refactor(ai-chat): 移除 excel_analyze/office_analyze 工具与 OfficeKit 依赖

- 删除 excel_analyze/office_analyze 两个 A2UI 工具（schema、分发、执行器、测试）
- 附件分析改为依赖上传时自动提取的文本与 preflight_import 报告 errorSamples
- 移除 @officecli/officecli 依赖及 OfficeCliService（PPT 上传不再自动提取文本）
- 保留 AiExcelReaderService（附件文本提取与导入预检仍使用）

apps/server/src/ai-chat/ai-attachment.service.ts

@@ -8,11 +8,9 @@ import { createReadStream } from 'node:fs';
 import { mkdir, readFile, unlink, writeFile } from 'node:fs/promises';
 import { basename, isAbsolute, join, relative, resolve } from 'node:path';
 import { randomUUID } from 'node:crypto';
-import { tmpdir } from 'node:os';
 import { PDFParse } from 'pdf-parse';
 import { In, Repository } from 'typeorm';
 import { AiExcelReaderService } from './ai-excel-reader.service';
-import { OfficeCliService } from './office-cli.service';
 import { AiAttachment } from './entities';
 
 const MAX_FILE_BYTES = 10 * 1024 * 1024;
@@ -42,7 +40,6 @@ export class AiAttachmentService {
     @InjectRepository(AiAttachment)
     private readonly attachments: Repository<AiAttachment>,
     private readonly excelReader: AiExcelReaderService,
-    private readonly officeCli?: OfficeCliService,
   ) {}
 
   async upload(userId: number, file: Express.Multer.File): Promise<AiAttachment> {
@@ -213,68 +210,12 @@ export class AiAttachmentService {
       const result = await mammoth.extractRawText({ buffer });
       return this.normalizeExtractedText(result.value);
     }
-    if (mimeType.includes('presentationml')) {
-      if (!this.officeCli) return null;
-      const text = await this.extractWithOfficeCli(buffer, mimeType);
-      return this.normalizeExtractedText(text);
-    }
     if (mimeType.includes('spreadsheetml')) {
       return this.normalizeExtractedText(await this.excelReader.extractText(buffer));
     }
     return null;
   }
 
-  private async extractWithOfficeCli(buffer: Buffer, mimeType: string): Promise<string> {
-    if (!this.officeCli) return '';
-    const extension = this.extensionForMime(mimeType);
-    const tempPath = join(tmpdir(), `${randomUUID()}.${extension}`);
-    try {
-      await writeFile(tempPath, buffer, { flag: 'wx' });
-      const result = await this.officeCli.view(tempPath, 'text');
-      if (!result.success || !result.data || typeof result.data !== 'object') return '';
-      const data = result.data as { sheets?: Array<{ name: string; rows: unknown[] }>; elements?: Array<{ text?: string }> };
-      if (Array.isArray(data.sheets)) {
-        return data.sheets
-          .map((sheet) => {
-            const lines: string[] = [];
-            for (const row of sheet.rows ?? []) {
-              if (!row || typeof row !== 'object' || !('cells' in row)) continue;
-              const cells = (row as { cells: Record<string, unknown> }).cells;
-              const placed = new Map<number, string>();
-              let maxColumn = -1;
-              for (const [key, value] of Object.entries(cells)) {
-                const columnIndex = this.officeColumnIndex(key.replace(/\d+/g, ''));
-                placed.set(columnIndex, String(value ?? ''));
-                maxColumn = Math.max(maxColumn, columnIndex);
-              }
-              if (maxColumn < 0) continue;
-              const line = Array.from({ length: maxColumn + 1 }, (_, index) => placed.get(index) ?? '').join('\t');
-              if (line.trim()) lines.push(line);
-            }
-            return `# ${sheet.name}\n${lines.join('\n')}`;
-          })
-          .join('\n');
-      }
-      if (Array.isArray(data.elements)) {
-        return data.elements
-          .map((element) => element.text ?? '')
-          .filter((line) => line.trim() !== '')
-          .join('\n');
-      }
-      return '';
-    } finally {
-      await unlink(tempPath).catch(() => undefined);
-    }
-  }
-
-  private officeColumnIndex(letters: string): number {
-    let index = 0;
-    for (const char of letters.toUpperCase()) {
-      index = index * 26 + (char.charCodeAt(0) - 64);
-    }
-    return index - 1;
-  }
-
   /**
    * Read the stored file content of an already-owned attachment so the AI
    * chat agent can page through large workbooks on demand.