auto-save 2026-05-12 17:00 (~3)

.memory/worklog.json

@@ -97,6 +97,13 @@
       "message": "auto-save 2026-05-12 16:49 (~3)",
       "hash": "4779c26",
       "files_changed": 3
+    },
+    {
+      "ts": "2026-05-12T16:55:37+08:00",
+      "type": "commit",
+      "message": "auto-save 2026-05-12 16:55 (~4)",
+      "hash": "345391d",
+      "files_changed": 4
     }
   ]
 }

web/app/page.tsx

@@ -13,7 +13,7 @@ import {
   type NodeData,
 } from "@/components/nodes"
 import { ThemeToggle } from "@/components/theme-toggle"
-import { createJob, getJob, triggerTranscribe, uploadJob, type Job } from "@/lib/api"
+import { analyzeJob, createJob, getJob, uploadJob, type Job } from "@/lib/api"
 
 const NODE_TYPES = {
   input: InputNode,
@@ -62,14 +62,13 @@ export default function Home() {
   const { resolvedTheme } = useTheme()
   const [job, setJob] = useState<Job | null>(null)
   const [submitting, setSubmitting] = useState(false)
+  const [analyzing, setAnalyzing] = useState(false)
   const [selectedFrames, setSelectedFrames] = useState<Set<number>>(new Set())
   const pollRef = useRef<ReturnType<typeof setInterval> | null>(null)
-  const transcribeTriggeredRef = useRef<string | null>(null)
 
   const handleSubmit = useCallback(async (url: string) => {
     setSubmitting(true)
     setSelectedFrames(new Set())
-    transcribeTriggeredRef.current = null
     try {
       const created = await createJob(url)
       setJob(created)
@@ -84,7 +83,6 @@ export default function Home() {
   const handleUpload = useCallback(async (file: File) => {
     setSubmitting(true)
     setSelectedFrames(new Set())
-    transcribeTriggeredRef.current = null
     try {
       toast.info(`上传中：${file.name} (${(file.size / 1024 / 1024).toFixed(1)} MB)`)
       const created = await uploadJob(file)
@@ -97,19 +95,34 @@ export default function Home() {
     }
   }, [])
 
+  const handleAnalyze = useCallback(async () => {
+    if (!job) return
+    setAnalyzing(true)
+    setSelectedFrames(new Set())
+    try {
+      await analyzeJob(job.id, 5)
+      toast.info("开始解析：拆轨 → 抽帧 → ASR → 翻译")
+    } catch (e) {
+      toast.error("解析触发失败：" + (e instanceof Error ? e.message : String(e)))
+    } finally {
+      setAnalyzing(false)
+    }
+  }, [job?.id])
+
   const handleToggleFrame = useCallback((idx: number) => {
     setSelectedFrames((prev) => {
       const next = new Set(prev)
       if (next.has(idx)) next.delete(idx)
-      else if (next.size < 10) next.add(idx)
+      else next.add(idx)
       return next
     })
   }, [])
 
-  // 轮询 Job
+  // 轮询 Job（downloaded / transcribed / failed 三态停止）
   useEffect(() => {
     if (!job) return
-    if (job.status === "transcribed" || job.status === "failed") {
+    const TERMINAL: Job["status"][] = ["downloaded", "transcribed", "failed"]
+    if (TERMINAL.includes(job.status)) {
       if (pollRef.current) { clearInterval(pollRef.current); pollRef.current = null }
       return
     }
@@ -122,23 +135,16 @@ export default function Home() {
     return () => { if (pollRef.current) clearInterval(pollRef.current) }
   }, [job?.id, job?.status])
 
-  // 抽帧完后自动触发 transcribe
-  useEffect(() => {
-    if (!job) return
-    if (job.status !== "frames_extracted") return
-    if (transcribeTriggeredRef.current === job.id) return
-    transcribeTriggeredRef.current = job.id
-    triggerTranscribe(job.id).catch((e) => toast.error("启动转录失败：" + e.message))
-  }, [job?.id, job?.status])
-
   const nodeData: NodeData = useMemo(() => ({
     job,
     submitting,
+    analyzing,
     selectedFrames,
     onSubmitUrl: handleSubmit,
     onUploadFile: handleUpload,
+    onAnalyze: handleAnalyze,
     onToggleFrame: handleToggleFrame,
-  }), [job, submitting, selectedFrames, handleSubmit, handleUpload, handleToggleFrame])
+  }), [job, submitting, analyzing, selectedFrames, handleSubmit, handleUpload, handleAnalyze, handleToggleFrame])
 
   // 用 useNodesState 让 ReactFlow 自己管位置（避免轮询时重置 drag）
   const [nodes, setNodes, onNodesChange] = useNodesState<Node>(

web/components/nodes/index.tsx

@@ -221,7 +221,7 @@ export function KeyframeNode({ data, selected }: any) {
       type="ai" status={st}
       icon={<ImageIcon className="h-4 w-4" />}
       title="关键帧 · Keyframes"
-      subtitle={`STEP 4 · ${d.selectedFrames.size}/10`}
+      subtitle={`STEP 4 · ${d.selectedFrames.size}/${d.job?.frames.length || 5}`}
       width={360}
       selected={selected}
     >
@@ -253,7 +253,7 @@ export function KeyframeNode({ data, selected }: any) {
           })}
         </div>
       ) : (
-        <div className="text-[11.5px] text-[var(--text-faint)] py-2">等待视频流，自动 + 手动抽取 ≤10 张</div>
+        <div className="text-[11.5px] text-[var(--text-faint)] py-2">等待解析后抽取（默认 5 张）</div>
       )}
     </NodeShell>
   )