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@@ -0,0 +1,1055 @@
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+import { Component, Input, Output, EventEmitter, OnInit, AfterViewInit, OnChanges, SimpleChanges, ChangeDetectionStrategy, ChangeDetectorRef } from '@angular/core';
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+import { CommonModule } from '@angular/common';
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+import { FormsModule } from '@angular/forms';
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+import { ImageAnalysisService, ImageAnalysisResult } from '../../services/image-analysis.service';
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+
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+/**
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+ * 上传文件接口(增强版)
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+ */
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+export interface UploadFile {
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+ file: File;
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+ id: string;
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+ name: string;
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+ size: number;
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+ type: string;
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+ preview?: string;
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+ status: 'pending' | 'analyzing' | 'uploading' | 'success' | 'error';
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+ progress: number;
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+ error?: string;
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+ analysisResult?: ImageAnalysisResult; // 图片分析结果
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+ suggestedStage?: string; // AI建议的阶段分类
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+ suggestedSpace?: string; // AI建议的空间(暂未实现)
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+ // 用户选择的空间和阶段(可修改)
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+ selectedSpace?: string;
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+ selectedStage?: string;
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+}
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+
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+/**
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+ * 上传结果接口(增强版)
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+ */
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+export interface UploadResult {
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+ files: Array<{
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+ file: UploadFile;
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+ spaceId: string;
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+ spaceName: string;
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+ stageType: string;
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+ stageName: string;
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+ // 新增:提交信息跟踪字段
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+ analysisResult?: ImageAnalysisResult;
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+ submittedAt?: string;
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+ submittedBy?: string;
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+ submittedByName?: string;
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+ deliveryListId?: string;
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+ }>;
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+}
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+
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+/**
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+ * 空间选项接口
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+ */
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+export interface SpaceOption {
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+ id: string;
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+ name: string;
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+}
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+
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+/**
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+ * 阶段选项接口
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+ */
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+export interface StageOption {
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+ id: string;
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+ name: string;
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+}
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+
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+@Component({
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+ selector: 'app-drag-upload-modal',
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+ standalone: true,
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+ imports: [CommonModule, FormsModule],
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+ templateUrl: './drag-upload-modal.component.html',
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+ styleUrls: ['./drag-upload-modal.component.scss'],
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+ changeDetection: ChangeDetectionStrategy.OnPush
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+})
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+export class DragUploadModalComponent implements OnInit, AfterViewInit, OnChanges {
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+ @Input() visible: boolean = false;
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+ @Input() droppedFiles: File[] = [];
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+ @Input() availableSpaces: SpaceOption[] = []; // 可用空间列表
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+ @Input() availableStages: StageOption[] = []; // 可用阶段列表
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+ @Input() targetSpaceId: string = ''; // 拖拽目标空间ID
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+ @Input() targetSpaceName: string = ''; // 拖拽目标空间名称
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+ @Input() targetStageType: string = ''; // 拖拽目标阶段类型
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+ @Input() targetStageName: string = ''; // 拖拽目标阶段名称
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+
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+ @Output() close = new EventEmitter<void>();
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+ @Output() confirm = new EventEmitter<UploadResult>();
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+ @Output() cancel = new EventEmitter<void>();
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+
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+ // 上传文件列表
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+ uploadFiles: UploadFile[] = [];
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+
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+ // 上传状态
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+ isUploading: boolean = false;
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+ uploadProgress: number = 0;
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+ uploadSuccess: boolean = false;
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+ uploadMessage: string = '';
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+
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+ // 图片分析状态
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+ isAnalyzing: boolean = false;
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+ analysisProgress: string = '';
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+ analysisComplete: boolean = false;
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+
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+ // JSON格式预览模式
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+ showJsonPreview: boolean = false;
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+ jsonPreviewData: any[] = [];
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+
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+ constructor(
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+ private cdr: ChangeDetectorRef,
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+ private imageAnalysisService: ImageAnalysisService
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+ ) {}
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+
