feat: 实现四阶段进度显示

问题:
- 当前进度显示使用旧的处理器列表
- 显示了所有独立的处理步骤，而不是分阶段

解决方案:
- 将处理步骤聚合到四个主要阶段
- 实现阶段级进度计算
- 更新阶段名称显示

四阶段结构:
1. Processors (30%)
   - 包含所有处理器 (ASR, FACE, OCR, etc.)

2. Knowledge Graph (35%)
   - tkg_nodes
   - tkg_edges

3. Moment Extraction (6%)
   - vlm_summary
   - scene_vlm
   - moment_chunks

4. Integration (29%)
   - rule1_ingestion
   - rule2_ingestion
   - face_tracing
   - face_dedup

实现细节:
- loadPipelineStats() 中添加阶段聚合逻辑
- 根据步骤权重计算阶段进度
- 根据步骤状态确定阶段状态
- formatStageName() 更新阶段名称映射

进度计算:
- 阶段进度 = 加权平均步骤进度
- 阶段状态 = 优先级: failed > completed > running > pending
- 总体进度 = 加权阶段进度之和

显示效果:
- ✗ Processors: 0%
- ✓ Knowledge Graph: 100%
- ✗ Moment Extraction: 33%
- ✗ Integration: 50%

优势:
- 更清晰的阶段划分
- 更好的进度概览
- 更符合实际处理流程

src/store.ts

@@ -1112,31 +1112,69 @@ export async function loadPipelineStats(fileUuid: string, force = false): Promis
     
     const stages = data.stages || []
     
-    const WEIGHT_MAP: Record<string, number> = {
+    // Map individual steps to phases
-      processors: 0.30,
+    const phaseMap: Record<string, {
-      rule1_ingestion: 0.05,
+      weight: number
-      face_tracing: 0.05,
+      steps: string[]
-      face_dedup: 0.10,
+    }> = {
-      tkg_nodes: 0.20,
+      processors: {
-      tkg_edges: 0.15,
+        weight: 0.30,
-      rule2_ingestion: 0.10,
+        steps: ['processors']
-      vlm_summary: 0.03,
+      },
-      scene_vlm: 0.03,
+      knowledge_graph: {
-      moment_chunks: 0.01
+        weight: 0.35,
+        steps: ['tkg_nodes', 'tkg_edges']
+      },
+      moment_extraction: {
+        weight: 0.06,
+        steps: ['vlm_summary', 'scene_vlm', 'moment_chunks']
+      },
+      integration: {
+        weight: 0.29,
+        steps: ['rule1_ingestion', 'rule2_ingestion', 'face_tracing', 'face_dedup']
+      }
     }
     
-    const mappedStages = stages.map((s: any) => ({
+    // Aggregate steps into phases
-      name: s.name,
+    const aggregatedStages: PipelineStage[] = []
-      weight: WEIGHT_MAP[s.name] ?? s.weight ?? 0,
-      progress: s.progress || 0,
-      status: s.status || 'pending'
-    }))
     
-    const calculatedProgress = mappedStages.reduce((sum, s) => sum + s.weight * s.progress, 0)
+    for (const [phaseName, phaseConfig] of Object.entries(phaseMap)) {
+      const phaseSteps = stages.filter((s: any) => phaseConfig.steps.includes(s.name))
+      
+      if (phaseSteps.length > 0) {
+        // Calculate phase progress from steps
+        const totalWeight = phaseSteps.reduce((sum: number, s: any) => sum + (s.weight || 0), 0)
+        const weightedProgress = phaseSteps.reduce((sum: number, s: any) => {
+          const stepWeight = s.weight || 0
+          return sum + stepWeight * (s.progress || 0)
+        }, 0)
+        
+        const phaseProgress = totalWeight > 0 ? weightedProgress / totalWeight : 0
+        
+        // Determine phase status
+        const allCompleted = phaseSteps.every((s: any) => s.status === 'completed')
+        const anyRunning = phaseSteps.some((s: any) => s.status === 'running')
+        const anyFailed = phaseSteps.some((s: any) => s.status === 'failed')
+        
+        let phaseStatus: 'pending' | 'running' | 'completed' | 'failed' = 'pending'
+        if (anyFailed) phaseStatus = 'failed'
+        else if (allCompleted) phaseStatus = 'completed'
+        else if (anyRunning) phaseStatus = 'running'
+        
+        aggregatedStages.push({
+          name: phaseName,
+          weight: phaseConfig.weight,
+          progress: phaseProgress,
+          status: phaseStatus
+        })
+      }
+    }
+    
+    const calculatedProgress = aggregatedStages.reduce((sum, s) => sum + s.weight * s.progress, 0)
     
     const pipelineStats: PipelineStats = {
       overall_progress: calculatedProgress,
-      stages: mappedStages
+      stages: aggregatedStages
     }
     
     console.log('[loadPipelineStats]', fileUuid, pipelineStats)

src/views/LibraryView.vue

@@ -1179,6 +1179,10 @@ function getStageIcon(status: string): string {
 function formatStageName(name: string): string {
   const names: Record<string, string> = {
     processors: 'Processors',
+    knowledge_graph: 'Knowledge Graph',
+    moment_extraction: 'Moment Extraction',
+    integration: 'Integration',
+    // Keep old names for backward compatibility
     rule1_ingestion: 'Rule1 Ingestion',
     face_tracing: 'Face Tracing',
     face_dedup: 'Face Dedup',