feat: 实现分镜视频功能和提示词优化功能

主要功能： 1. 分镜视频创作功能 - 支持文生图生成分镜图 - 支持直接上传分镜图生成视频 - 两步式流程：生成分镜图 -> 生成视频 - 完整的任务管理和状态轮询 2. 提示词优化功能 - 为所有创作页面添加一键优化按钮 - 支持三种优化类型：文生视频、图生视频、分镜视频 - 使用GPT-4o-mini进行智能优化 - 完善的错误处理和用户体验技术改进： - 使用@Async和@Transactional优化异步处理 - 增强错误处理和超时控制 - 改进前端状态管理和用户体验 - 添加完整的代码审查文档
2025-10-29 18:25:26 +08:00
parent 6f72386523
commit 7964d87954
18 changed files with 1939 additions and 102 deletions
--- a/demo/frontend/src/views/CleanupTest.vue
+++ b/demo/frontend/src/views/CleanupTest.vue
@@ -127,6 +127,8 @@
 <script setup>
 import { ref, reactive } from 'vue'
 import { ElMessage } from 'element-plus'
+import cleanupApi from '@/api/cleanup'
+import api from '@/api/request'

 // 响应式数据
 const loadingStats = ref(false)
@@ -167,18 +169,9 @@ const testGetStats = async () => {
  statsError.value = null
  
  try {
-    const response = await fetch('http://localhost:8080/api/cleanup/cleanup-stats', {
-      headers: {
-        'Content-Type': 'application/json',
-        ...getAuthHeaders()
-      }
-    })
-    if (response.ok) {
-      statsResult.value = await response.json()
-      ElMessage.success('获取统计信息成功')
-    } else {
-      statsError.value = `HTTP ${response.status}: ${response.statusText}`
-    }
+    const response = await cleanupApi.getCleanupStats()
+    statsResult.value = response.data
+    ElMessage.success('获取统计信息成功')
  } catch (error) {
    statsError.value = error.message
    ElMessage.error('获取统计信息失败')
@@ -193,20 +186,9 @@ const testFullCleanup = async () => {
  cleanupError.value = null
  
  try {
-    const response = await fetch('http://localhost:8080/api/cleanup/full-cleanup', {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-        ...getAuthHeaders()
-      }
-    })
-    
-    if (response.ok) {
-      cleanupResult.value = await response.json()
-      ElMessage.success('完整清理执行成功')
-    } else {
-      cleanupError.value = `HTTP ${response.status}: ${response.statusText}`
-    }
+    const response = await cleanupApi.performFullCleanup()
+    cleanupResult.value = response.data
+    ElMessage.success('完整清理执行成功')
  } catch (error) {
    cleanupError.value = error.message
    ElMessage.error('执行完整清理失败')
@@ -224,20 +206,9 @@ const testUserCleanup = async () => {
  userCleanupError.value = null
  
  try {
-    const response = await fetch(`/api/cleanup/user-tasks/${userCleanupForm.username}`, {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-        ...getAuthHeaders()
-      }
-    })
-    
-    if (response.ok) {
-      userCleanupResult.value = await response.json()
-      ElMessage.success(`用户 ${userCleanupForm.username} 的任务清理完成`)
-    } else {
-      userCleanupError.value = `HTTP ${response.status}: ${response.statusText}`
-    }
+    const response = await cleanupApi.cleanupUserTasks(userCleanupForm.username)
+    userCleanupResult.value = response.data
+    ElMessage.success(`用户 ${userCleanupForm.username} 的任务清理完成`)
  } catch (error) {
    userCleanupError.value = error.message
    ElMessage.error('清理用户任务失败')
@@ -252,13 +223,9 @@ const testQueueStatus = async () => {
  queueError.value = null
  
  try {
-    const response = await fetch('http://localhost:8080/api/diagnostic/queue-status')
-    if (response.ok) {
-      queueResult.value = await response.json()
-      ElMessage.success('获取队列状态成功')
-    } else {
-      queueError.value = `HTTP ${response.status}: ${response.statusText}`
-    }
+    const response = await api.get('/diagnostic/queue-status')
+    queueResult.value = response.data
+    ElMessage.success('获取队列状态成功')
  } catch (error) {
    queueError.value = error.message
    ElMessage.error('获取队列状态失败')
--- a/demo/frontend/src/views/ImageToVideoCreate.vue
+++ b/demo/frontend/src/views/ImageToVideoCreate.vue
@@ -69,8 +69,8 @@
            rows="6"
          ></textarea>
          <div class="optimize-btn">
-            <button class="optimize-button">
-              ✨ 一键优化
+            <button class="optimize-button" @click="optimizePromptHandler" :disabled="!inputText.trim() || optimizingPrompt">
+              ✨ {{ optimizingPrompt ? '优化中...' : '一键优化' }}
            </button>
          </div>
        </div>
@@ -277,6 +277,7 @@ import { ElMessage, ElLoading } from 'element-plus'
 import { useUserStore } from '@/stores/user'
 import { User, VideoCamera, Star, Setting, SwitchButton } from '@element-plus/icons-vue'
 import { imageToVideoApi } from '@/api/imageToVideo'
+import { optimizePrompt } from '@/api/promptOptimizer'

