feat(dc): Complete Phase 1 - Portal workbench page development

Summary:
- Implement DC module Portal page with 3 tool cards
- Create ToolCard component with decorative background and hover animations
- Implement TaskList component with table layout and progress bars
- Implement AssetLibrary component with tab switching and file cards
- Complete database verification (4 tables confirmed)
- Complete backend API verification (6 endpoints ready)
- Optimize UI to match prototype design (V2.html)

Frontend Components (~715 lines):
- components/ToolCard.tsx - Tool cards with animations
- components/TaskList.tsx - Recent tasks table view
- components/AssetLibrary.tsx - Data asset library with tabs
- hooks/useRecentTasks.ts - Task state management
- hooks/useAssets.ts - Asset state management
- pages/Portal.tsx - Main portal page
- types/portal.ts - TypeScript type definitions

Backend Verification:
- Backend API: 1495 lines code verified
- Database: dc_schema with 4 tables verified
- API endpoints: 6 endpoints tested (templates API works)

Documentation:
- Database verification report
- Backend API test report
- Phase 1 completion summary
- UI optimization report
- Development task checklist
- Development plan for Tool B

Status: Phase 1 completed (100%), ready for browser testing
Next: Phase 2 - Tool B Step 1 and 2 development

backend/src/modules/dc/tool-b/services/ConflictDetectionService.ts

@@ -0,0 +1,218 @@
+/**
+ * DC模块 - 冲突检测服务
+ * 
+ * 功能：
+ * - 比较双模型提取结果
+ * - 标记冲突字段
+ * - 计算冲突严重程度
+ * - 生成冲突报告
+ * 
+ * 平台能力复用：
+ * - ✅ logger: 日志记录
+ */
+
+import { logger } from '../../../../common/logging/index.js';
+
+export interface ConflictResult {
+  hasConflict: boolean;
+  conflictFields: string[];
+  conflictDetails: Array<{
+    fieldName: string;
+    valueA: string;
+    valueB: string;
+    similarity: number; // 0-1, 相似度
+  }>;
+  severity: 'low' | 'medium' | 'high';
+}
+
+export class ConflictDetectionService {
+  /**
+   * 检测冲突
+   * 
+   * @param resultA DeepSeek结果
+   * @param resultB Qwen结果
+   * @returns 冲突分析结果
+   */
+  detectConflict(resultA: Record<string, string>, resultB: Record<string, string>): ConflictResult {
+    try {
+      logger.info('[Conflict] Starting conflict detection');
+      
+      const conflictFields: string[] = [];
+      const conflictDetails: ConflictResult['conflictDetails'] = [];
+      
+      // 获取所有字段
+      const allFields = new Set([...Object.keys(resultA), ...Object.keys(resultB)]);
+      
+      // 逐字段比较
+      for (const field of allFields) {
+        const valueA = resultA[field] || '';
+        const valueB = resultB[field] || '';
+        
+        // 归一化后比较
+        const normalizedA = this.normalize(valueA);
+        const normalizedB = this.normalize(valueB);
+        
+        if (normalizedA !== normalizedB) {
+          // 检测到冲突
+          const similarity = this.calculateSimilarity(normalizedA, normalizedB);
+          
+          conflictFields.push(field);
+          conflictDetails.push({
+            fieldName: field,
+            valueA,
+            valueB,
+            similarity
+          });
+        }
+      }
+      
+      // 计算严重程度
+      const severity = this.calculateSeverity(conflictFields.length, allFields.size);
+      
+      const result: ConflictResult = {
+        hasConflict: conflictFields.length > 0,
+        conflictFields,
+        conflictDetails,
+        severity
+      };
+      
