fix: resolve production ID case-sensitivity and SQL Server compatibility issues

- Add getTableName() method to convert MySQL table names to SQL Server format
- Use queryWithParams with sql.NVarChar for proper SQL Server parameter handling
- Implement case-insensitive matching for production IDs (e.g., 26b10433 vs 26B10433)
- Align resolver logic with validation-handler.ts for consistent database queries

Co-Authored-By: Claude (glm-5) <noreply@anthropic.com>

src/main/services/erp/extractor.ts

@@ -1,16 +1,18 @@
 import path from 'path'
 import fs from 'fs/promises'
-import { ERP_LOCATORS } from './locators'
+import { ExtractorCore } from './extractor-core'
 import { ErpAuthService } from './erp-auth'
 import { ExcelParser } from '../excel/excel-parser'
 import type { ExtractorInput, ExtractorResult } from '../../types/extractor.types'
-import type { ErpSession } from '../../types/erp.types'
-import type { DiscreteMaterialPlan } from '../../types/excel.types'
 
 /**
  * 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 {
@@ -27,6 +29,8 @@ export class ExtractorService {
 
   /**
    * 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 = {
@@ -39,36 +43,20 @@ export class ExtractorService {
     try {
       const session = this.authService.getSession()
 
-      // Navigate to extractor page and get popup page + work frame
-      const { popupPage, workFrame } = await this.navigateToExtractorPage(session)
+      // 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
+      })
 
-      // Process orders in batches
-      const batchSize = input.batchSize || 100
-      const batches = this.createBatches(input.orderNumbers, batchSize)
+      result.downloadedFiles = coreResult.downloadedFiles
+      result.errors = coreResult.errors
 
-      for (let i = 0; i < batches.length; i++) {
-        const batch = batches[i]
-        const progress = ((i + 1) / batches.length) * 100
-
-        input.onProgress?.(`Processing batch ${i + 1}/${batches.length}`, progress)
-
-        try {
-          const filePath = await this.downloadBatch(
-            session,
-            popupPage,
-            workFrame,
-            batch,
-            i,
-            batches.length
-          )
-          result.downloadedFiles.push(filePath)
-        } catch (error) {
-          const message = error instanceof Error ? error.message : 'Unknown error'
-          result.errors.push(`Batch ${i + 1}: ${message}`)
-        }
-      }
-
-      // Merge downloaded files into a single Excel file
+      // 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)
@@ -91,153 +79,6 @@ export class ExtractorService {
     return result
   }
 
