Phase 1 — Python (klausur-service): 5 monoliths → 36 files - dsfa_corpus_ingestion.py (1,828 LOC → 5 files) - cv_ocr_engines.py (2,102 LOC → 7 files) - cv_layout.py (3,653 LOC → 10 files) - vocab_worksheet_api.py (2,783 LOC → 8 files) - grid_build_core.py (1,958 LOC → 6 files) Phase 2 — Go (edu-search-service, school-service): 8 monoliths → 19 files - staff_crawler.go (1,402 → 4), policy/store.go (1,168 → 3) - policy_handlers.go (700 → 2), repository.go (684 → 2) - search.go (592 → 2), ai_extraction_handlers.go (554 → 2) - seed_data.go (591 → 2), grade_service.go (646 → 2) Phase 3 — TypeScript (admin-lehrer): 45 monoliths → 220+ files - sdk/types.ts (2,108 → 16 domain files) - ai/rag/page.tsx (2,686 → 14 files) - 22 page.tsx files split into _components/ + _hooks/ - 11 component files split into sub-components - 10 SDK data catalogs added to loc-exceptions - Deleted dead backup index_original.ts (4,899 LOC) All original public APIs preserved via re-export facades. Zero new errors: Python imports verified, Go builds clean, TypeScript tsc --noEmit shows only pre-existing errors. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
161 lines
5.6 KiB
TypeScript
161 lines
5.6 KiB
TypeScript
'use client'
|
|
|
|
/**
|
|
* Upload tab: session selection, drag-and-drop upload, and upload results.
|
|
*/
|
|
|
|
import { useState, useRef } from 'react'
|
|
import { API_BASE } from '../constants'
|
|
import type { OCRSession, UploadResult } from '../types'
|
|
|
|
interface UploadTabProps {
|
|
sessions: OCRSession[]
|
|
selectedSession: string | null
|
|
setSelectedSession: (id: string | null) => void
|
|
fetchQueue: () => Promise<void>
|
|
fetchStats: () => Promise<void>
|
|
setError: (error: string | null) => void
|
|
}
|
|
|
|
export function UploadTab({
|
|
sessions,
|
|
selectedSession,
|
|
setSelectedSession,
|
|
fetchQueue,
|
|
fetchStats,
|
|
setError,
|
|
}: UploadTabProps) {
|
|
const [uploading, setUploading] = useState(false)
|
|
const [uploadResults, setUploadResults] = useState<UploadResult[]>([])
|
|
const fileInputRef = useRef<HTMLInputElement>(null)
|
|
|
|
const handleUpload = async (files: FileList) => {
|
|
if (!selectedSession) {
|
|
setError('Bitte zuerst eine Session auswaehlen')
|
|
return
|
|
}
|
|
|
|
setUploading(true)
|
|
const formData = new FormData()
|
|
Array.from(files).forEach(file => formData.append('files', file))
|
|
formData.append('run_ocr', 'true')
|
|
|
|
try {
|
|
const res = await fetch(`${API_BASE}/api/v1/ocr-label/sessions/${selectedSession}/upload`, {
|
|
method: 'POST',
|
|
body: formData,
|
|
})
|
|
|
|
if (res.ok) {
|
|
const data = await res.json()
|
|
setUploadResults(data.items || [])
|
|
fetchQueue()
|
|
fetchStats()
|
|
} else {
|
|
setError('Upload fehlgeschlagen')
|
|
}
|
|
} catch {
|
|
setError('Netzwerkfehler beim Upload')
|
|
} finally {
|
|
setUploading(false)
|
|
}
|
|
}
|
|
|
|
return (
|
|
<div className="space-y-6">
|
|
{/* Session Selection */}
|
|
<div className="bg-white rounded-lg shadow p-6">
|
|
<h3 className="text-lg font-semibold mb-4">Session auswaehlen</h3>
|
|
<select
|
|
value={selectedSession || ''}
|
|
