perf(async): 交互端点后台化 skim/deep/embed + TaskStatus 类型对齐 + 前端轮询改造 - #45
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PR5 — 交互端点后台化（高风险）
5a. TaskStatus 类型不一致修复（前置 bug）:
- 后端 task_tracker.to_dict 加 status 便利字段（由 finished/success 派生 running/completed/failed）
+ progress 别名（0-1 小数，前端期望）
- 前端 TaskStatus 类型补 finished/success/progress_pct/elapsed_seconds
此前前端读 status.status 拿 undefined，Wiki/DailyBrief 轮询靠 status 判断失配
5b. pipelines.py skim/deep/embed 改 global_tracker.submit:
- 同步阻塞（5s-2min 占请求线程）→ 后台任务，立即返回 {task_id, status}
- _fn 内 progress_callback 上报进度，结果存 task.result
5c. 前端调用方改造:
- 新建 pollTaskUntilDone helper（递归 setTimeout 轮询 getStatus 直到 finished，
5min 超时 + 10 次错误上限 + 可取消）
- useSkim/useDeepRead/useEmbed：调端点拿 task_id → pollTaskUntilDone → getResult
- onCancel 改用 cancelSkim/cancelDeep/cancelEmbed（标记 cancelledRef，轮询退出）
- useAutoAnalyze 的 3 处直接调 pipelineApi 同步改 pollTaskUntilDone
- pipelineApi.skim/deep/embed 返回类型改 {task_id, status}
不做（如实标注）:
- reasoning 后台化：papers.py reasoning 保留同步（低频手动触发，收益小于 skim/deep，列后续）
- 后台任务后端 cancel 端点：前端 cancel 仅标记退出轮询，后端任务仍跑完（标注后续）
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PR5 — 交互端点后台化（高风险，依赖 PR4 轮询基建）
5a. TaskStatus 类型不一致修复（前置 bug）
5b. pipelines.py skim/deep/embed 改 global_tracker.submit
5c. 前端调用方改造
不做（如实标注）
验证