 const router = useRouter()
 const userStore = useUserStore()
@@ -301,6 +302,7 @@ const taskStatus = ref('')
 const stopPolling = ref(null)
 const showInProgress = ref(false)
 const watermarkOption = ref('without')
+const optimizingPrompt = ref(false) // 优化提示词状态

 // 用户菜单相关
 const showUserMenu = ref(false)
@@ -602,6 +604,72 @@ const formatDate = (dateString) => {
  return `${year}年${month}月${day}日 ${hours}:${minutes}`
 }

+// 优化提示词
+const optimizePromptHandler = async () => {
+  if (!inputText.value.trim()) {
+    ElMessage.warning('请输入提示词')
+    return
+  }
+  
+  // 长度检查
+  if (inputText.value.length > 2000) {
+    ElMessage.warning('提示词过长，请控制在2000字符以内')
+    return
+  }
+  
+  try {
+    optimizingPrompt.value = true
+    const loading = ElLoading.service({
+      lock: false,
+      text: '正在优化提示词，请稍候...',
+      background: 'rgba(0, 0, 0, 0.3)'
+    })
+    
+    const response = await optimizePrompt(inputText.value.trim(), 'image-to-video')
+    
+    loading.close()
+    
+    if (response.data && response.data.success) {
+      const data = response.data.data
+      const optimized = data.optimizedPrompt
+      
+      // 检查是否真正优化了
+      if (data.optimized && optimized !== inputText.value.trim()) {
+        inputText.value = optimized
+        ElMessage.success('提示词优化成功！')
+      } else {
+        ElMessage.warning('提示词已优化，但可能无明显变化')
+      }
+    } else {
+      ElMessage.error(response.data?.message || '优化失败')
+    }
+  } catch (error) {
+    console.error('优化提示词失败:', error)
+    
+    let errorMessage = '优化提示词失败'
+    if (error.response) {
+      const status = error.response.status
+      if (status === 400) {
+        errorMessage = error.response.data?.message || '请求参数错误'
+      } else if (status === 408 || error.code === 'ECONNABORTED') {
+        errorMessage = '请求超时，请稍后重试'
+      } else if (status >= 500) {
+        errorMessage = '服务器错误，请稍后重试'
+      } else {
+        errorMessage = error.response.data?.message || '优化失败'
+      }
+    } else if (error.request) {
+      errorMessage = '网络错误，请检查网络连接'
+    } else {
+      errorMessage = error.message || '优化失败'
+    }
+    
+    ElMessage.error(errorMessage)
+  } finally {
+    optimizingPrompt.value = false
+  }
+}
+
 // 创建同款
 const createSimilar = () => {
  // 保持当前设置，重新生成
--- a/demo/frontend/src/views/StoryboardVideo.vue
+++ b/demo/frontend/src/views/StoryboardVideo.vue
@@ -25,7 +25,7 @@
          <el-icon><Picture /></el-icon>
          <span>图生视频</span>
        </div>
-        <div class="nav-item active storyboard-item">
+        <div class="nav-item storyboard-item" @click="goToStoryboardVideoCreate">
          <el-icon><Film /></el-icon>
          <span>分镜视频</span>
          <el-tag size="small" type="primary" class="sora-tag">Sora2.0</el-tag>
@@ -208,6 +208,10 @@ const goToImageToVideo = () => {
  router.push('/image-to-video/create')
 }

+const goToStoryboardVideoCreate = () => {
+  router.push('/storyboard-video/create')
+}
+
 const goToCreate = (work) => {
  // 跳转到分镜视频创作页面
  router.push('/storyboard-video/create')
--- a/demo/frontend/src/views/StoryboardVideoCreate.vue
+++ b/demo/frontend/src/views/StoryboardVideoCreate.vue
@@ -35,14 +35,26 @@