-  /**
-   * Navigate to extractor/query page
-   * Reference: Python extract() method lines 266-278
-   *
-   * Python workflow:
-   * 1. main_frame.locator("i").first.click() - Click menu icon
-   * 2. page.expect_popup() + get_by_title("离散备料计划维护").click() - Click menu item and wait for popup
-   * 3. page1.locator("#forwardFrame").content_frame - Get popup's forward frame
-   * 4. f_frame.locator("#mainiframe").content_frame - Get nested inner frame
-   * 5. setup_query_interface(work_frame) - Setup query interface
-   */
-  private async navigateToExtractorPage(
-    session: ErpSession
-  ): Promise<{ popupPage: any; workFrame: any }> {
-    const { page, mainFrame } = session
-
-    // Step 1: Click menu icon (Python line 266)
-    // main_frame is #forwardFrame.content_frame returned from login
-    await mainFrame.locator('i').first().click()
-
-    // Step 2: Click discrete material plan menu item and expect popup (Python lines 267-271)
-    const popupPromise = page.waitForEvent('popup')
-    await mainFrame.getByTitle('离散备料计划维护', { exact: true }).first().click()
-    const popupPage = await popupPromise
-
-    // Step 3 & 4: Get nested frame structure in popup window (Python lines 273-276)
-    // popup page contains #forwardFrame, which contains #mainiframe
-    const forwardFrameLocator = popupPage.locator('#forwardFrame')
-    const fFrame = await forwardFrameLocator.contentFrame()
-
-    if (!fFrame) {
-      throw new Error('Failed to access popup forward frame')
-    }
-
-    const innerFrameLocator = fFrame.locator('#mainiframe')
-    await innerFrameLocator.waitFor({ state: 'visible', timeout: 15000 })
-    const workFrame = await innerFrameLocator.contentFrame()
-
-    if (!workFrame) {
-      throw new Error('Failed to access inner work frame')
-    }
-
-    // Step 5: Setup query interface (Python line 278)
-    await this.setupQueryInterface(workFrame)
-
-    return { popupPage, workFrame }
-  }
-
-  /**
-   * Setup query interface
-   * Reference: Python setup_query_interface() method lines 231-239
-   */
-  private async setupQueryInterface(innerFrame: any): Promise<void> {
-    // Click search icon (Python line 233)
-    await innerFrame.locator('.search-name-wrapper > .iconfont').click()
-
-    // Click "订单号查询" menu item (Python line 234)
-    await innerFrame.getByText('订单号查询').click()
-
-    // Click "全部" tab (Python line 235)
-    await innerFrame.getByRole('tab', { name: '全部' }).click()
-
-    // Set limit to 5000 (Python lines 237-239)
-    const inputBox = innerFrame.locator('#rc_select_0')
-    await inputBox.fill('5000')
-    await inputBox.press('Enter')
-  }
-
-  /**
-   * Download a single batch of orders
-   * Reference: Python download_batch() method lines 133-175
-   */
-  private async downloadBatch(
-    session: ErpSession,
-    popupPage: any,
-    workFrame: any,
-    orderNumbers: string[],
-    batchIndex: number,
-    totalBatches: number
-  ): Promise<string> {
-    // Fill order numbers (Python lines 143-145)
-    const textbox = workFrame.getByRole('textbox', { name: '来源生产订单号' })
-    await textbox.fill('')
-    await textbox.fill(orderNumbers.join(','))
-
-    // Click search button (Python line 147)
-    await workFrame.locator('.search-component-searchBtn').click()
-
-    // Wait for loading (Python lines 148-153)
-    await this.waitForLoading(workFrame)
-
-    // Click first row checkbox (Python line 155)
-    await workFrame.getByRole('row', { name: '序号' }).getByLabel('').click()
-
-    // Hover and click "更多" button (Python lines 156-157)
-    await workFrame.getByRole('button', { name: '更多' }).hover()
-    await workFrame.getByText('输出', { exact: true }).click()
-
-    // Set threshold (Python lines 159-164)
-    const thresholdBox = workFrame
-      .locator('div')
-      .filter({ hasText: /^行数阈值$/ })
-      .locator('input[type="text"]')
-    await thresholdBox.fill('300000')
-
-    // Setup download handler and click confirm (Python lines 166-172)
-    const downloadPath = path.join(this.downloadDir, `temp_batch_${batchIndex + 1}.xlsx`)
-
-    const downloadPromise = popupPage.waitForEvent('download')
-    await workFrame.getByRole('button', { name: '确定(Y)' }).click()
-
-    const download = await downloadPromise
-    await download.saveAs(downloadPath)
-
-    return downloadPath
-  }
-
-  /**
-   * Wait for loading overlay to disappear
-   * Reference: Python lines 148-153
-   */
-  private async waitForLoading(workFrame: any): Promise<void> {
-    const loadingLocator = workFrame
-      .locator('div')
-      .filter({ hasText: ERP_LOCATORS.extractor.loadingText })
-      .nth(1)
-
-    try {
-      await loadingLocator.waitFor({ state: 'visible', timeout: 3000 })
-      await loadingLocator.waitFor({ state: 'hidden', timeout: 0 })
-    } catch {
-      // Loading completed quickly or never appeared
-    }
-  }
-
-  /**
-   * Split array into batches
-   * Reference: Python group_order_ids() method lines 128-131
-   */
-  private createBatches<T>(items: T[], batchSize: number): T[][] {
-    const batches: T[][] = []
-    for (let i = 0; i < items.length; i += batchSize) {
-      batches.push(items.slice(i, i + batchSize))
-    }
-    return batches
-  }
-
   /**
    * Merge downloaded Excel files into a single file
    * Uses ExcelParser to parse and combine all material plans
@@ -428,4 +269,4 @@ export class ExtractorService {
       }
     }
   }
-}
+}