auto-save 2026-05-14 04:32 (~5)

web/app/page.tsx

@@ -42,6 +42,7 @@ const FRAME_TARGET_LABELS: Record<FrameExtractTarget, string> = {
   motion: "动作峰值",
 }
 const FRAME_QUALITY_LABELS: Record<FrameExtractQuality, string> = {
+  auto: "自动",
   fast: "快速",
   accurate: "精细",
   ultra: "极准",
@@ -178,7 +179,7 @@ export default function Home() {
     if (!targetJob) return
     const frameTarget = frameTargets[jobId] ?? "balanced"
     const frameCount = frameCounts[jobId] ?? 5
-    const frameQuality = frameQualities[jobId] ?? "ultra"
+    const frameQuality = frameQualities[jobId] ?? "auto"
     const mode = options?.mode ?? (targetJob.frames.length > 0 ? "append" : "replace")
     setActiveJobId(jobId)
     setAnalyzing(true)
@@ -497,30 +498,43 @@ export default function Home() {
     })
   }, [job?.id, job?.frames])
 
-  // 轮询 Job（downloaded / transcribed / failed 三态停止）
+  // 轮询 Job：任一视频在下载 / 抽帧 / 生视频时都继续轮询，支持多个抽帧任务排队。
   const prevStatusRef = useRef<string | null>(null)
   useEffect(() => {
-    if (!job) return
+    if (jobs.length === 0) return
     // 状态切到 downloaded 时提示用户点解析（仅一次）
-    if (job.status === "downloaded" && prevStatusRef.current !== "downloaded") {
+    if (job?.status === "downloaded" && prevStatusRef.current !== "downloaded") {
       toast.info("📥 视频已就绪 — 请点 Input 节点里的「点这里开始解析」按钮", { duration: 6000 })
     }
-    prevStatusRef.current = job.status
+    prevStatusRef.current = job?.status ?? null
 
-    const runningVideo = !!job.generated_videos?.some((v) => v.status === "queued" || v.status === "in_progress")
     const TERMINAL: Job["status"][] = ["downloaded", "frames_extracted", "transcribed", "failed"]
-    if (TERMINAL.includes(job.status) && !runningVideo) {
+    const runningIds = jobs
+      .filter((item) => {
+        const runningVideo = !!item.generated_videos?.some((v) => v.status === "queued" || v.status === "in_progress")
+        return runningVideo || !TERMINAL.includes(item.status)
+      })
+      .map((item) => item.id)
+
+    if (runningIds.length === 0) {
       if (pollRef.current) { clearInterval(pollRef.current); pollRef.current = null }
       return
     }
     pollRef.current = setInterval(async () => {
       try {
-        const latest = await getJob(job.id)
-        setJob(latest)
+        const latestJobs = await Promise.all(runningIds.map((id) => getJob(id).catch(() => null)))
+        const byId = new Map(latestJobs.filter((item): item is Job => !!item).map((item) => [item.id, item]))
+        if (byId.size > 0) {
+          setJobs((prev) => prev.map((item) => byId.get(item.id) ?? item))
+        }
       } catch { /* silent */ }
     }, 1500)
     return () => { if (pollRef.current) clearInterval(pollRef.current) }
-  }, [job?.id, job?.status, job?.generated_videos?.map((v) => `${v.id}:${v.status}:${v.progress}`).join("|")])
+  }, [
+    job?.id,
+    job?.status,
+    jobs.map((item) => `${item.id}:${item.status}:${item.progress}:${item.generated_videos?.map((v) => `${v.id}:${v.status}:${v.progress}`).join(",")}`).join("|"),
+  ])
 
   const [pinnedNodes, setPinnedNodes] = useState<Set<string>>(() => new Set(loadNodePins()))
   const handleToggleNodePin = useCallback((id: string) => {

web/components/nodes/index.tsx

@@ -135,6 +135,7 @@ const FRAME_TARGET_OPTIONS: Array<{ value: FrameExtractTarget; label: string; hi
 ]
 const FRAME_COUNT_OPTIONS = [3, 5, 8, 12]
 const FRAME_QUALITY_OPTIONS: Array<{ value: FrameExtractQuality; label: string; hint: string }> = [
+  { value: "auto", label: "自动", hint: "按电脑性能和视频时长自动选择" },
   { value: "fast", label: "快速", hint: "2fps / 360px，长视频省电" },
   { value: "accurate", label: "精细", hint: "8fps / 720px，M2 Max 轻松可用" },
   { value: "ultra", label: "极准", hint: "12fps / 960px，本机约 3 秒扫描 1 分钟视频" },
@@ -438,7 +439,7 @@ function FrameExtractQuickBar({
   onAnalyze: () => void
 }) {
   const option = FRAME_TARGET_OPTIONS.find((item) => item.value === target) ?? FRAME_TARGET_OPTIONS[0]
-  const qualityOption = FRAME_QUALITY_OPTIONS.find((item) => item.value === quality) ?? FRAME_QUALITY_OPTIONS[1]
+  const qualityOption = FRAME_QUALITY_OPTIONS.find((item) => item.value === quality) ?? FRAME_QUALITY_OPTIONS[0]
   const [settingsOpen, setSettingsOpen] = useState(false)
 
   return (
@@ -569,7 +570,7 @@ export function InputNode({ data, selected }: NodeProps<{ data: NodeData }> | an
             const toolWidth = Math.max(148, thumbNaturalWidth)
             const target = d.frameTargets[j.id] ?? "balanced"
             const count = d.frameCounts[j.id] ?? 5
-            const quality = d.frameQualities[j.id] ?? "ultra"
+            const quality = d.frameQualities[j.id] ?? "auto"
             const jHasFrames = j.frames.length > 0
             const jRunning = ["splitting", "transcribing"].includes(j.status)
             return (
@@ -583,7 +584,7 @@ export function InputNode({ data, selected }: NodeProps<{ data: NodeData }> | an
                     target={target}
                     count={count}
                     quality={quality}
-                    disabled={jRunning || d.analyzing}
+                    disabled={jRunning}
                     running={jRunning}
                     hasFrames={jHasFrames}
                     onTargetChange={(next) => d.onFrameTargetChange(j.id, next)}

web/lib/api.ts

@@ -130,7 +130,7 @@ export interface KeyFrame {
 
 export type FrameExtractTarget = "balanced" | "subject" | "transition" | "expression" | "motion"
 export type FrameExtractMode = "replace" | "append"
-export type FrameExtractQuality = "fast" | "accurate" | "ultra"
+export type FrameExtractQuality = "auto" | "fast" | "accurate" | "ultra"
 
 export interface TranscriptSegment {
   index: number
@@ -268,7 +268,7 @@ export async function analyzeJob(
   frames = 5,
   target: FrameExtractTarget = "balanced",
   mode: FrameExtractMode = "replace",
-  quality: FrameExtractQuality = "accurate",
+  quality: FrameExtractQuality = "auto",
 ): Promise<Job> {
   const qs = new URLSearchParams({ frames: String(frames), target, mode, quality })
   const res = await fetch(`${API_BASE}/jobs/${id}/analyze?${qs.toString()}`, { method: "POST" })