        <!-- 分镜步骤标签 -->
        <div class="storyboard-steps">
-          <div class="step active">生成分镜图</div>
-          <div class="step">生成视频</div>
+          <div 
+            class="step" 
+            :class="{ active: currentStep === 'generate' }"
+            @click="switchToGenerateStep"
+          >
+            生成分镜图
+          </div>
+          <div 
+            class="step" 
+            :class="{ active: currentStep === 'video', disabled: !generatedImageUrl && !uploadedImage }"
+            @click="switchToVideoStep"
+          >
+            生成视频
+          </div>
        </div>

-        <!-- 生成分镜图区域 -->
-        <div class="storyboard-section">
+        <!-- 生成分镜图区域 - 只在第一步显示 -->
+        <div class="storyboard-section" v-if="currentStep === 'generate'">
          <div class="image-upload-btn" @click="uploadImage">
-            <span>+ 图片 (可选)</span>
+            <span>+ 上传分镜图 (可直接生成视频)</span>
          </div>
          
          <!-- 已上传的图片预览 -->
@@ -59,13 +71,21 @@
              rows="6"
            ></textarea>
            <div class="optimize-btn">
-              <button class="optimize-button">
-                ✨ 一键优化
+              <button class="optimize-button" @click="optimizePromptHandler" :disabled="!inputText.trim() || optimizingPrompt">
+                ✨ {{ optimizingPrompt ? '优化中...' : '一键优化' }}
              </button>
            </div>
          </div>
        </div>

+        <!-- 生成视频区域 - 只在第二步显示 -->
+        <div class="storyboard-section" v-if="currentStep === 'video'">
+          <div class="generated-image-preview">
+            <img v-if="generatedImageUrl || uploadedImage" :src="generatedImageUrl || uploadedImage" alt="分镜图" />
+            <div v-else class="placeholder-text">暂无分镜图</div>
+          </div>
+        </div>
+
        <!-- 视频设置 -->
        <div class="video-settings">
          <div class="setting-item">
@@ -90,8 +110,12 @@

        <!-- 生成按钮 -->
        <div class="generate-section">
-          <button class="generate-btn" @click="startGenerate">
-            开始生成
+          <button 
+            class="generate-btn" 
+            @click="handleGenerateClick"
+            :disabled="inProgress || (!uploadedImage && !inputText.trim() && currentStep === 'generate') || (currentStep === 'video' && !generatedImageUrl && !uploadedImage)"
+          >
+            {{ getButtonText() }}
          </button>
        </div>
      </div>
@@ -105,7 +129,17 @@
          </div>
          
          <div class="preview-content">
-            <div class="preview-placeholder">
+            <!-- 显示上传的图片或生成的图片 -->
+            <div v-if="uploadedImage || generatedImageUrl" class="preview-image">
+              <img :src="uploadedImage || generatedImageUrl" alt="分镜图" />
+            </div>
+            <!-- 显示加载状态 -->
+            <div v-else-if="inProgress" class="preview-loading">
+              <div class="loading-spinner"></div>
+              <div class="loading-text">{{ currentStep === 'generate' ? '正在生成分镜图，请稍候...' : '正在生成视频，请稍候...' }}</div>
+            </div>
+            <!-- 显示占位符 -->
+            <div v-else class="preview-placeholder">
              <div class="placeholder-text">开始创作您的第一个作品吧!</div>
            </div>
          </div>
@@ -116,8 +150,12 @@
 </template>

 <script setup>
-import { ref } from 'vue'
+import { ref, onBeforeUnmount } from 'vue'
 import { useRouter } from 'vue-router'
+import { ElMessage } from 'element-plus'
+import { createStoryboardTask, getStoryboardTask } from '@/api/storyboardVideo'
+import { imageToVideoApi } from '@/api/imageToVideo'
+import { optimizePrompt } from '@/api/promptOptimizer'

 const router = useRouter()

@@ -126,9 +164,14 @@ const inputText = ref('')
 const aspectRatio = ref('16:9')
 const hdMode = ref(false)
 const inProgress = ref(false)
+const currentStep = ref('generate') // 'generate' 或 'video'

 // 图片上传
 const uploadedImage = ref('')
+const generatedImageUrl = ref('')
+const taskId = ref('')
+const pollIntervalId = ref(null) // 保存轮询定时器ID
+const optimizingPrompt = ref(false) // 优化提示词状态

 // 导航函数
 const goBack = () => {
@@ -143,6 +186,70 @@ const goToImageToVideo = () => {
  router.push('/image-to-video/create')
 }

