel()
|
|
*/
|
|
private async saveMergedOrders(
|
|
orders: Array<{ orderInfo: any; materials: any[] }>,
|
|
outputPath: string
|
|
): Promise<void> {
|
|
console.log(`[Extractor] Loading ExcelJS...`)
|
|
const ExcelJSModule = await import('exceljs')
|
|
// Handle both ESM and CommonJS module formats
|
|
const ExcelJS = ExcelJSModule.default || ExcelJSModule
|
|
console.log(`[Extractor] ExcelJS loaded, creating workbook...`)
|
|
|
|
const workbook = new ExcelJS.Workbook()
|
|
const worksheet = workbook.addWorksheet('Data')
|
|
|
|
// Define all 31 columns matching ExcelParser.saveAsExcel output format
|
|
worksheet.columns = [
|
|
{ header: '工厂', key: 'factory', width: 25 },
|
|
{ header: '备料状态', key: 'materialStatus', width: 15 },
|
|
{ header: '备料计划单号', key: 'planNumber', width: 25 },
|
|
{ header: '来源单号', key: 'productionOrder', width: 20 },
|
|
{ header: '备料类型', key: 'materialType', width: 15 },
|
|
{ header: '产品编码', key: 'productCode', width: 15 },
|
|
{ header: '产品名称', key: 'productName', width: 30 },
|
|
{ header: '产品计划数量', key: 'productPlannedQuantity', width: 15 },
|
|
{ header: '产品单位', key: 'productUnit', width: 10 },
|
|
{ header: '用料部门', key: 'department', width: 15 },
|
|
{ header: '备注', key: 'remark', width: 20 },
|
|
{ header: '制单人', key: 'creator', width: 15 },
|
|
{ header: '制单日期', key: 'createDate', width: 15 },
|
|
{ header: '审批人', key: 'approver', width: 15 },
|
|
{ header: '审批日期', key: 'approveDate', width: 15 },
|
|
{ header: '序号', key: 'sequence', width: 10 },
|
|
{ header: '材料编码', key: 'materialCode', width: 15 },
|
|
{ header: '材料名称', key: 'materialName', width: 30 },
|
|
{ header: '规格', key: 'specification', width: 30 },
|
|
{ header: '型号', key: 'model', width: 20 },
|
|
{ header: '图号', key: 'drawingNumber', width: 20 },
|
|
{ header: '物料材质', key: 'material', width: 15 },
|
|
{ header: '计划数量', key: 'quantity', width: 12 },
|
|
{ header: '单位', key: 'unit', width: 10 },
|
|
{ header: '需用日期', key: 'requiredDate', width: 15 },
|
|
{ header: '发料仓库', key: 'warehouse', width: 15 },
|
|
{ header: '单位用量', key: 'unitUsage', width: 12 },
|
|
{ header: '累计出库数量', key: 'cumulativeOutboundQty', width: 15 },
|
|
{ header: '打印人', key: 'printer', width: 15 },
|
|
{ header: '打印日期', key: 'printDate', width: 20 }
|
|
]
|
|
|
|
console.log(`[Extractor] Adding ${orders.length} orders to worksheet...`)
|
|
// Add data rows - merge orderInfo with each material
|
|
for (const order of orders) {
|
|
const { orderInfo, materials } = order
|
|
|
|
for (const material of materials) {
|
|
worksheet.addRow({
|
|
// Order info (first 15 columns)
|
|
factory: orderInfo.factory || '',
|
|
materialStatus: orderInfo.materialStatus || '',
|
|
planNumber: orderInfo.planNumber || '',
|
|
productionOrder: orderInfo.productionOrder || '',
|
|
materialType: orderInfo.materialType || '',
|
|
productCode: orderInfo.productCode || '',
|
|
productName: orderInfo.productName || '',
|
|
productPlannedQuantity: orderInfo.plannedQuantity || '',
|
|
productUnit: orderInfo.unit || '',
|
|
department: orderInfo.department || '',
|
|
remark: orderInfo.remark || '',
|
|
creator: orderInfo.creator || '',
|
|
createDate: orderInfo.createDate || '',
|
|
approver: orderInfo.approver || '',
|
|
approveDate: orderInfo.approveDate || '',
|
|
// Material data (columns 16-28)
|
|
sequence: material.sequence || '',
|
|
materialCode: material.materialCode || '',
|
|
materialName: material.materialName || '',
|
|
specification: material.specification || '',
|
|
model: material.model || '',
|
|
drawingNumber: material.drawingNumber || '',
|
|
material: material.material || '',
|
|
quantity: material.quantity || 0,
|
|
unit: material.unit || '',
|
|
requiredDate: material.requiredDate || '',
|
|
warehouse: material.warehouse || '',
|
|
unitUsage: material.unitUsage || 0,
|
|
cumulativeOutboundQty: material.cumulativeOutboundQty || 0,
|
|
// Footer info (last 2 columns)
|
|
printer: orderInfo.printer || '',
|
|
printDate: orderInfo.printDate || ''
|
|
})
|
|
}
|
|
}
|
|
|
|
console.log(`[Extractor] Writing file to ${outputPath}...`)
|
|
await workbook.xlsx.writeFile(outputPath)
|
|
console.log(`[Extractor] File saved successfully: ${outputPath}`)
|
|
}
|
|
|
|
/**
|
|
* Clean up temporary batch files after merging
|
|
* @param filePaths - Array of temporary file paths to delete
|
|
*/
|
|
private async cleanupTempFiles(filePaths: string[]): Promise<void> {
|
|
for (const filePath of filePaths) {
|
|
try {
|
|
await fs.unlink(filePath)
|
|
console.log(`Deleted temporary file: ${filePath}`)
|
|
} catch (error) {
|
|
// Log error but don't fail the main process
|
|
console.error(`Failed to delete temporary file ${filePath}:`, error)
|
|
}
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Import merged Excel data to database
|
|
* @param filePath - Path to the merged Excel file
|
|
* @returns Import result with statistics
|
|
*/
|
|
private async importToDatabase(filePath: string): Promise<ImportResult> {
|
|
console.log(`[Extractor] Starting database import from: ${filePath}`)
|
|
|
|
const importService = new DataImportService()
|
|
|
|
try {
|
|
const result = await importService.importFromExcel(filePath, 1000)
|
|
|
|
console.log(`[Extractor] Import completed`, {
|
|
success: result.success,
|
|
recordsRead: result.recordsRead,
|
|
recordsDeleted: result.recordsDeleted,
|
|
recordsImported: result.recordsImported
|
|
})
|
|
|
|
return result
|
|
} catch (error) {
|
|
const errorMsg = error instanceof Error ? error.message : String(error)
|
|
console.error(`[Extractor] Import failed: ${errorMsg}`)
|
|
|
|
return {
|
|
success: false,
|
|
recordsRead: 0,
|
|
recordsDeleted: 0,
|
|
recordsImported: 0,
|
|
uniqueSourceNumbers: 0,
|
|
errors: [errorMsg]
|
|
}
|
|
}
|
|
}
|
|
}
|