feat: 范式分析结果改为流式输出

- 修改API analyzeContent方法使用fetch实现流式请求
- 更新AnalysisPanel实时处理流式响应
- 分析过程中实时显示结果，提升用户体验

src/api/deepseek.js

@@ -39,27 +39,34 @@ class DeepSeekAPI {
   }
 
   async analyzeContent(text) {
-    const response = await this.client.post('', {
+    const response = await fetch(this.baseURL, {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+        'Authorization': `Bearer ${this.apiKey}`
+      },
+      body: JSON.stringify({
         model: 'deepseek-chat',
         messages: [
           {
             role: 'system',
-          content: '你是一个专业的写作分析师，擅长分析文章的写作范式、结构和特点。请从以下几个方面分析文章：1. 主要写作范式类型 2. 文章结构特点 3. 语言风格特征 4. 目标读者群体 5. 写作技巧总结。请用简洁明了的语言回答。'
+            content: '你是一个专业的写作分析师，擅长分析文章的写作范式、结构和特点。请从以下几个方面分析文章：1. 主要写作范式类型 2. 文章结构特点 3. 语言风格特征 4. 目标读者群体 5. 写作技巧总结。请用简洁明了的语言回答，使用Markdown格式。'
           },
           {
             role: 'user',
             content: `请分析以下文章的写作范式：\n\n${text}`
           }
         ],
-      stream: false,
+        stream: true,
         temperature: 0.3
-    }, {
+      })
-      headers: {
-        'Authorization': `Bearer ${this.apiKey}`
-      }
     })
 
-    return response.data
+    if (!response.ok) {
+      throw new Error(`API请求失败: ${response.status}`)
+    }
+
+    return response
   }
 }
 

src/components/AnalysisPanel.vue

@@ -209,7 +209,12 @@ const analyzeArticle = async () => {
   }
 
   isAnalyzing.value = true
-  appStore.analysisResult = null
+  appStore.analysisResult = {
+    paradigm: '分析中...',
+    paradigmType: null,
+    analysis: '',
+    timestamp: new Date()
+  }
 
   try {
     const api = new DeepSeekAPI({ 
@@ -217,21 +222,55 @@ const analyzeArticle = async () => {
       key: appStore.apiKey 
     })
     
-    const result = await api.analyzeContent(analysisText.value)
+    const response = await api.analyzeContent(analysisText.value)
+    const reader = response.body.getReader()
+    const decoder = new TextDecoder()
     
-    // 解析分析结果，提取范式类型
+    let fullContent = ''
-    const analysisContent = result.choices[0].message.content
-    const detectedParadigm = detectParadigm(analysisContent)
     
+    while (true) {
+      const { done, value } = await reader.read()
+      if (done) break
+      
+      const chunk = decoder.decode(value)
+      const lines = chunk.split('\n').filter(line => line.trim())
+      
+      for (const line of lines) {
+        if (line.startsWith('data: ')) {
+          const data = line.slice(6)
+          if (data === '[DONE]') continue
+          
+          try {
+            const parsed = JSON.parse(data)
+            const content = parsed.choices?.[0]?.delta?.content || ''
+            if (content) {
+              fullContent += content
+              // 实时更新分析结果
+              appStore.analysisResult = {
+                paradigm: '分析中...',
+                paradigmType: null,
+                analysis: fullContent,
+                timestamp: new Date()
+              }
+            }
+          } catch (e) {
+            // 忽略解析错误
+          }
+        }
+      }
+    }
+    
+    // 分析完成后检测范式类型
+    const detectedParadigm = detectParadigm(fullContent)
     appStore.analysisResult = {
       paradigm: detectedParadigm.name,
       paradigmType: detectedParadigm.type,
-      analysis: analysisContent,
+      analysis: fullContent,
       timestamp: new Date()
     }
     
     // 添加到历史记录
-    addToHistory(detectedParadigm.name, analysisText.value, analysisContent)
+    addToHistory(detectedParadigm.name, analysisText.value, fullContent)
   } catch (error) {
     appStore.analysisResult = {
       error: true,