yss-project/src/modules/project/components/drag-upload-modal/drag-upload-modal.component.ts

import { Component, Input, Output, EventEmitter, OnInit, AfterViewInit, OnChanges, OnDestroy, SimpleChanges, ChangeDetectionStrategy, ChangeDetectorRef } from '@angular/core';
import { CommonModule } from '@angular/common';
import { FormsModule } from '@angular/forms';
import { ImageAnalysisService, ImageAnalysisResult } from '../../services/image-analysis.service';

/**
 * 上传文件接口（增强版）
 */
export interface UploadFile {
  file: File;
  id: string;
  name: string;
  size: number;
  type: string;
  preview?: string;
  fileUrl?: string;  // 🔥 添加：上传后的文件URL
  status: 'pending' | 'analyzing' | 'uploading' | 'success' | 'error';
  progress: number;
  error?: string;
  analysisResult?: ImageAnalysisResult; // 图片分析结果
  suggestedStage?: string; // AI建议的阶段分类
  suggestedSpace?: string; // AI建议的空间（暂未实现）
  imageLoadError?: boolean; // 🔥 图片加载错误标记
  // 用户选择的空间和阶段（可修改）
  selectedSpace?: string;
  selectedStage?: string;
}

/**
 * 上传结果接口（增强版）
 */
export interface UploadResult {
  files: Array<{
    file: UploadFile;
    spaceId: string;
    spaceName: string;
    stageType: string;
    stageName: string;
    // 新增：提交信息跟踪字段
    analysisResult?: ImageAnalysisResult;
    submittedAt?: string;
    submittedBy?: string;
    submittedByName?: string;
    deliveryListId?: string;
  }>;
}

/**
 * 空间选项接口
 */
export interface SpaceOption {
  id: string;
  name: string;
}

/**
 * 阶段选项接口
 */
export interface StageOption {
  id: string;
  name: string;
}

@Component({
  selector: 'app-drag-upload-modal',
  standalone: true,
  imports: [CommonModule, FormsModule],
  templateUrl: './drag-upload-modal.component.html',
  styleUrls: ['./drag-upload-modal.component.scss'],
  changeDetection: ChangeDetectionStrategy.OnPush
})
export class DragUploadModalComponent implements OnInit, AfterViewInit, OnChanges, OnDestroy {
  @Input() visible: boolean = false;
  @Input() droppedFiles: File[] = [];
  @Input() availableSpaces: SpaceOption[] = []; // 可用空间列表
  @Input() availableStages: StageOption[] = []; // 可用阶段列表
  @Input() targetSpaceId: string = ''; // 拖拽目标空间ID
  @Input() targetSpaceName: string = ''; // 拖拽目标空间名称
  @Input() targetStageType: string = ''; // 拖拽目标阶段类型
  @Input() targetStageName: string = ''; // 拖拽目标阶段名称

  @Output() close = new EventEmitter<void>();
  @Output() confirm = new EventEmitter<UploadResult>();
  @Output() cancel = new EventEmitter<void>();

  // 上传文件列表
  uploadFiles: UploadFile[] = [];

  // 上传状态
  isUploading: boolean = false;
  uploadProgress: number = 0;
  uploadSuccess: boolean = false;
  uploadMessage: string = '';

  // 图片分析状态
  isAnalyzing: boolean = false;
  analysisProgress: string = '';
  analysisComplete: boolean = false;
  
  // JSON格式预览模式
  showJsonPreview: boolean = false;
  jsonPreviewData: any[] = [];

  // 🔥 图片查看器
  viewingImage: UploadFile | null = null;

  constructor(
    private cdr: ChangeDetectorRef,
    private imageAnalysisService: ImageAnalysisService
  ) {}

  ngOnInit() {
    console.log('🚀 DragUploadModal 初始化', {
      visible: this.visible,
      droppedFilesCount: this.droppedFiles.length,
      targetSpace: this.targetSpaceName,
      targetStage: this.targetStageName
    });
  }

  ngOnChanges(changes: SimpleChanges) {
    // 🔥 优化：只在关键变化时输出日志，避免控制台刷屏
    if (changes['visible'] || changes['droppedFiles']) {
      console.log('🔄 ngOnChanges (关键变化)', {
        visible: this.visible,
        droppedFilesCount: this.droppedFiles.length
      });
    }
    
    // 当弹窗显示或文件发生变化时处理
    if (changes['visible'] && this.visible && this.droppedFiles.length > 0) {
      console.log('📎 弹窗显示，开始处理文件');
      this.processDroppedFiles();
    } else if (changes['droppedFiles'] && this.droppedFiles.length > 0 && this.visible) {
      console.log('📎 文件变化，开始处理文件');
      this.processDroppedFiles();
    }
  }

  ngAfterViewInit() {
    // AI分析将在图片预览生成完成后自动开始
    // 不需要在这里手动启动
  }

  /**
   * 处理拖拽的文件
   */
  private async processDroppedFiles() {
    console.log('📎 开始处理拖拽文件:', {
      droppedFilesCount: this.droppedFiles.length,
      files: this.droppedFiles.map(f => ({ name: f.name, type: f.type, size: f.size }))
    });
    
    if (this.droppedFiles.length === 0) {
      console.warn('⚠️ 没有文件需要处理');
      return;
    }
    
    this.uploadFiles = this.droppedFiles.map((file, index) => ({
      file,
      id: `upload_${Date.now()}_${index}`,
      name: file.name,
      size: file.size,
      type: file.type,
      status: 'pending' as const,
      progress: 0,
      // 初始化选择的空间和阶段为空，等待AI分析或用户选择
      selectedSpace: '',
      selectedStage: ''
    }));

    console.log('🖼️ 开始生成图片预览...', {
      uploadFilesCount: this.uploadFiles.length,
      imageFiles: this.uploadFiles.filter(f => this.isImageFile(f.file)).map(f => f.name)
    });
    
