Some checks failed
CI / go-lint (push) Has been cancelled
CI / python-lint (push) Has been cancelled
CI / nodejs-lint (push) Has been cancelled
CI / test-go-school (push) Has been cancelled
CI / test-go-edu-search (push) Has been cancelled
CI / test-python-klausur (push) Has been cancelled
CI / test-python-agent-core (push) Has been cancelled
CI / test-nodejs-website (push) Has been cancelled
New 2-step mode (Upload → PaddleOCR+Overlay) alongside the existing 7-step pipeline. Backend endpoint runs PaddleOCR on the original image and clusters words into rows/cells directly. Frontend adds a mode toggle and PaddleDirectStep component. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
130 lines
4.0 KiB
TypeScript
130 lines
4.0 KiB
TypeScript
'use client'
|
|
|
|
import { useCallback, useEffect, useState } from 'react'
|
|
import { OverlayReconstruction } from './OverlayReconstruction'
|
|
|
|
const KLAUSUR_API = '/klausur-api'
|
|
|
|
type Phase = 'idle' | 'running' | 'overlay'
|
|
|
|
interface PaddleDirectStepProps {
|
|
sessionId: string | null
|
|
onNext: () => void
|
|
}
|
|
|
|
export function PaddleDirectStep({ sessionId, onNext }: PaddleDirectStepProps) {
|
|
const [phase, setPhase] = useState<Phase>('idle')
|
|
const [error, setError] = useState<string | null>(null)
|
|
const [stats, setStats] = useState<{ cells: number; rows: number; duration: number } | null>(null)
|
|
|
|
// Auto-detect: if session already has paddle_direct word_result → show overlay
|
|
useEffect(() => {
|
|
if (!sessionId) return
|
|
let cancelled = false
|
|
;(async () => {
|
|
try {
|
|
const res = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sessionId}`)
|
|
if (!res.ok || cancelled) return
|
|
const data = await res.json()
|
|
if (data.word_result?.ocr_engine === 'paddle_direct') {
|
|
setPhase('overlay')
|
|
}
|
|
} catch {
|
|
// ignore
|
|
}
|
|
})()
|
|
return () => { cancelled = true }
|
|
}, [sessionId])
|
|
|
|
const runPaddleDirect = useCallback(async () => {
|
|
if (!sessionId) return
|
|
setPhase('running')
|
|
setError(null)
|
|
try {
|
|
const res = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sessionId}/paddle-direct`, {
|
|
method: 'POST',
|
|
})
|
|
if (!res.ok) {
|
|
const data = await res.json().catch(() => ({}))
|
|
throw new Error(data.detail || `HTTP ${res.status}`)
|
|
}
|
|
const data = await res.json()
|
|
setStats({
|
|
cells: data.summary?.total_cells || 0,
|
|
rows: data.grid_shape?.rows || 0,
|
|
duration: data.duration_seconds || 0,
|
|
})
|
|
setPhase('overlay')
|
|
} catch (e: unknown) {
|
|
setError(e instanceof Error ? e.message : 'Unbekannter Fehler')
|
|
setPhase('idle')
|
|
}
|
|
}, [sessionId])
|
|
|
|
if (!sessionId) {
|
|
return (
|
|
<div className="text-sm text-gray-400 py-8 text-center">
|
|
Bitte zuerst ein Bild hochladen.
|
|
</div>
|
|
)
|
|
}
|
|
|
|
if (phase === 'overlay') {
|
|
return (
|
|
<div className="space-y-3">
|
|
{stats && (
|
|
<div className="flex items-center gap-4 text-xs text-gray-500 dark:text-gray-400">
|
|
<span>{stats.cells} Woerter erkannt</span>
|
|
<span>{stats.rows} Zeilen</span>
|
|
<span>{stats.duration.toFixed(1)}s</span>
|
|
</div>
|
|
)}
|
|
<OverlayReconstruction sessionId={sessionId} onNext={onNext} />
|
|
</div>
|
|
)
|
|
}
|
|
|
|
return (
|
|
<div className="flex flex-col items-center justify-center py-16 space-y-6">
|
|
{phase === 'running' ? (
|
|
<>
|
|
<div className="w-10 h-10 border-4 border-teal-200 dark:border-teal-800 border-t-teal-600 dark:border-t-teal-400 rounded-full animate-spin" />
|
|
<div className="text-center space-y-1">
|
|
<p className="text-sm font-medium text-gray-700 dark:text-gray-300">
|
|
PaddleOCR laeuft...
|
|
</p>
|
|
<p className="text-xs text-gray-400">
|
|
Bild wird analysiert (ca. 5-30s)
|
|
</p>
|
|
</div>
|
|
</>
|
|
) : (
|
|
<>
|
|
<div className="text-center space-y-2">
|
|
<div className="text-4xl">⚡</div>
|
|
<h3 className="text-lg font-medium text-gray-700 dark:text-gray-300">
|
|
Paddle Direct
|
|
</h3>
|
|
<p className="text-sm text-gray-500 dark:text-gray-400 max-w-md">
|
|
PaddleOCR erkennt alle Woerter direkt auf dem Originalbild — ohne Begradigung, Entzerrung oder Zuschnitt.
|
|
</p>
|
|
</div>
|
|
|
|
{error && (
|
|
<div className="text-sm text-red-500 bg-red-50 dark:bg-red-900/20 px-4 py-2 rounded-lg">
|
|
{error}
|
|
</div>
|
|
)}
|
|
|
|
<button
|
|
onClick={runPaddleDirect}
|
|
className="px-6 py-2.5 bg-teal-600 text-white text-sm font-medium rounded-lg hover:bg-teal-700 transition-colors"
|
|
>
|
|
PaddleOCR starten
|
|
</button>
|
|
</>
|
|
)}
|
|
</div>
|
|
)
|
|
}
|