onChange={(e) => setSelectedSession(e.target.value || null)}
|
|
className="w-full px-3 py-2 border border-slate-300 rounded-lg focus:ring-2 focus:ring-primary-500"
|
|
>
|
|
<option value="">-- Session waehlen --</option>
|
|
{sessions.map((session) => (
|
|
<option key={session.id} value={session.id}>
|
|
{session.name} ({session.total_items} Items)
|
|
</option>
|
|
))}
|
|
</select>
|
|
</div>
|
|
|
|
{/* Upload Area */}
|
|
<div className="bg-white rounded-lg shadow p-6">
|
|
<h3 className="text-lg font-semibold mb-4">Bilder hochladen</h3>
|
|
<div
|
|
className={`border-2 border-dashed rounded-lg p-8 text-center ${
|
|
selectedSession ? 'border-slate-300 hover:border-primary-500' : 'border-slate-200 opacity-50'
|
|
}`}
|
|
onDragOver={(e) => {
|
|
e.preventDefault()
|
|
e.currentTarget.classList.add('border-primary-500', 'bg-primary-50')
|
|
}}
|
|
onDragLeave={(e) => {
|
|
e.currentTarget.classList.remove('border-primary-500', 'bg-primary-50')
|
|
}}
|
|
onDrop={(e) => {
|
|
e.preventDefault()
|
|
e.currentTarget.classList.remove('border-primary-500', 'bg-primary-50')
|
|
if (e.dataTransfer.files.length > 0) {
|
|
handleUpload(e.dataTransfer.files)
|
|
}
|
|
}}
|
|
>
|
|
<input
|
|
ref={fileInputRef}
|
|
type="file"
|
|
multiple
|
|
accept="image/png,image/jpeg,image/jpg"
|
|
onChange={(e) => e.target.files && handleUpload(e.target.files)}
|
|
className="hidden"
|
|
disabled={!selectedSession}
|
|
/>
|
|
{uploading ? (
|
|
<div className="flex flex-col items-center gap-2">
|
|
<div className="animate-spin rounded-full h-8 w-8 border-b-2 border-primary-600" />
|
|
<p>Hochladen & OCR ausfuehren...</p>
|
|
</div>
|
|
) : (
|
|
<>
|
|
<svg className="w-12 h-12 text-slate-400 mx-auto mb-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
|
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M4 16l4.586-4.586a2 2 0 012.828 0L16 16m-2-2l1.586-1.586a2 2 0 012.828 0L20 14m-6-6h.01M6 20h12a2 2 0 002-2V6a2 2 0 00-2-2H6a2 2 0 00-2 2v12a2 2 0 002 2z" />
|
|
</svg>
|
|
<p className="text-slate-600 mb-2">
|
|
Bilder hierher ziehen oder{' '}
|
|
<button
|
|
onClick={() => fileInputRef.current?.click()}
|
|
disabled={!selectedSession}
|
|
className="text-primary-600 hover:underline"
|
|
>
|
|
auswaehlen
|
|
</button>
|
|
</p>
|
|
<p className="text-sm text-slate-500">PNG, JPG (max. 10MB pro Bild)</p>
|
|
</>
|
|
)}
|
|
</div>
|
|
</div>
|
|
|
|
{/* Upload Results */}
|
|
{uploadResults.length > 0 && (
|
|
<div className="bg-white rounded-lg shadow p-6">
|
|
<h3 className="text-lg font-semibold mb-4">Upload-Ergebnisse ({uploadResults.length})</h3>
|
|
<div className="space-y-2">
|
|
{uploadResults.map((result) => (
|
|
<div key={result.id} className="flex items-center justify-between p-2 bg-slate-50 rounded">
|
|
<span className="text-sm">{result.filename}</span>
|
|
<span className={`text-xs px-2 py-1 rounded ${
|
|
result.ocr_text ? 'bg-green-100 text-green-800' : 'bg-yellow-100 text-yellow-800'
|
|
}`}>
|
|
{result.ocr_text ? `OCR OK (${Math.round((result.ocr_confidence || 0) * 100)}%)` : 'Kein OCR'}
|
|
</span>
|
|
</div>
|
|
))}
|
|
</div>
|
|
</div>
|
|
)}
|
|
</div>
|
|
)
|
|
}
|