    // 为图片文件生成预览
    const previewPromises = [];
    for (const uploadFile of this.uploadFiles) {
      if (this.isImageFile(uploadFile.file)) {
        console.log(`🖼️ 开始为 ${uploadFile.name} 生成预览`);
        previewPromises.push(this.generatePreview(uploadFile));
      } else {
        console.log(`📄 ${uploadFile.name} 不是图片文件，跳过预览生成`);
      }
    }
    
    try {
      // 等待所有预览生成完成
      await Promise.all(previewPromises);
      console.log('✅ 所有图片预览生成完成');
      
      // 检查预览生成结果
      this.uploadFiles.forEach(file => {
        if (this.isImageFile(file.file)) {
          console.log(`🖼️ ${file.name} 预览状态:`, {
            hasPreview: !!file.preview,
            previewLength: file.preview ? file.preview.length : 0
          });
        }
      });
    } catch (error) {
      console.error('❌ 图片预览生成失败:', error);
    }

    this.cdr.markForCheck();
    
    // 预览生成完成后，延迟一点开始AI分析
    setTimeout(() => {
      this.startAutoAnalysis();
    }, 300);
  }

  /**
   * 生成图片预览
   * 🔥 企业微信环境优先使用ObjectURL，避免CSP策略限制base64
   */
  private generatePreview(uploadFile: UploadFile): Promise<void> {
    return new Promise((resolve, reject) => {
      try {
        // 🔥 企业微信环境检测
        const isWxWork = this.isWxWorkEnvironment();
        
        if (isWxWork) {
          // 🔥 企业微信环境：直接使用ObjectURL（更快、更可靠）
          try {
            const objectUrl = URL.createObjectURL(uploadFile.file);
            uploadFile.preview = objectUrl;
            console.log(`✅ 图片预览生成成功 (ObjectURL): ${uploadFile.name}`, {
              objectUrl: objectUrl,
              environment: 'wxwork'
            });
            this.cdr.markForCheck();
            resolve();
          } catch (error) {
            console.error(`❌ ObjectURL生成失败: ${uploadFile.name}`, error);
            uploadFile.preview = undefined;
            this.cdr.markForCheck();
            resolve();
          }
        } else {
          // 🔥 非企业微信环境：使用base64 dataURL（兼容性更好）
          const reader = new FileReader();
          
          reader.onload = (e) => {
            try {
              const result = e.target?.result as string;
              if (result && result.startsWith('data:image')) {
                uploadFile.preview = result;
                console.log(`✅ 图片预览生成成功 (Base64): ${uploadFile.name}`, {
                  previewLength: result.length,
                  isBase64: result.includes('base64'),
                  mimeType: result.substring(5, result.indexOf(';'))
                });
                this.cdr.markForCheck();
                resolve();
              } else {
                console.error(`❌ 预览数据格式错误: ${uploadFile.name}`, result?.substring(0, 50));
                uploadFile.preview = undefined; // 清除无效预览
                this.cdr.markForCheck();
                resolve(); // 仍然resolve，不阻塞流程
              }
            } catch (error) {
              console.error(`❌ 处理预览数据失败: ${uploadFile.name}`, error);
              uploadFile.preview = undefined;
              this.cdr.markForCheck();
              resolve();
            }
          };
          
          reader.onerror = (error) => {
            console.error(`❌ FileReader读取失败: ${uploadFile.name}`, error);
            uploadFile.preview = undefined;
            this.cdr.markForCheck();
            resolve(); // 不要reject，避免中断整个流程
          };
          
          reader.readAsDataURL(uploadFile.file);
        }
      } catch (error) {
        console.error(`❌ 图片预览生成初始化失败: ${uploadFile.name}`, error);
        uploadFile.preview = undefined;
        this.cdr.markForCheck();
        resolve();
      }
    });
  }

  /**
   * 检查是否为图片文件
   */
  isImageFile(file: File): boolean {
    return file.type.startsWith('image/');
  }

  /**
   * 自动开始AI分析
   */
  private async startAutoAnalysis(): Promise<void> {
    console.log('🤖 开始自动AI分析...');
    
    // 🔥 使用真实AI分析（豆包1.6视觉识别）
    await this.startImageAnalysis();
    
    // 分析完成后，自动设置空间和阶段
    this.autoSetSpaceAndStage();
  }

  /**
   * 自动设置空间和阶段（增强版，支持AI智能分类）
   */
  private autoSetSpaceAndStage(): void {
    for (const file of this.uploadFiles) {
      // 🤖 优先使用AI分析结果进行智能分类
      if (file.analysisResult) {
        // 使用AI推荐的空间
        if (this.targetSpaceId) {
          // 如果有指定的目标空间，使用指定空间
          file.selectedSpace = this.targetSpaceId;
          console.log(`🎯 使用指定空间: ${this.targetSpaceName}`);
        } else {
          // 否则使用AI推荐的空间
          const suggestedSpace = this.inferSpaceFromAnalysis(file.analysisResult);
          const spaceOption = this.availableSpaces.find(space => 
            space.name === suggestedSpace || space.name.includes(suggestedSpace)
          );
          if (spaceOption) {
            file.selectedSpace = spaceOption.id;
            console.log(`🤖 AI推荐空间: ${suggestedSpace}`);
          } else if (this.availableSpaces.length > 0) {
            file.selectedSpace = this.availableSpaces[0].id;
          }
        }