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+ ngOnInit() {
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+ console.log('🚀 DragUploadModal 初始化', {
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+ visible: this.visible,
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+ droppedFilesCount: this.droppedFiles.length,
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+ targetSpace: this.targetSpaceName,
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+ targetStage: this.targetStageName
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+ });
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+ }
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+
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+ ngOnChanges(changes: SimpleChanges) {
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+ console.log('🔄 ngOnChanges 被调用', {
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+ changes: Object.keys(changes),
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+ visible: this.visible,
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+ droppedFilesCount: this.droppedFiles.length,
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+ currentUploadFilesCount: this.uploadFiles.length
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+ });
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+
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+ // 当弹窗显示或文件发生变化时处理
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+ if (changes['visible'] && this.visible && this.droppedFiles.length > 0) {
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+ console.log('📎 弹窗显示,开始处理文件');
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+ this.processDroppedFiles();
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+ } else if (changes['droppedFiles'] && this.droppedFiles.length > 0 && this.visible) {
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+ console.log('📎 文件变化,开始处理文件');
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+ this.processDroppedFiles();
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+ }
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+ }
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+
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+ ngAfterViewInit() {
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+ // AI分析将在图片预览生成完成后自动开始
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+ // 不需要在这里手动启动
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+ }
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+
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+ /**
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+ * 处理拖拽的文件
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+ */
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+ private async processDroppedFiles() {
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+ console.log('📎 开始处理拖拽文件:', {
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+ droppedFilesCount: this.droppedFiles.length,
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+ files: this.droppedFiles.map(f => ({ name: f.name, type: f.type, size: f.size }))
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+ });
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+
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+ if (this.droppedFiles.length === 0) {
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+ console.warn('⚠️ 没有文件需要处理');
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+ return;
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+ }
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+
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+ this.uploadFiles = this.droppedFiles.map((file, index) => ({
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+ file,
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+ id: `upload_${Date.now()}_${index}`,
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+ name: file.name,
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+ size: file.size,
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+ type: file.type,
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+ status: 'pending' as const,
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+ progress: 0,
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+ // 初始化选择的空间和阶段为空,等待AI分析或用户选择
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+ selectedSpace: '',
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+ selectedStage: ''
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+ }));
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+
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+ console.log('🖼️ 开始生成图片预览...', {
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+ uploadFilesCount: this.uploadFiles.length,
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+ imageFiles: this.uploadFiles.filter(f => this.isImageFile(f.file)).map(f => f.name)
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+ });
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+
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+ // 为图片文件生成预览
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+ const previewPromises = [];
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+ for (const uploadFile of this.uploadFiles) {
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+ if (this.isImageFile(uploadFile.file)) {
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+ console.log(`🖼️ 开始为 ${uploadFile.name} 生成预览`);
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+ previewPromises.push(this.generatePreview(uploadFile));
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+ } else {
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+ console.log(`📄 ${uploadFile.name} 不是图片文件,跳过预览生成`);
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+ }
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+ }
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+
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+ try {
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+ // 等待所有预览生成完成
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+ await Promise.all(previewPromises);
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+ console.log('✅ 所有图片预览生成完成');
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+
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+ // 检查预览生成结果
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+ this.uploadFiles.forEach(file => {
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+ if (this.isImageFile(file.file)) {
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+ console.log(`🖼️ ${file.name} 预览状态:`, {
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+ hasPreview: !!file.preview,
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+ previewLength: file.preview ? file.preview.length : 0
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+ });
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+ }
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+ });
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+ } catch (error) {
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+ console.error('❌ 图片预览生成失败:', error);
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+ }
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+
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+ this.cdr.markForCheck();
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+
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+ // 预览生成完成后,延迟一点开始AI分析
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+ setTimeout(() => {
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+ this.startAutoAnalysis();
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+ }, 300);
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+ }
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+
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+ /**
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+ * 生成图片预览
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+ */
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+ private generatePreview(uploadFile: UploadFile): Promise<void> {
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+ return new Promise((resolve, reject) => {
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+ const reader = new FileReader();
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+ reader.onload = (e) => {
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+ uploadFile.preview = e.target?.result as string;
