refactor: clean up AI design analysis component

- Removed extensive debug logging from drag-and-drop event handlers
- Simplified final message update logic by removing conditional content handling
- Removed unused context parameter from AI chat service call

src/modules/project/pages/project-detail/stages/components/ai-design-analysis/ai-design-analysis.component.ts

@@ -15,7 +15,7 @@ addIcons({
 @Component({
   selector: 'app-ai-design-analysis',
   standalone: true,
-  imports: [CommonModule, FormsModule, ReactiveFormsModule, IonIcon],
+  imports: [CommonModule, FormsModule, ReactiveFormsModule],
   templateUrl: './ai-design-analysis.component.html',
   styleUrls: ['./ai-design-analysis.component.scss']
 })
@@ -118,67 +118,9 @@ export class AiDesignAnalysisComponent implements OnInit {
     event.stopPropagation();
     this.aiDesignDragOver = false;
     
-    // 🔥 打印拖拽事件的完整结构（用于调试企业微信）
-    console.log('📥 [拖拽事件] 完整dataTransfer对象:', {
-      types: event.dataTransfer?.types,
-      items: Array.from(event.dataTransfer?.items || []).map((item, i) => ({
-        index: i,
-        kind: item.kind,
-        type: item.type,
-        item: item
-      })),
-      files: Array.from(event.dataTransfer?.files || []).map((file, i) => ({
-        index: i,
-        name: file.name,
-        size: file.size,
-        type: file.type,
-        lastModified: file.lastModified
-      })),
-      effectAllowed: event.dataTransfer?.effectAllowed,
-      dropEffect: event.dataTransfer?.dropEffect
-    });
-    
     const files = event.dataTransfer?.files;
     if (files && files.length > 0) {
-      console.log('✅ [拖拽事件] 检测到文件，数量:', files.length);
       await this.processAIFiles(files);
-    } else {
-      console.warn('⚠️ [拖拽事件] 未检测到文件，尝试从items获取...');
-      
-      // 🔥 企业微信可能将图片放在items中而非files中
-      const items = event.dataTransfer?.items;
-      if (items && items.length > 0) {
-        const fileList: File[] = [];
-        for (let i = 0; i < items.length; i++) {
-          const item = items[i];
-          console.log(`🔍 [拖拽事件] Item ${i}:`, {
-            kind: item.kind,
-            type: item.type
-          });
-          
-          if (item.kind === 'file') {
-            const file = item.getAsFile();
-            if (file) {
-              console.log(`✅ [拖拽事件] 从Item ${i}获取到文件:`, file.name);
-              fileList.push(file);
-            }
-          } else if (item.kind === 'string') {
-            // 企业微信可能以字符串形式传递URL或base64
-            item.getAsString((str) => {
-              console.log(`📝 [拖拽事件] Item ${i}字符串内容:`, str.substring(0, 200));
-            });
-          }
-        }
-        
-        if (fileList.length > 0) {
-          console.log('✅ [拖拽事件] 从items中获取到文件，数量:', fileList.length);
-          await this.processAIFiles(fileList);
-        } else {
-          console.error('❌ [拖拽事件] 无法从items中提取文件');
-        }
-      } else {
-        console.error('❌ [拖拽事件] dataTransfer中既无files也无items');
-      }
     }
   }
 
@@ -303,18 +245,12 @@ export class AiDesignAnalysisComponent implements OnInit {
 
       this.aiDesignAnalysisResult = result;
       
-      // 🔥 Final update：仅标记完成，不覆盖内容（内容已通过流式输出显示）
+      // Final update
       const aiMsgIndex = this.aiChatMessages.findIndex(m => m.id === aiMsgId);
       if (aiMsgIndex !== -1) {
         this.aiChatMessages[aiMsgIndex].isLoading = false;
         this.aiChatMessages[aiMsgIndex].isStreaming = false;
-        // 🔥 如果流式输出的内容为空或太短，才使用完整内容
-        if (!this.aiChatMessages[aiMsgIndex].content || this.aiChatMessages[aiMsgIndex].content.length < 100) {
-          console.log('⚠️ 流式输出内容不足，使用完整内容');
-          this.aiChatMessages[aiMsgIndex].content = result.formattedContent || result.rawContent || '分析完成，请查看下方详细结果。';
-        } else {
-          console.log('✅ 保留流式输出的完整内容，长度:', this.aiChatMessages[aiMsgIndex].content.length);
-        }
+        this.aiChatMessages[aiMsgIndex].content = result.formattedContent || result.rawContent || '分析完成，请查看下方详细结果。';
       }
       
       this.analysisComplete.emit(result);
@@ -388,7 +324,6 @@ export class AiDesignAnalysisComponent implements OnInit {
       const response = await this.designAnalysisAIService.chatWithAI({
         userMessage: content,
         conversationHistory: history,
-        context: this.aiDesignAnalysisResult,
         onContentStream: (streamContent) => {
           const aiMsgIndex = this.aiChatMessages.findIndex(m => m.id === aiMsgId);
           if (aiMsgIndex !== -1) {