        // 🎯 使用AI推荐的阶段（这是核心功能）
        if (file.suggestedStage) {
          file.selectedStage = file.suggestedStage;
          console.log(`🤖 AI推荐阶段: ${file.name} -> ${file.suggestedStage} (置信度: ${file.analysisResult.content.confidence}%)`);
        }
      } else {
        // 如果没有AI分析结果，使用默认值
        if (this.targetSpaceId) {
          file.selectedSpace = this.targetSpaceId;
        } else if (this.availableSpaces.length > 0) {
          file.selectedSpace = this.availableSpaces[0].id;
        }
        
        if (this.targetStageType) {
          file.selectedStage = this.targetStageType;
        } else {
          file.selectedStage = 'white_model'; // 默认白模阶段
        }
      }
    }
    
    console.log('✅ AI智能分类完成');
    this.cdr.markForCheck();
  }

  /**
   * 生成JSON格式预览数据
   */
  private generateJsonPreview(): void {
    this.jsonPreviewData = this.uploadFiles.map((file, index) => ({
      id: file.id,
      fileName: file.name,
      fileSize: this.getFileSizeDisplay(file.size),
      fileType: this.getFileTypeFromName(file.name),
      status: "待分析",
      space: "客厅", // 默认空间，后续AI分析会更新
      stage: "白模", // 默认阶段，后续AI分析会更新
      confidence: 0,
      preview: file.preview || null,
      analysis: {
        quality: "未知",
        dimensions: "分析中...",
        category: "识别中...",
        suggestedStage: "分析中..."
      }
    }));
    
    this.showJsonPreview = true;
    console.log('JSON预览数据:', this.jsonPreviewData);
  }

  /**
   * 根据文件名获取文件类型
   */
  private getFileTypeFromName(fileName: string): string {
    const ext = fileName.toLowerCase().split('.').pop();
    switch (ext) {
      case 'jpg':
      case 'jpeg':
      case 'png':
      case 'gif':
      case 'webp':
        return '图片';
      case 'pdf':
        return 'PDF文档';
      case 'dwg':
      case 'dxf':
        return 'CAD图纸';
      case 'skp':
        return 'SketchUp模型';
      case 'max':
        return '3ds Max文件';
      default:
        return '其他文件';
    }
  }

  /**
   * 获取文件大小显示
   */
  getFileSizeDisplay(size: number): string {
    if (size < 1024) return `${size} B`;
    if (size < 1024 * 1024) return `${(size / 1024).toFixed(1)} KB`;
    return `${(size / (1024 * 1024)).toFixed(1)} MB`;
  }

  /**
   * 获取文件类型图标
   */
  getFileTypeIcon(file: UploadFile): string {
    if (this.isImageFile(file.file)) return '🖼️';
    if (file.name.endsWith('.pdf')) return '📄';
    if (file.name.endsWith('.dwg') || file.name.endsWith('.dxf')) return '📐';
    if (file.name.endsWith('.skp')) return '🏗️';
    if (file.name.endsWith('.max')) return '🎨';
    return '📁';
  }

  /**
   * 移除文件
   */
  removeFile(fileId: string) {
    this.uploadFiles = this.uploadFiles.filter(f => f.id !== fileId);
    this.cdr.markForCheck();
  }

  /**
   * 添加更多文件
   */
  addMoreFiles(event: Event) {
    const input = event.target as HTMLInputElement;
    if (input.files) {
      const newFiles = Array.from(input.files);
      const newUploadFiles = newFiles.map((file, index) => ({
        file,
        id: `upload_${Date.now()}_${this.uploadFiles.length + index}`,
        name: file.name,
        size: file.size,
        type: file.type,
        status: 'pending' as const,
        progress: 0
      }));

      // 为新的图片文件生成预览
      newUploadFiles.forEach(uploadFile => {
        if (this.isImageFile(uploadFile.file)) {
          this.generatePreview(uploadFile);
        }
      });

      this.uploadFiles.push(...newUploadFiles);
      this.cdr.markForCheck();
    }
    
    // 重置input
    input.value = '';
  }

  /**
   * 确认上传
   */
  async confirmUpload(): Promise<void> {
    if (this.uploadFiles.length === 0 || this.isUploading) return;

    try {
      // 设置上传状态
      this.isUploading = true;
      this.uploadSuccess = false;
      this.uploadMessage = '正在上传文件...';
      this.cdr.markForCheck();

      // 生成交付清单ID
      const deliveryListId = `delivery_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
      
      // 自动确认所有已分析的文件
      const result: UploadResult = {
        files: this.uploadFiles.map(file => ({
          file: file, // 传递完整的UploadFile对象
          spaceId: file.selectedSpace || (this.availableSpaces.length > 0 ? this.availableSpaces[0].id : ''),
          spaceName: this.getSpaceName(file.selectedSpace || (this.availableSpaces.length > 0 ? this.availableSpaces[0].id : '')),
          stageType: file.selectedStage || file.suggestedStage || 'white_model',
          stageName: this.getStageName(file.selectedStage || file.suggestedStage || 'white_model'),
          // 添加AI分析结果和提交信息
          analysisResult: file.analysisResult,
          submittedAt: new Date().toISOString(),
          submittedBy: 'current_user', // TODO: 获取当前用户ID
          submittedByName: 'current_user_name', // TODO: 获取当前用户名称
          deliveryListId: deliveryListId
        }))
      };

      console.log('📤 确认上传文件:', result);
      
      // 发送上传事件
      this.confirm.emit(result);
      
