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
This commit is contained in:
@@ -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',
|
||||
|
||||
Reference in New Issue
Block a user