+// 切换到生成分镜图步骤
+const switchToGenerateStep = () => {
+  currentStep.value = 'generate'
+}
+
+// 切换到视频步骤
+const switchToVideoStep = () => {
+  // 如果有上传的图片或生成的分镜图，可以切换
+  if (uploadedImage.value || generatedImageUrl.value) {
+    currentStep.value = 'video'
+  } else {
+    ElMessage.warning('请先上传分镜图或生成分镜图')
+  }
+}
+
+// 获取按钮文本
+const getButtonText = () => {
+  if (currentStep.value === 'video') {
+    return '生成视频'
+  }
+  // 第一步：根据是否有图片和提示词显示不同文本
+  if (uploadedImage.value) {
+    return '使用上传图片生成视频'
+  }
+  if (inputText.value.trim()) {
+    return '开始生成分镜图'
+  }
+  return '开始生成'
+}
+
+// 处理生成按钮点击
+const handleGenerateClick = () => {
+  console.log('handleGenerateClick 被调用，当前步骤:', currentStep.value)
+  
+  // 如果已经切换到视频步骤，直接生成视频
+  if (currentStep.value === 'video') {
+    startVideoGenerate()
+    return
+  }
+  
+  // 第一步的逻辑：
+  // 1. 如果上传了图片，直接使用上传的图片生成视频
+  if (uploadedImage.value) {
+    // 使用上传的图片作为分镜图
+    generatedImageUrl.value = uploadedImage.value
+    // 切换到视频步骤并生成视频
+    currentStep.value = 'video'
+    // 延迟一点，让UI更新
+    setTimeout(() => {
+      startVideoGenerate()
+    }, 100)
+    return
+  }
+  
+  // 2. 如果只有提示词，生成分镜图
+  if (inputText.value.trim()) {
+    startGenerate()
+    return
+  }
+  
+  // 3. 如果都没有，提示用户
+  ElMessage.warning('请上传分镜图或输入提示词')
+}
+
 // 图片上传处理
 const uploadImage = () => {
  const input = document.createElement('input')
@@ -154,6 +261,10 @@ const uploadImage = () => {
      const reader = new FileReader()
      reader.onload = (e) => {
        uploadedImage.value = e.target.result
+        // 上传图片后，自动使用上传的图片作为分镜图
+        generatedImageUrl.value = e.target.result
+        // 如果有上传的图片，可以自动切换到视频步骤（可选）
+        // currentStep.value = 'video'
      }
      reader.readAsDataURL(file)
    }
@@ -162,24 +273,327 @@ const uploadImage = () => {
 }

 const removeImage = () => {
+  // 保存上传图片的值，用于判断是否与生成的图片相同
+  const wasSameImage = uploadedImage.value && generatedImageUrl.value === uploadedImage.value
  uploadedImage.value = ''
+  // 如果上传的图片被删除，且它被用作生成的分镜图，也清除生成的图片URL
+  if (wasSameImage) {
+    generatedImageUrl.value = ''
+  }
 }

-const startGenerate = () => {
+// 优化提示词
+const optimizePromptHandler = async () => {
  if (!inputText.value.trim()) {
-    alert('请输入描述文字')
+    ElMessage.warning('请输入提示词')
    return
  }
  
-  inProgress.value = true
-  alert('开始生成分镜图...')
+  // 长度检查
+  if (inputText.value.length > 2000) {
+    ElMessage.warning('提示词过长，请控制在2000字符以内')
+    return
+  }
  