      // 模拟上传过程（实际上传完成后由父组件调用成功方法）
      await new Promise(resolve => setTimeout(resolve, 1000));
      
      this.uploadSuccess = true;
      this.uploadMessage = `上传成功！共上传 ${this.uploadFiles.length} 个文件`;
      
      // 2秒后自动关闭弹窗
      setTimeout(() => {
        this.close.emit();
      }, 2000);
      
    } catch (error) {
      console.error('上传失败:', error);
      this.uploadMessage = '上传失败，请重试';
    } finally {
      this.isUploading = false;
      this.cdr.markForCheck();
    }
  }

  /**
   * 取消上传
   */
  cancelUpload(): void {
    this.cleanupObjectURLs();
    this.cancel.emit();
  }


  /**
   * 关闭弹窗
   */
  closeModal(): void {
    this.cleanupObjectURLs();
    this.close.emit();
  }

  /**
   * 🔥 清理ObjectURL资源
   */
  private cleanupObjectURLs(): void {
    this.uploadFiles.forEach(file => {
      if (file.preview && file.preview.startsWith('blob:')) {
        try {
          URL.revokeObjectURL(file.preview);
        } catch (error) {
          console.error(`❌ 释放ObjectURL失败: ${file.name}`, error);
        }
      }
    });
  }

  /**
   * 阻止事件冒泡
   */
  preventDefault(event: Event): void {
    event.stopPropagation();
  }

  /**
   * 🔥 增强的快速分析（推荐，更准确且不阻塞界面）
   */
  private async startEnhancedMockAnalysis(): Promise<void> {
    const imageFiles = this.uploadFiles.filter(f => this.isImageFile(f.file));
    if (imageFiles.length === 0) {
      this.analysisComplete = true;
      return;
    }

    console.log('🚀 开始增强快速分析...', {
      imageCount: imageFiles.length,
      targetSpace: this.targetSpaceName,
      targetStage: this.targetStageName
    });

    // 不显示全屏覆盖层，直接在表格中显示分析状态
    this.isAnalyzing = false; // 不显示全屏覆盖
    this.analysisComplete = false;
    this.analysisProgress = '正在分析图片...';
    this.cdr.markForCheck();

    try {
      // 并行处理所有图片，提高速度
      const analysisPromises = imageFiles.map(async (uploadFile, index) => {
        // 设置分析状态
        uploadFile.status = 'analyzing';
        this.cdr.markForCheck();

        // 模拟短暂分析过程（200-500ms）
        await new Promise(resolve => setTimeout(resolve, 200 + Math.random() * 300));

        try {
          // 使用增强的分析算法
          const analysisResult = this.generateEnhancedAnalysisResult(uploadFile.file);

          // 保存分析结果
          uploadFile.analysisResult = analysisResult;
          uploadFile.suggestedStage = analysisResult.suggestedStage;
          uploadFile.selectedStage = analysisResult.suggestedStage;
          uploadFile.status = 'pending';

          // 更新JSON预览数据
          this.updateJsonPreviewData(uploadFile, analysisResult);

          console.log(`✨ ${uploadFile.name} 增强分析完成:`, {
            suggestedStage: analysisResult.suggestedStage,
            confidence: analysisResult.content.confidence,
            quality: analysisResult.quality.level,
            reason: analysisResult.suggestedReason
          });
        } catch (error) {
          console.error(`分析 ${uploadFile.name} 失败:`, error);
          uploadFile.status = 'pending';
        }

        this.cdr.markForCheck();
      });

      // 等待所有分析完成
      await Promise.all(analysisPromises);
      
      this.analysisProgress = `分析完成！共分析 ${imageFiles.length} 张图片`;
      this.analysisComplete = true;
      
      console.log('✅ 所有图片增强分析完成');
    } catch (error) {
      console.error('增强分析过程出错:', error);
      this.analysisProgress = '分析过程出错';
      this.analysisComplete = true;
    } finally {
      this.isAnalyzing = false;
      setTimeout(() => {
        this.analysisProgress = '';
        this.cdr.markForCheck();
      }, 2000);
      this.cdr.markForCheck();
    }
  }

  /**
   * 生成增强的分析结果（更准确的分类）
   */
  private generateEnhancedAnalysisResult(file: File): ImageAnalysisResult {
    const fileName = file.name.toLowerCase();
    const fileSize = file.size;
    
    // 获取目标空间信息
    const targetSpaceName = this.targetSpaceName || '客厅';
    
    console.log(`🔍 分析文件: ${fileName}`, {
      targetSpace: targetSpaceName,
      targetStage: this.targetStageName,
      fileSize: fileSize
    });

    // 增强的阶段分类算法
    let suggestedStage: 'white_model' | 'soft_decor' | 'rendering' | 'post_process' = 'white_model';
    let confidence = 75;
    let reason = '基于文件名和特征分析';

    // 1. 文件名关键词分析
    if (fileName.includes('白模') || fileName.includes('white') || fileName.includes('model') || 
        fileName.includes('毛坯') || fileName.includes('空间') || fileName.includes('结构')) {
      suggestedStage = 'white_model';
      confidence = 90;
      reason = '文件名包含白模相关关键词';
    } else if (fileName.includes('软装') || fileName.includes('soft') || fileName.includes('decor') || 
               fileName.includes('家具') || fileName.includes('furniture') || fileName.includes('装饰')) {
      suggestedStage = 'soft_decor';
      confidence = 88;
      reason = '文件名包含软装相关关键词';
    } else if (fileName.includes('渲染') || fileName.includes('render') || fileName.includes('效果') || 
               fileName.includes('effect') || fileName.includes('光照')) {
      suggestedStage = 'rendering';
      confidence = 92;
      reason = '文件名包含渲染相关关键词';
    } else if (fileName.includes('后期') || fileName.includes('post') || fileName.includes('final') || 
               fileName.includes('最终') || fileName.includes('完成') || fileName.includes('成品')) {
      suggestedStage = 'post_process';
      confidence = 95;
      reason = '文件名包含后期处理相关关键词';
    }