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+ console.log(`🖼️ 图片预览生成成功: ${uploadFile.name}`);
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+ this.cdr.markForCheck();
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+ resolve();
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+ };
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+ reader.onerror = (error) => {
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+ console.error(`❌ 图片预览生成失败: ${uploadFile.name}`, error);
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+ reject(error);
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+ };
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+ reader.readAsDataURL(uploadFile.file);
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+ });
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+ }
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+
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+ /**
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+ * 检查是否为图片文件
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+ */
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+ isImageFile(file: File): boolean {
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+ return file.type.startsWith('image/');
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+ }
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+
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+ /**
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+ * 自动开始AI分析
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+ */
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+ private async startAutoAnalysis(): Promise<void> {
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+ console.log('🤖 开始自动AI分析...');
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+
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+ // 🔥 使用增强的快速分析,提升用户体验
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+ const useRealAI = false; // 暂时使用快速分析,避免页面阻塞
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+
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+ if (useRealAI) {
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+ // 使用真实AI分析(较慢,会阻塞界面)
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+ await this.startImageAnalysis();
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+ } else {
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+ // 使用增强的快速分析(推荐,用户体验更好)
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+ await this.startEnhancedMockAnalysis();
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+ }
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+
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+ // 分析完成后,自动设置空间和阶段
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+ this.autoSetSpaceAndStage();
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+ }
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+
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+ /**
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+ * 自动设置空间和阶段(增强版,支持AI智能分类)
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+ */
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+ private autoSetSpaceAndStage(): void {
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+ for (const file of this.uploadFiles) {
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+ // 🤖 优先使用AI分析结果进行智能分类
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+ if (file.analysisResult) {
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+ // 使用AI推荐的空间
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+ if (this.targetSpaceId) {
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+ // 如果有指定的目标空间,使用指定空间
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+ file.selectedSpace = this.targetSpaceId;
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+ console.log(`🎯 使用指定空间: ${this.targetSpaceName}`);
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+ } else {
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+ // 否则使用AI推荐的空间
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+ const suggestedSpace = this.inferSpaceFromAnalysis(file.analysisResult);
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+ const spaceOption = this.availableSpaces.find(space =>
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+ space.name === suggestedSpace || space.name.includes(suggestedSpace)
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+ );
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+ if (spaceOption) {
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+ file.selectedSpace = spaceOption.id;
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+ console.log(`🤖 AI推荐空间: ${suggestedSpace}`);
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+ } else if (this.availableSpaces.length > 0) {
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+ file.selectedSpace = this.availableSpaces[0].id;
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+ }
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+ }
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+
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+ // 🎯 使用AI推荐的阶段(这是核心功能)
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+ if (file.suggestedStage) {
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+ file.selectedStage = file.suggestedStage;
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+ console.log(`🤖 AI推荐阶段: ${file.name} -> ${file.suggestedStage} (置信度: ${file.analysisResult.content.confidence}%)`);
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+ }
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+ } else {
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+ // 如果没有AI分析结果,使用默认值
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+ if (this.targetSpaceId) {
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+ file.selectedSpace = this.targetSpaceId;
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+ } else if (this.availableSpaces.length > 0) {
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+ file.selectedSpace = this.availableSpaces[0].id;
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+ }
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+
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+ if (this.targetStageType) {
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+ file.selectedStage = this.targetStageType;
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+ } else {
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+ file.selectedStage = 'white_model'; // 默认白模阶段
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+ }
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+ }
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+ }
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+
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+ console.log('✅ AI智能分类完成');
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+ this.cdr.markForCheck();
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+ }
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+
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+ /**
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+ * 生成JSON格式预览数据
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+ */
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+ private generateJsonPreview(): void {
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+ this.jsonPreviewData = this.uploadFiles.map((file, index) => ({
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+ id: file.id,
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+ fileName: file.name,
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+ fileSize: this.getFileSizeDisplay(file.size),
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+ fileType: this.getFileTypeFromName(file.name),
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+ status: "待分析",
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+ space: "客厅", // 默认空间,后续AI分析会更新
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+ stage: "白模", // 默认阶段,后续AI分析会更新
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+ confidence: 0,
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+ preview: file.preview || null,
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+ analysis: {
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+ quality: "未知",
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+ dimensions: "分析中...",
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+ category: "识别中...",
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+ suggestedStage: "分析中..."