-  // 调用真实生成API
-  setTimeout(() => {
-    inProgress.value = false
-    alert('分镜图生成完成！')
-  }, 3000)
+  try {
+    optimizingPrompt.value = true
+    const loading = ElLoading.service({
+      lock: false,
+      text: '正在优化提示词，请稍候...',
+      background: 'rgba(0, 0, 0, 0.3)'
+    })
+    
+    const response = await optimizePrompt(inputText.value.trim(), 'storyboard')
+    
+    loading.close()
+    
+    if (response.data && response.data.success) {
+      const data = response.data.data
+      const optimized = data.optimizedPrompt
+      
+      // 检查是否真正优化了
+      if (data.optimized && optimized !== inputText.value.trim()) {
+        inputText.value = optimized
+        ElMessage.success('提示词优化成功！')
+      } else {
+        ElMessage.warning('提示词已优化，但可能无明显变化')
+      }
+    } else {
+      ElMessage.error(response.data?.message || '优化失败')
+    }
+  } catch (error) {
+    console.error('优化提示词失败:', error)
+    
+    let errorMessage = '优化提示词失败'
+    if (error.response) {
+      const status = error.response.status
+      if (status === 400) {
+        errorMessage = error.response.data?.message || '请求参数错误'
+      } else if (status === 408 || error.code === 'ECONNABORTED') {
+        errorMessage = '请求超时，请稍后重试'
+      } else if (status >= 500) {
+        errorMessage = '服务器错误，请稍后重试'
+      } else {
+        errorMessage = error.response.data?.message || '优化失败'
+      }
+    } else if (error.request) {
+      errorMessage = '网络错误，请检查网络连接'
+    } else {
+      errorMessage = error.message || '优化失败'
+    }
+    
+    ElMessage.error(errorMessage)
+  } finally {
+    optimizingPrompt.value = false
+  }
 }
+
+// 开始生成分镜图
+const startGenerate = async () => {
+  console.log('startGenerate 被调用')
+  
+  if (!inputText.value.trim()) {
+    ElMessage.warning('请输入描述文字')
+    return
+  }
+  
+  try {
+    console.log('开始创建任务，参数:', {
+      prompt: inputText.value,
+      aspectRatio: aspectRatio.value,
+      hdMode: hdMode.value,
+      imageUrl: uploadedImage.value || null
+    })
+    
+    inProgress.value = true
+    ElMessage.info('开始生成分镜图...')
+    
+    // 调用API创建任务
+    const response = await createStoryboardTask({
+      prompt: inputText.value,
+      aspectRatio: aspectRatio.value,
+      hdMode: hdMode.value,
+      imageUrl: uploadedImage.value || null
+    })
+    
+    console.log('API响应:', response)
+    
+    if (response.data && response.data.success) {
+      ElMessage.success('分镜图任务创建成功！')
+      taskId.value = response.data.data.taskId
+      console.log('Task created:', response.data.data)
+      
+      // 开始轮询任务状态，获取生成的图片
+      // inProgress 将在轮询完成时设置为 false
+      pollTaskStatus(response.data.data.taskId)
+    } else {
+      console.error('创建任务失败，响应:', response.data)
+      ElMessage.error(response.data?.message || '创建任务失败')
+      inProgress.value = false
+    }
+  } catch (error) {
+    console.error('生成分镜图失败，完整错误:', error)
+    console.error('错误详情:', {
+      message: error.message,
+      response: error.response,
+      stack: error.stack
+    })
+    ElMessage.error('生成分镜图失败: ' + (error.response?.data?.message || error.message))
+    inProgress.value = false
+  }
+}
+
+// 轮询任务状态
+const pollTaskStatus = async (taskId) => {
+  // 清除之前的轮询（如果存在）
+  if (pollIntervalId.value) {
+    clearInterval(pollIntervalId.value)
+    pollIntervalId.value = null
+  }
+  
+  const maxAttempts = 30
+  let attempts = 0
+  
+  const poll = setInterval(async () => {
+    // 先检查是否超过最大尝试次数
+    if (attempts >= maxAttempts) {
+      clearInterval(poll)
+      pollIntervalId.value = null
+      inProgress.value = false
+      ElMessage.warning('任务超时，请稍后查看')
+      return
+    }
+    
+    attempts++
+    
+    try {
+      // 调用获取任务详情的API
+      const response = await getStoryboardTask(taskId)
+      console.log('轮询任务状态:', response.data)
+      
+      if (response.data.success && response.data.data) {
+        const task = response.data.data
+        console.log('任务状态:', task.status, '图片URL:', task.resultUrl)
+        
+        if (task.status === 'COMPLETED' && task.resultUrl) {
+          clearInterval(poll)
+          pollIntervalId.value = null
+          console.log('分镜图生成完成，图片URL:', task.resultUrl)
+          generatedImageUrl.value = task.resultUrl
+          inProgress.value = false
+          ElMessage.success('分镜图生成完成！')
+          // 自动跳转到第二步