    // 2. 文件大小分析（辅助判断）
    if (fileSize > 5 * 1024 * 1024) { // 大于5MB
      if (suggestedStage === 'white_model') {
        // 大文件更可能是渲染或后期
        suggestedStage = 'rendering';
        confidence = Math.min(confidence + 10, 95);
        reason += '，大文件更可能是高质量渲染图';
      }
    }

    // 3. 根据目标空间调整置信度
    if (this.targetStageName) {
      const targetStageMap: Record<string, 'white_model' | 'soft_decor' | 'rendering' | 'post_process'> = {
        '白模': 'white_model',
        '软装': 'soft_decor', 
        '渲染': 'rendering',
        '后期': 'post_process'
      };
      
      const targetStage = targetStageMap[this.targetStageName];
      if (targetStage && targetStage === suggestedStage) {
        confidence = Math.min(confidence + 15, 98);
        reason += `，与目标阶段一致`;
      }
    }

    // 生成质量评分
    const qualityScore = this.calculateQualityScore(suggestedStage, fileSize);
    
    const result: ImageAnalysisResult = {
      fileName: file.name,
      fileSize: file.size,
      dimensions: {
        width: 1920,
        height: 1080
      },
      quality: {
        score: qualityScore,
        level: this.getQualityLevel(qualityScore),
        sharpness: qualityScore + 5,
        brightness: qualityScore - 5,
        contrast: qualityScore,
        detailLevel: qualityScore >= 90 ? 'ultra_detailed' : qualityScore >= 75 ? 'detailed' : qualityScore >= 60 ? 'basic' : 'minimal',
        pixelDensity: qualityScore >= 90 ? 'ultra_high' : qualityScore >= 75 ? 'high' : qualityScore >= 60 ? 'medium' : 'low',
        textureQuality: qualityScore,
        colorDepth: qualityScore
      },
      content: {
        category: suggestedStage,
        confidence: confidence,
        description: `${targetSpaceName}${this.getStageName(suggestedStage)}图`,
        tags: [this.getStageName(suggestedStage), targetSpaceName, '设计'],
        isArchitectural: true,
        hasInterior: true,
        hasFurniture: suggestedStage !== 'white_model',
        hasLighting: suggestedStage === 'rendering' || suggestedStage === 'post_process'
      },
      technical: {
        format: file.type,
        colorSpace: 'sRGB',
        dpi: 72,
        aspectRatio: '16:9',
        megapixels: 2.07
      },
      suggestedStage: suggestedStage,
      suggestedReason: reason,
      analysisTime: 100,
      analysisDate: new Date().toISOString()
    };

    return result;
  }

  /**
   * 计算质量评分
   */
  private calculateQualityScore(stage: string, fileSize: number): number {
    const baseScores = {
      'white_model': 75,
      'soft_decor': 82,
      'rendering': 88,
      'post_process': 95
    };
    
    let score = baseScores[stage as keyof typeof baseScores] || 75;
    
    // 根据文件大小调整
    if (fileSize > 10 * 1024 * 1024) score += 5; // 大于10MB
    else if (fileSize < 1024 * 1024) score -= 5; // 小于1MB
    
    return Math.max(60, Math.min(100, score));
  }

  /**
   * 获取质量等级
   */
  private getQualityLevel(score: number): 'low' | 'medium' | 'high' | 'ultra' {
    if (score >= 90) return 'ultra';
    if (score >= 80) return 'high';
    if (score >= 70) return 'medium';
    return 'low';
  }

  /**
   * 获取质量等级显示文本
   */
  getQualityLevelText(level: 'low' | 'medium' | 'high' | 'ultra'): string {
    const levelMap = {
      'ultra': '优秀',
      'high': '良好', 
      'medium': '中等',
      'low': '较差'
    };
    return levelMap[level] || '未知';
  }

  /**
   * 获取质量等级颜色
   */
  getQualityLevelColor(level: 'low' | 'medium' | 'high' | 'ultra'): string {
    const colorMap = {
      'ultra': '#52c41a',  // 绿色 - 优秀
      'high': '#1890ff',   // 蓝色 - 良好
      'medium': '#faad14', // 橙色 - 中等
      'low': '#ff4d4f'     // 红色 - 较差
    };
    return colorMap[level] || '#d9d9d9';
  }

  /**
   * 🤖 真实AI视觉分析（基于图片内容）
   * 专为交付执行阶段优化，根据图片真实内容判断阶段
   */
  private async startImageAnalysis(): Promise<void> {
    const imageFiles = this.uploadFiles.filter(f => this.isImageFile(f.file));
    if (imageFiles.length === 0) {
      this.analysisComplete = true;
      return;
    }

    console.log('🤖 [真实AI分析] 开始分析...', {
      文件数量: imageFiles.length,
      目标空间: this.targetSpaceName,
      目标阶段: this.targetStageName
    });