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+ }
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+ }));
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+
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+ this.showJsonPreview = true;
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+ console.log('JSON预览数据:', this.jsonPreviewData);
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+ }
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+
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+ /**
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+ * 根据文件名获取文件类型
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+ */
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+ private getFileTypeFromName(fileName: string): string {
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+ const ext = fileName.toLowerCase().split('.').pop();
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+ switch (ext) {
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+ case 'jpg':
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+ case 'jpeg':
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+ case 'png':
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+ case 'gif':
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+ case 'webp':
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+ return '图片';
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+ case 'pdf':
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+ return 'PDF文档';
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+ case 'dwg':
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+ case 'dxf':
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+ return 'CAD图纸';
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+ case 'skp':
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+ return 'SketchUp模型';
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+ case 'max':
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+ return '3ds Max文件';
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+ default:
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+ return '其他文件';
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+ }
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+ }
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+
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+ /**
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+ * 获取文件大小显示
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+ */
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+ getFileSizeDisplay(size: number): string {
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+ if (size < 1024) return `${size} B`;
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+ if (size < 1024 * 1024) return `${(size / 1024).toFixed(1)} KB`;
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+ return `${(size / (1024 * 1024)).toFixed(1)} MB`;
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+ }
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+
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+ /**
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+ * 获取文件类型图标
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+ */
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+ getFileTypeIcon(file: UploadFile): string {
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+ if (this.isImageFile(file.file)) return '🖼️';
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+ if (file.name.endsWith('.pdf')) return '📄';
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+ if (file.name.endsWith('.dwg') || file.name.endsWith('.dxf')) return '📐';
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+ if (file.name.endsWith('.skp')) return '🏗️';
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+ if (file.name.endsWith('.max')) return '🎨';
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+ return '📁';
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+ }
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+
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+ /**
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+ * 移除文件
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+ */
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+ removeFile(fileId: string) {
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+ this.uploadFiles = this.uploadFiles.filter(f => f.id !== fileId);
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+ this.cdr.markForCheck();
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+ }
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+
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+ /**
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+ * 添加更多文件
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+ */
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+ addMoreFiles(event: Event) {
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+ const input = event.target as HTMLInputElement;
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+ if (input.files) {
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+ const newFiles = Array.from(input.files);
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+ const newUploadFiles = newFiles.map((file, index) => ({
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+ file,
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|
|
+ 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.cancel.emit();
|
|
|
+ }
|
|
|
+
|
|
|
+
|
|
|
+ /**
|
|
|
+ * 关闭弹窗
|
|
|
+ */
|
|
|
+ closeModal(): void {
|
|
|
+ this.close.emit();
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * 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
|
|
|
+ },
|
|
|
+ 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';
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * 🔥 原快速模拟分析(保留作为备用)
|
|
|
+ */
|
|
|
+ private async startMockAnalysis(): 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 = '正在启动AI分析引擎...';
|
|
|
+ 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();
|
|
|
+
|
|
|
+ // 模拟分析过程
|
|
|
+ await new Promise(resolve => setTimeout(resolve, 800 + Math.random() * 1200)); // 0.8-2秒随机延迟
|
|
|
+
|
|
|
+ try {
|
|
|
+ // 使用快速模拟分析
|
|
|
+ const spaceName = this.getSpaceName(this.targetSpaceId) || '客厅';
|
|
|
+ const analysisResult = this.imageAnalysisService.generateMockAnalysisResult(
|
|
|
+ uploadFile.file,
|
|
|
+ spaceName,
|
|
|
+ this.targetStageName
|
|
|
+ );
|
|
|
+
|
|
|
+ // 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} 快速分析完成:`, {
|
|
|
+ suggestedStage: analysisResult.suggestedStage,
|
|
|
+ confidence: analysisResult.content.confidence,
|
|
|
+ quality: analysisResult.quality.level
|
|
|
+ });
|
|
|
+ } 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 = 'AI分析完成,已生成智能建议';
|
|
|
+ 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();
|
|
|
+ }
|
|
|
+ }
|
|
|
+
|
|
|
+ /**
|
|
|
+ * 开始真实AI图片分析(较慢,适用于生产环境)
|
|
|
+ */
|
|
|
+ private async startImageAnalysis(): 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;
|
|
|
+ }
|
|
|
+}
|