+          setTimeout(() => {
+            currentStep.value = 'video'
+          }, 500)
+          return
+        } else if (task.status === 'FAILED') {
+          clearInterval(poll)
+          pollIntervalId.value = null
+          inProgress.value = false
+          ElMessage.error('分镜图生成失败: ' + (task.errorMessage || '未知错误'))
+          return
+        }
+      }
+    } catch (error) {
+      console.error('轮询任务状态失败:', error)
+      // 错误时继续轮询，直到达到最大次数
+    }
+  }, 2000)
+  
+  // 保存轮询ID
+  pollIntervalId.value = poll
+}
+
+// 将图片URL转换为File对象
+const urlToFile = async (url, filename) => {
+  try {
+    let blob
+    
+    // 如果是base64格式
+    if (url.startsWith('data:image')) {
+      const response = await fetch(url)
+      if (!response.ok) {
+        throw new Error(`HTTP错误: ${response.status}`)
+      }
+      blob = await response.blob()
+      return new File([blob], filename, { type: blob.type })
+    } else {
+      // 如果是普通URL（可能跨域）
+      try {
+        const response = await fetch(url)
+        if (!response.ok) {
+          throw new Error(`HTTP错误: ${response.status}`)
+        }
+        blob = await response.blob()
+        return new File([blob], filename, { type: blob.type || 'image/jpeg' })
+      } catch (fetchError) {
+        // 如果fetch失败（可能是CORS），尝试通过代理或提示用户
+        console.error('直接获取图片失败，可能是CORS问题:', fetchError)
+        throw new Error('无法加载图片，请确保图片URL可以访问')
+      }
+    }
+  } catch (error) {
+    console.error('转换图片URL失败:', error)
+    throw new Error('无法加载图片: ' + (error.message || '未知错误'))
+  }
+}
+
+// 生成视频
+const startVideoGenerate = async () => {
+  console.log('startVideoGenerate 被调用')
+  
+  // 优先使用上传的图片，其次使用生成的分镜图
+  const imageUrl = uploadedImage.value || generatedImageUrl.value
+  
+  if (!imageUrl) {
+    ElMessage.warning('请先上传分镜图或生成分镜图')
+    return
+  }
+  
+  // 提示词可选，如果没有则使用默认提示词或空字符串
+  // 图生视频API可能需要提示词，使用上传图片时的提示词或默认提示词
+  let prompt = inputText.value.trim()
+  if (!prompt && uploadedImage.value) {
+    // 如果用户只上传了图片没有输入提示词，可以使用空字符串或默认提示词
+    prompt = '根据图片生成视频' // 默认提示词
+  }
+  
+  try {
+    inProgress.value = true
+    ElMessage.info('开始生成视频...')
+    
+    // 将图片URL转换为File对象
+    console.log('转换图片URL:', imageUrl)
+    let imageFile
+    
+    // 如果是base64格式（上传的图片），直接转换
+    if (imageUrl.startsWith('data:image')) {
+      const base64Data = imageUrl.split(',')[1]
+      const byteCharacters = atob(base64Data)
+      const byteNumbers = new Array(byteCharacters.length)
+      for (let i = 0; i < byteCharacters.length; i++) {
+        byteNumbers[i] = byteCharacters.charCodeAt(i)
+      }
+      const byteArray = new Uint8Array(byteNumbers)
+      const blob = new Blob([byteArray], { type: 'image/jpeg' })
+      imageFile = new File([blob], 'storyboard-image.jpg', { type: 'image/jpeg' })
+    } else {
+      // 如果是URL，使用fetch转换
+      imageFile = await urlToFile(imageUrl, 'storyboard-image.jpg')
+    }
+    
+    // 调用图生视频API
+    console.log('调用图生视频API，参数:', {
+      prompt: prompt,
+      aspectRatio: aspectRatio.value,
+      hdMode: hdMode.value,
+      duration: 5,
+      firstFrame: imageFile
+    })
+    
+    const response = await imageToVideoApi.createTask({
+      firstFrame: imageFile,
+      prompt: prompt,
+      aspectRatio: aspectRatio.value,
+      duration: 5, // 默认5秒
+      hdMode: hdMode.value
+    })
+    
+    console.log('图生视频API响应:', response)
+    
+    if (response.data && response.data.success) {
+      const taskId = response.data.data.taskId
+      ElMessage.success('视频任务创建成功！')
+      console.log('视频任务创建成功，任务ID:', taskId)
+      
+      // 跳转到图生视频结果页面或者在这里显示结果
+      // 可以轮询任务状态或跳转到任务详情页
+      router.push(`/image-to-video/detail/${taskId}`)
+    } else {
+      console.error('创建视频任务失败，响应:', response.data)
+      ElMessage.error(response.data?.message || '创建视频任务失败')
+      inProgress.value = false
+    }
+  } catch (error) {
+    console.error('生成视频失败，完整错误:', error)
+    console.error('错误详情:', {
+      message: error.message,
+      response: error.response,
+      stack: error.stack
+    })
+    ElMessage.error('生成视频失败: ' + (error.response?.data?.message || error.message))
+    inProgress.value = false
+  }
+}
+
+// 组件卸载时清理轮询
+onBeforeUnmount(() => {
+  if (pollIntervalId.value) {
+    clearInterval(pollIntervalId.value)
+    pollIntervalId.value = null
+  }
+})
 </script>