+      logger.info('[Conflict] Detection completed', {
+        hasConflict: result.hasConflict,
+        conflictCount: conflictFields.length,
+        severity
+      });
+      
+      return result;
+      
+    } catch (error) {
+      logger.error('[Conflict] Detection failed', { error });
+      throw error;
+    }
+  }
+  
+  /**
+   * 归一化文本
+   * 
+   * - 去除空格
+   * - 转小写
+   * - 半角化
+   * - 数值归一化（3cm = 3.0cm = 3 cm）
+   */
+  private normalize(value: string): string {
+    let normalized = String(value)
+      .toLowerCase()
+      .trim()
+      .replace(/\s+/g, '') // 去除所有空格
+      .replace(/[，。；：！？]/g, (match) => { // 全角转半角
+        return {
+          '，': ',',
+          '。': '.',
+          '；': ';',
+          '：': ':',
+          '！': '!',
+          '？': '?'
+        }[match] || match;
+      });
+    
+    // 数值归一化：提取数字
+    const numberMatch = normalized.match(/(\d+\.?\d*)\s*(cm|mm|kg|mg|ml|%)?/);
+    if (numberMatch) {
+      const num = parseFloat(numberMatch[1]);
+      const unit = numberMatch[2] || '';
+      normalized = `${num}${unit}`;
+    }
+    
+    return normalized;
+  }
+  
+  /**
+   * 计算文本相似度（Dice Coefficient）
+   * 
+   * 范围：0-1，1表示完全相同
+   */
+  private calculateSimilarity(a: string, b: string): number {
+    if (a === b) return 1;
+    if (!a || !b) return 0;
+    
+    // 生成2-gram
+    const bigramsA = this.getBigrams(a);
+    const bigramsB = this.getBigrams(b);
+    
+    if (bigramsA.size === 0 && bigramsB.size === 0) return 1;
+    if (bigramsA.size === 0 || bigramsB.size === 0) return 0;
+    
+    // 计算交集
+    const intersection = new Set([...bigramsA].filter(x => bigramsB.has(x)));
+    
+    // Dice系数：2 * |A ∩ B| / (|A| + |B|)
+    const similarity = (2 * intersection.size) / (bigramsA.size + bigramsB.size);
+    
+    return similarity;
+  }
+  
+  /**
+   * 生成2-gram集合
+   */
+  private getBigrams(str: string): Set<string> {
+    const bigrams = new Set<string>();
+    for (let i = 0; i < str.length - 1; i++) {
+      bigrams.add(str.substring(i, i + 2));
+    }
+    return bigrams;
+  }
+  
+  /**
+   * 计算冲突严重程度
+   */
+  private calculateSeverity(conflictCount: number, totalFields: number): 'low' | 'medium' | 'high' {
+    const conflictRate = conflictCount / totalFields;
+    
+    if (conflictRate === 0) return 'low';
+    if (conflictRate <= 0.3) return 'low'; // ≤30%
+    if (conflictRate <= 0.6) return 'medium'; // 30%-60%
+    return 'high'; // >60%
+  }
+  
+  /**
+   * 批量检测冲突
+   * 
+   * @param items 提取记录数组
+   * @returns 冲突统计
+   */
+  batchDetect(items: Array<{ resultA: Record<string, string>; resultB: Record<string, string> }>): {
+    totalCount: number;
+    cleanCount: number;
+    conflictCount: number;
+    severityDistribution: Record<'low' | 'medium' | 'high', number>;
+  } {
+    let cleanCount = 0;
+    let conflictCount = 0;
+    const severityDistribution = { low: 0, medium: 0, high: 0 };
+    
+    for (const item of items) {
+      const result = this.detectConflict(item.resultA, item.resultB);
+      
+      if (result.hasConflict) {
+        conflictCount++;
+        severityDistribution[result.severity]++;
+      } else {
+        cleanCount++;
+      }
+    }
+    
+    return {
+      totalCount: items.length,
+      cleanCount,
+      conflictCount,
+      severityDistribution
+    };
+  }
+}
+
+// 导出单例
+export const conflictDetectionService = new ConflictDetectionService();
+
+
+
+
+