    // 🔥 不显示全屏遮罩，直接在表格中显示分析状态
    this.isAnalyzing = false;
    this.analysisComplete = false;
    this.analysisProgress = '正在启动AI视觉分析...';
    this.cdr.markForCheck();

    try {
      // 🚀 并行分析图片（提高速度，适合多图场景）
      this.analysisProgress = `正在分析 ${imageFiles.length} 张图片...`;
      this.cdr.markForCheck();

      const analysisPromises = imageFiles.map(async (uploadFile, i) => {
        // 更新文件状态为分析中
        uploadFile.status = 'analyzing';
        this.cdr.markForCheck();

        try {
          // 🤖 使用真实AI视觉分析（基于图片内容）
          console.log(`🤖 [${i + 1}/${imageFiles.length}] 开始AI视觉分析: ${uploadFile.name}`);
          
          if (!uploadFile.preview) {
            console.warn(`⚠️ ${uploadFile.name} 没有预览，跳过AI分析`);
            uploadFile.selectedStage = this.targetStageType || 'rendering';
            uploadFile.suggestedStage = this.targetStageType || 'rendering';
            uploadFile.status = 'pending';
            return;
          }

          // 🔥 调用真实的AI分析服务（analyzeImage）
          const analysisResult = await this.imageAnalysisService.analyzeImage(
            uploadFile.preview,  // 图片预览URL（Base64或ObjectURL）
            uploadFile.file,     // 文件对象
            (progress) => {
              // 在表格行内显示进度
              console.log(`[${i + 1}/${imageFiles.length}] ${progress}`);
            },
            true  // 🔥 快速模式：跳过专业分析，加快速度
          );

          console.log(`✅ [${i + 1}/${imageFiles.length}] AI分析完成: ${uploadFile.name}`, {
            建议阶段: analysisResult.suggestedStage,
            置信度: `${analysisResult.content.confidence}%`,
            空间类型: analysisResult.content.spaceType || '未识别',
            有颜色: analysisResult.content.hasColor,
            有纹理: analysisResult.content.hasTexture,
            有灯光: analysisResult.content.hasLighting,
            质量分数: analysisResult.quality.score,
            分析耗时: `${analysisResult.analysisTime}ms`
          });

          // 保存分析结果
          uploadFile.analysisResult = analysisResult;
          uploadFile.suggestedStage = analysisResult.suggestedStage;
          uploadFile.selectedStage = analysisResult.suggestedStage;  // 🔥 自动使用AI建议的阶段
          uploadFile.status = 'pending';

          // 更新JSON预览数据
          this.updateJsonPreviewData(uploadFile, analysisResult);

        } catch (error: any) {
          console.error(`❌ AI分析 ${uploadFile.name} 失败:`, error);
          uploadFile.status = 'pending';
          // 分析失败时，使用拖拽目标阶段或默认值
          uploadFile.selectedStage = this.targetStageType || 'rendering';
          uploadFile.suggestedStage = this.targetStageType || 'rendering';
        }

        this.cdr.markForCheck();
      });

      // 🚀 并行等待所有分析完成
      await Promise.all(analysisPromises);

      this.analysisProgress = `✅ AI视觉分析完成！共分析 ${imageFiles.length} 张图片`;
      this.analysisComplete = true;

      console.log('✅ [真实AI分析] 所有文件分析完成（并行）');

    } catch (error) {
      console.error('❌ [真实AI分析] 过程出错:', error);
      this.analysisProgress = '分析过程出错';
      this.analysisComplete = true;
    } finally {
      this.isAnalyzing = false;
      setTimeout(() => {
        this.analysisProgress = '';
        this.cdr.markForCheck();
      }, 2000);
      this.cdr.markForCheck();
    }
  }

  /**
   * 🔥 基于文件名的快速分析（返回简化JSON）
   * 返回格式: { "space": "客厅", "stage": "软装", "confidence": 95 }
   */
  private async quickAnalyzeByFileName(file: File): Promise<{ space: string; stage: string; confidence: number }> {
    const fileName = file.name.toLowerCase();
    
    // 🔥 阶段判断（优先级：白膜 > 软装 > 渲染 > 后期）
    let stage = this.targetStageType || 'rendering'; // 🔥 优先使用目标阶段，否则默认渲染
    let confidence = 50; // 🔥 默认低置信度，提示用户需要确认
    let hasKeyword = false; // 🔥 标记是否匹配到关键词
    
    // 白膜关键词（最高优先级）- 解决白膜被误判问题
    if (fileName.includes('白模') || fileName.includes('bm') || fileName.includes('whitemodel') ||
        fileName.includes('模型') || fileName.includes('建模') || fileName.includes('白膜')) {
      stage = 'white_model';
      confidence = 95;
      hasKeyword = true;
    }
    // 软装关键词
    else if (fileName.includes('软装') || fileName.includes('rz') || fileName.includes('softdecor') ||
             fileName.includes('家具') || fileName.includes('配饰') || fileName.includes('陈设')) {
      stage = 'soft_decor';
      confidence = 92;
      hasKeyword = true;
    }
    // 后期关键词
    else if (fileName.includes('后期') || fileName.includes('hq') || fileName.includes('postprocess') ||
             fileName.includes('修图') || fileName.includes('精修') || fileName.includes('调色')) {
      stage = 'post_process';
      confidence = 90;
      hasKeyword = true;
    }
    // 渲染关键词
    else if (fileName.includes('渲染') || fileName.includes('xr') || fileName.includes('rendering') ||
             fileName.includes('效果图') || fileName.includes('render')) {
      stage = 'rendering';
      confidence = 88;
      hasKeyword = true;
    }
    // 🔥 如果没有匹配到关键词，但有目标阶段，使用目标阶段并提升置信度
    else if (this.targetStageType) {
      stage = this.targetStageType;
      confidence = 70; // 🔥 使用目标阶段时，置信度提升到70%
      console.log(`⚠️ [文件名分析] 文件名无关键词，使用拖拽目标阶段: ${this.targetStageName}`);
    }