 <style scoped>
@@ -381,11 +795,44 @@ const startGenerate = () => {
  box-shadow: 0 2px 8px rgba(59, 130, 246, 0.3);
 }

-.step:hover:not(.active) {
+.step:hover:not(.active):not(.disabled) {
  background: #2a2a2a;
  color: #fff;
 }

+.step.disabled {
+  opacity: 0.5;
+  cursor: not-allowed;
+}
+
+.step.disabled:hover {
+  background: transparent;
+}
+
+/* 生成的图片预览 */
+.generated-image-preview {
+  width: 100%;
+  aspect-ratio: 16/9;
+  background: #0a0a0a;
+  border: 2px solid #2a2a2a;
+  border-radius: 12px;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  overflow: hidden;
+}
+
+.generated-image-preview img {
+  width: 100%;
+  height: 100%;
+  object-fit: cover;
+}
+
+.generated-image-preview .placeholder-text {
+  color: #6b7280;
+  font-size: 14px;
+}
+
 /* 分镜图区域 */
 .storyboard-section {
  display: flex;
@@ -658,6 +1105,55 @@ const startGenerate = () => {
  line-height: 1.5;
 }

+/* 预览图片 */
+.preview-image {
+  width: 100%;
+  height: 100%;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  padding: 20px;
+}
+
+.preview-image img {
+  max-width: 100%;
+  max-height: 100%;
+  object-fit: contain;
+  border-radius: 8px;
+  box-shadow: 0 4px 20px rgba(0, 0, 0, 0.3);
+}
+
+/* 加载状态 */
+.preview-loading {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  gap: 20px;
+  padding: 40px;
+}
+
+.loading-spinner {
+  width: 48px;
+  height: 48px;
+  border: 4px solid #2a2a2a;
+  border-top-color: #3b82f6;
+  border-radius: 50%;
+  animation: spin 1s linear infinite;
+}
+
+@keyframes spin {
+  to {
+    transform: rotate(360deg);
+  }
+}
+
+.loading-text {
+  font-size: 16px;
+  color: #9ca3af;
+  font-weight: 500;
+}
+
 /* 响应式设计 */
@media (max-width: 1200px) {
  .main-content {
--- a/demo/frontend/src/views/SystemSettings.vue
+++ b/demo/frontend/src/views/SystemSettings.vue
@@ -387,6 +387,7 @@ import {
  Delete,
  Refresh
 } from '@element-plus/icons-vue'
+import cleanupApi from '@/api/cleanup'

 const router = useRouter()

@@ -507,18 +508,9 @@ const getAuthHeaders = () => {
 const refreshStats = async () => {
  loadingStats.value = true
  try {
-    const response = await fetch('http://localhost:8080/api/cleanup/cleanup-stats', {
-      headers: {
-        'Content-Type': 'application/json',
-        ...getAuthHeaders()
-      }
-    })
-    if (response.ok) {
-      cleanupStats.value = await response.json()
-      ElMessage.success('统计信息刷新成功')
-    } else {
-      ElMessage.error('获取统计信息失败')
-    }
+    const response = await cleanupApi.getCleanupStats()
+    cleanupStats.value = response.data
+    ElMessage.success('统计信息刷新成功')
  } catch (error) {
    console.error('获取统计信息失败:', error)
    ElMessage.error('获取统计信息失败')
@@ -530,23 +522,11 @@ const refreshStats = async () => {
 const performFullCleanup = async () => {
  loadingCleanup.value = true
  try {
-    const response = await fetch('http://localhost:8080/api/cleanup/full-cleanup', {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-        ...getAuthHeaders()
-      }
-    })
-    
-    if (response.ok) {
-      const result = await response.json()
-      ElMessage.success('完整清理执行成功')
-      console.log('清理结果:', result)
-      // 刷新统计信息
-      await refreshStats()
-    } else {
-      ElMessage.error('执行完整清理失败')
-    }
+    const response = await cleanupApi.performFullCleanup()
+    ElMessage.success('完整清理执行成功')
+    console.log('清理结果:', response.data)
+    // 刷新统计信息
+    await refreshStats()
  } catch (error) {
    console.error('执行完整清理失败:', error)
    ElMessage.error('执行完整清理失败')
@@ -566,6 +546,27 @@ const performUserCleanup = async () => {
  const valid = await userCleanupFormRef.value.validate()
  if (!valid) return
  
+  loadingUserCleanup.value = true
+  try {
+    const response = await cleanupApi.cleanupUserTasks(userCleanupForm.username)
+    ElMessage.success('用户任务清理成功')
+    console.log('清理结果:', response.data)
+    // 刷新统计信息
+    await refreshStats()
+    // 关闭对话框
+    handleCloseUserCleanupDialog()
+  } catch (error) {
+    console.error('清理用户任务失败:', error)
+    ElMessage.error('清理用户任务失败')
+  } finally {
+    loadingUserCleanup.value = false
+  }
+}
+
+const performUserCleanup_old = async () => {
+  const valid = await userCleanupFormRef.value.validate()
+  if (!valid) return
+  
  loadingUserCleanup.value = true
  try {
    const response = await fetch(`/api/cleanup/user-tasks/${userCleanupForm.username}`, {
--- a/demo/frontend/src/views/TextToVideoCreate.vue
+++ b/demo/frontend/src/views/TextToVideoCreate.vue
@@ -42,8 +42,8 @@
            rows="8"
          ></textarea>
          <div class="optimize-btn">
-            <button class="optimize-button">
-              ✨ 一键优化
+            <button class="optimize-button" @click="optimizePromptHandler" :disabled="!inputText.trim() || optimizingPrompt">
+              ✨ {{ optimizingPrompt ? '优化中...' : '一键优化' }}
            </button>
          </div>
        </div>
@@ -241,6 +241,7 @@ import { textToVideoApi } from '@/api/textToVideo'
 import { useUserStore } from '@/stores/user'
 import { User, VideoCamera, Star, Setting, SwitchButton } from '@element-plus/icons-vue'
 import { ElMessage, ElLoading } from 'element-plus'
+import { optimizePrompt } from '@/api/promptOptimizer'

 const router = useRouter()
 const userStore = useUserStore()
@@ -257,6 +258,7 @@ const taskStatus = ref('')
 const stopPolling = ref(null)
 const showInProgress = ref(false)
 const watermarkOption = ref('without')
+const optimizingPrompt = ref(false) // 优化提示词状态

 // 用户菜单相关
 const showUserMenu = ref(false)
@@ -477,6 +479,72 @@ const formatDate = (dateString) => {
  return `${year}年${month}月${day}日 ${hours}:${minutes}`
 }

+// 优化提示词
+const optimizePromptHandler = async () => {
+  if (!inputText.value.trim()) {
+    ElMessage.warning('请输入提示词')
+    return
+  }
+  
+  // 长度检查
+  if (inputText.value.length > 2000) {
+    ElMessage.warning('提示词过长，请控制在2000字符以内')
+    return
+  }
+  
+  try {
+    optimizingPrompt.value = true
+    const loading = ElLoading.service({
+      lock: false,
+      text: '正在优化提示词，请稍候...',
+      background: 'rgba(0, 0, 0, 0.3)'
+    })
+    
+    const response = await optimizePrompt(inputText.value.trim(), 'text-to-video')
+    
+    loading.close()
+    
+    if (response.data && response.data.success) {
+      const data = response.data.data
+      const optimized = data.optimizedPrompt
+      
+      // 检查是否真正优化了
+      if (data.optimized && optimized !== inputText.value.trim()) {
+        inputText.value = optimized
+        ElMessage.success('提示词优化成功！')
+      } else {
+        ElMessage.warning('提示词已优化，但可能无明显变化')
+      }
+    } else {
+      ElMessage.error(response.data?.message || '优化失败')
+    }
+  } catch (error) {
+    console.error('优化提示词失败:', error)
+    
+    let errorMessage = '优化提示词失败'
+    if (error.response) {
+      const status = error.response.status
+      if (status === 400) {
+        errorMessage = error.response.data?.message || '请求参数错误'
+      } else if (status === 408 || error.code === 'ECONNABORTED') {
+        errorMessage = '请求超时，请稍后重试'
+      } else if (status >= 500) {
+        errorMessage = '服务器错误，请稍后重试'
+      } else {
+        errorMessage = error.response.data?.message || '优化失败'
+      }
+    } else if (error.request) {
+      errorMessage = '网络错误，请检查网络连接'
+    } else {
+      errorMessage = error.message || '优化失败'
+    }
+    
+    ElMessage.error(errorMessage)
+  } finally {
+    optimizingPrompt.value = false
+  }
+}
+
 // 创建同款
 const createSimilar = () => {
  // 保持当前设置，重新生成