    // 🔥 空间判断
    let space = this.targetSpaceName || '未知空间';
    
    if (fileName.includes('客厅') || fileName.includes('kt') || fileName.includes('living')) {
      space = '客厅';
      confidence = Math.min(confidence + 5, 98);
    } else if (fileName.includes('卧室') || fileName.includes('ws') || fileName.includes('bedroom') ||
               fileName.includes('主卧') || fileName.includes('次卧')) {
      space = '卧室';
      confidence = Math.min(confidence + 5, 98);
    } else if (fileName.includes('餐厅') || fileName.includes('ct') || fileName.includes('dining')) {
      space = '餐厅';
      confidence = Math.min(confidence + 5, 98);
    } else if (fileName.includes('厨房') || fileName.includes('cf') || fileName.includes('kitchen')) {
      space = '厨房';
      confidence = Math.min(confidence + 5, 98);
    } else if (fileName.includes('卫生间') || fileName.includes('wsj') || fileName.includes('bathroom') ||
               fileName.includes('浴室') || fileName.includes('厕所')) {
      space = '卫生间';
      confidence = Math.min(confidence + 5, 98);
    } else if (fileName.includes('书房') || fileName.includes('sf') || fileName.includes('study')) {
      space = '书房';
      confidence = Math.min(confidence + 5, 98);
    } else if (fileName.includes('阳台') || fileName.includes('yt') || fileName.includes('balcony')) {
      space = '阳台';
      confidence = Math.min(confidence + 5, 98);
    } else if (fileName.includes('玄关') || fileName.includes('xg') || fileName.includes('entrance')) {
      space = '玄关';
      confidence = Math.min(confidence + 5, 98);
    }

    console.log(`🔍 [文件名分析] ${fileName} → 空间: ${space}, 阶段: ${stage}, 置信度: ${confidence}%`);

    return {
      space,
      stage,
      confidence
    };
  }

  /**
   * 🔥 增强的快速分析（已废弃，仅保留作为参考）
   */
  private async startEnhancedMockAnalysis_DEPRECATED(): Promise<void> {
    const imageFiles = this.uploadFiles.filter(f => this.isImageFile(f.file));
    if (imageFiles.length === 0) {
      this.analysisComplete = true;
      return;
    }

    this.isAnalyzing = true;
    this.analysisComplete = false;
    this.analysisProgress = '准备分析图片...';
    this.cdr.markForCheck();

    try {
      for (let i = 0; i < imageFiles.length; i++) {
        const uploadFile = imageFiles[i];

        // 更新文件状态为分析中
        uploadFile.status = 'analyzing';
        this.analysisProgress = `正在分析 ${uploadFile.name} (${i + 1}/${imageFiles.length})`;
        this.cdr.markForCheck();

        try {
          // 使用预览URL进行分析
          if (uploadFile.preview) {
            const analysisResult = await this.imageAnalysisService.analyzeImage(
              uploadFile.preview,
              uploadFile.file,
              (progress) => {
                this.analysisProgress = `${uploadFile.name}: ${progress}`;
                this.cdr.markForCheck();
              }
            );

            // 保存分析结果
            uploadFile.analysisResult = analysisResult;
            uploadFile.suggestedStage = analysisResult.suggestedStage;
            // 自动设置为AI建议的阶段
            uploadFile.selectedStage = analysisResult.suggestedStage;
            uploadFile.status = 'pending';

            // 更新JSON预览数据
            this.updateJsonPreviewData(uploadFile, analysisResult);

            console.log(`${uploadFile.name} 分析完成:`, analysisResult);
          }
        } catch (error) {
          console.error(`分析 ${uploadFile.name} 失败:`, error);
          uploadFile.status = 'pending'; // 分析失败仍可上传
        }

        this.cdr.markForCheck();
      }

      this.analysisProgress = '图片分析完成';
      this.analysisComplete = true;

    } catch (error) {
      console.error('图片分析过程出错:', error);
      this.analysisProgress = '分析过程出错';
      this.analysisComplete = true;
    } finally {
      this.isAnalyzing = false;
      setTimeout(() => {
        this.analysisProgress = '';
        this.cdr.markForCheck();
      }, 2000);
      this.cdr.markForCheck();
    }
  }

  /**
   * 更新JSON预览数据
   */
  private updateJsonPreviewData(uploadFile: UploadFile, analysisResult: ImageAnalysisResult): void {
    const jsonItem = this.jsonPreviewData.find(item => item.id === uploadFile.id);
    if (jsonItem) {
      // 根据AI分析结果更新空间和阶段
      jsonItem.stage = this.getSuggestedStageText(analysisResult.suggestedStage);
      jsonItem.space = this.inferSpaceFromAnalysis(analysisResult);
      jsonItem.confidence = analysisResult.content.confidence;
      jsonItem.status = "分析完成";
      jsonItem.analysis = {
        quality: analysisResult.quality.level,
        dimensions: `${analysisResult.dimensions.width}x${analysisResult.dimensions.height}`,
        category: analysisResult.content.category,
        suggestedStage: this.getSuggestedStageText(analysisResult.suggestedStage)
      };
    }
  }

  /**
   * 从AI分析结果推断空间类型
   */
  inferSpaceFromAnalysis(analysisResult: ImageAnalysisResult): string {
    const tags = analysisResult.content.tags;
    const description = analysisResult.content.description.toLowerCase();
    
    // 基于标签和描述推断空间类型
    if (tags.includes('客厅') || description.includes('客厅') || description.includes('living')) {
      return '客厅';
    } else if (tags.includes('卧室') || description.includes('卧室') || description.includes('bedroom')) {
      return '卧室';
    } else if (tags.includes('厨房') || description.includes('厨房') || description.includes('kitchen')) {
      return '厨房';
    } else if (tags.includes('卫生间') || description.includes('卫生间') || description.includes('bathroom')) {
      return '卫生间';
    } else if (tags.includes('餐厅') || description.includes('餐厅') || description.includes('dining')) {
      return '餐厅';
    } else {
      return '客厅'; // 默认空间
    }
  }

  /**
   * 获取分析状态显示文本
   */
  getAnalysisStatusText(file: UploadFile): string {
    if (file.status === 'analyzing') {
      return '分析中...';
    }
    if (file.analysisResult) {
      const result = file.analysisResult;
      const categoryText = this.getSuggestedStageText(result.content.category);
      const qualityText = this.getQualityLevelText(result.quality.level);
      return `${categoryText} (${qualityText}, ${result.content.confidence}%置信度)`;
    }
    return '';
  }


  /**
   * 获取建议阶段的显示文本
   */
  getSuggestedStageText(stageType: string): string {
    const stageMap: { [key: string]: string } = {
      'white_model': '白模',
      'soft_decor': '软装',
      'rendering': '渲染',
      'post_process': '后期'
    };
    return stageMap[stageType] || stageType;
  }


  /**
   * 计算文件总大小
   */
  getTotalSize(): number {
    try {
      return this.uploadFiles?.reduce((sum, f) => sum + (f?.size || 0), 0) || 0;
    } catch {
      let total = 0;
      for (const f of this.uploadFiles || []) total += f?.size || 0;
      return total;
    }
  }

  /**
   * 更新文件的选择空间
   */
  updateFileSpace(fileId: string, spaceId: string) {
    const file = this.uploadFiles.find(f => f.id === fileId);
    if (file) {
      file.selectedSpace = spaceId;
      this.cdr.markForCheck();
    }
  }

  /**
   * 更新文件的选择阶段
   */
  updateFileStage(fileId: string, stageId: string) {
    const file = this.uploadFiles.find(f => f.id === fileId);
    if (file) {
      file.selectedStage = stageId;
      this.cdr.markForCheck();
    }
  }

  /**
   * 获取空间名称
   */
  getSpaceName(spaceId: string): string {
    const space = this.availableSpaces.find(s => s.id === spaceId);
    return space?.name || '';
  }

  /**
   * 获取阶段名称
   */
  getStageName(stageId: string): string {
    const stage = this.availableStages.find(s => s.id === stageId);
    return stage?.name || '';
  }

  /**
   * 获取文件总数
   */
  getFileCount(): number {
    return this.uploadFiles.length;
  }

  /**
   * 检查是否可以确认上传
   */
  canConfirm(): boolean {
    if (this.uploadFiles.length === 0) return false;
    if (this.isAnalyzing) return false;
    // 检查是否所有文件都已选择空间和阶段
    return this.uploadFiles.every(f => f.selectedSpace && f.selectedStage);
  }

  /**
   * 获取分析进度百分比
   */
  getAnalysisProgressPercent(): number {
    if (this.uploadFiles.length === 0) return 0;
    const processedCount = this.uploadFiles.filter(f => f.status !== 'pending').length;
    return Math.round((processedCount / this.uploadFiles.length) * 100);
  }

  /**
   * 获取已分析文件数量
   */
  getAnalyzedFilesCount(): number {
    return this.uploadFiles.filter(f => f.analysisResult).length;
  }

  /**
   * 🔥 查看完整图片
   */
  viewFullImage(file: UploadFile): void {
    if (file.preview) {
      this.viewingImage = file;
      this.cdr.markForCheck();
      console.log('🖼️ 打开图片查看器:', file.name);
    }
  }

  /**
   * 🔥 关闭图片查看器
   */
  closeImageViewer(): void {
    this.viewingImage = null;
    this.cdr.markForCheck();
    console.log('❌ 关闭图片查看器');
  }

  /**
   * 🔥 图片加载错误处理
   */
  onImageError(event: Event, file: UploadFile): void {
    console.error('❌ 图片加载失败:', file.name, {
      preview: file.preview ? file.preview.substring(0, 100) + '...' : 'null',
      fileUrl: file.fileUrl,
      isWxWork: this.isWxWorkEnvironment()
    });
    
    // 🔥 设置错误标记，让HTML显示placeholder而不是破损图标
    file.imageLoadError = true;
    
    // 标记视图需要更新
    this.cdr.markForCheck();
    
    // 在企业微信环境中，尝试使用ObjectURL作为备选方案
    if (this.isWxWorkEnvironment() && this.isImageFile(file.file)) {
      try {
        const objectUrl = URL.createObjectURL(file.file);
        // 清除错误标记
        file.imageLoadError = false;
        file.preview = objectUrl;
        console.log('🔄 使用ObjectURL作为预览:', objectUrl);
        this.cdr.markForCheck();
      } catch (error) {
        console.error('❌ 生成ObjectURL失败:', error);
        file.imageLoadError = true; // 确保显示placeholder
        this.cdr.markForCheck();
      }
    }
  }
  
  /**
   * 检测是否在企业微信环境
   */
  private isWxWorkEnvironment(): boolean {
    const ua = navigator.userAgent.toLowerCase();
    return ua.includes('wxwork') || ua.includes('micromessenger');
  }

  /**
   * 🔥 组件销毁时清理ObjectURL，避免内存泄漏
   */
  ngOnDestroy(): void {
    console.log('🧹 组件销毁，清理ObjectURL资源...');
    this.cleanupObjectURLs();
  }
}