Files
breakpilot-lehrer/website/app/admin/magic-help/_components/useMagicHelp.tsx
Benjamin Admin 6811264756 [split-required] Split final batch of monoliths >1000 LOC
Python (6 files in klausur-service):
- rbac.py (1,132 → 4), admin_api.py (1,012 → 4)
- routes/eh.py (1,111 → 4), ocr_pipeline_geometry.py (1,105 → 5)

Python (2 files in backend-lehrer):
- unit_api.py (1,226 → 6), game_api.py (1,129 → 5)

Website (6 page files):
- 4x klausur-korrektur pages (1,249-1,328 LOC each) → shared components
  in website/components/klausur-korrektur/ (17 shared files)
- companion (1,057 → 10), magic-help (1,017 → 8)

All re-export barrels preserve backward compatibility.
Zero import errors verified.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-24 23:17:30 +02:00

181 lines
5.4 KiB
TypeScript

'use client'
import { useState, useEffect, useCallback } from 'react'
import type { TabId, TrOCRStatus, OCRResult, TrainingExample, MagicSettings } from './types'
import { DEFAULT_SETTINGS } from './types'
export function useMagicHelp() {
const [activeTab, setActiveTab] = useState<TabId>('overview')
const [status, setStatus] = useState<TrOCRStatus | null>(null)
const [loading, setLoading] = useState(true)
const [ocrResult, setOcrResult] = useState<OCRResult | null>(null)
const [ocrLoading, setOcrLoading] = useState(false)
const [examples, setExamples] = useState<TrainingExample[]>([])
const [trainingImage, setTrainingImage] = useState<File | null>(null)
const [trainingText, setTrainingText] = useState('')
const [fineTuning, setFineTuning] = useState(false)
const [settings, setSettings] = useState<MagicSettings>(DEFAULT_SETTINGS)
const [settingsSaved, setSettingsSaved] = useState(false)
const fetchStatus = useCallback(async () => {
try {
const res = await fetch('/api/klausur/trocr/status')
const data = await res.json()
setStatus(data)
} catch {
setStatus({ status: 'error', error: 'Failed to fetch status' })
} finally {
setLoading(false)
}
}, [])
const fetchExamples = useCallback(async () => {
try {
const res = await fetch('/api/klausur/trocr/training/examples')
const data = await res.json()
setExamples(data.examples || [])
} catch (error) {
console.error('Failed to fetch examples:', error)
}
}, [])
useEffect(() => {
fetchStatus()
fetchExamples()
// Load settings from localStorage
const saved = localStorage.getItem('magic-help-settings')
if (saved) {
try {
setSettings(JSON.parse(saved))
} catch {
// ignore parse errors
}
}
}, [fetchStatus, fetchExamples])
const handleFileUpload = async (file: File) => {
setOcrLoading(true)
setOcrResult(null)
const formData = new FormData()
formData.append('file', file)
try {
const res = await fetch(`/api/klausur/trocr/extract?detect_lines=${settings.autoDetectLines}`, {
method: 'POST',
body: formData,
})
const data = await res.json()
if (data.text !== undefined) {
setOcrResult(data)
} else {
setOcrResult({ text: `Error: ${data.detail || 'Unknown error'}`, confidence: 0, processing_time_ms: 0, model: '', has_lora_adapter: false })
}
} catch (error) {
setOcrResult({ text: `Error: ${error}`, confidence: 0, processing_time_ms: 0, model: '', has_lora_adapter: false })
} finally {
setOcrLoading(false)
}
}
const handleAddTrainingExample = async () => {
if (!trainingImage || !trainingText.trim()) {
alert('Please provide both an image and the correct text')
return
}
const formData = new FormData()
formData.append('file', trainingImage)
try {
const res = await fetch(`/api/klausur/trocr/training/add?ground_truth=${encodeURIComponent(trainingText)}`, {
method: 'POST',
body: formData,
})
const data = await res.json()
if (data.example_id) {
alert(`Training example added! Total: ${data.total_examples}`)
setTrainingImage(null)
setTrainingText('')
fetchStatus()
fetchExamples()
} else {
alert(`Error: ${data.detail || 'Unknown error'}`)
}
} catch (error) {
alert(`Error: ${error}`)
}
}
const handleFineTune = async () => {
if (!confirm('Start fine-tuning? This may take several minutes.')) return
setFineTuning(true)
try {
const res = await fetch('/api/klausur/trocr/training/fine-tune', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
epochs: settings.epochs,
learning_rate: settings.learningRate,
lora_rank: settings.loraRank,
lora_alpha: settings.loraAlpha,
}),
})
const data = await res.json()
if (data.status === 'success') {
alert(`Fine-tuning successful!\nExamples used: ${data.examples_used}\nEpochs: ${data.epochs}`)
fetchStatus()
} else {
alert(`Fine-tuning failed: ${data.message}`)
}
} catch (error) {
alert(`Error: ${error}`)
} finally {
setFineTuning(false)
}
}
const saveSettings = () => {
localStorage.setItem('magic-help-settings', JSON.stringify(settings))
setSettingsSaved(true)
setTimeout(() => setSettingsSaved(false), 2000)
}
const getStatusBadge = () => {
if (!status) return null
switch (status.status) {
case 'available':
return <span className="px-2 py-1 text-xs font-medium rounded-full bg-green-500/20 text-green-400">Available</span>
case 'not_installed':
return <span className="px-2 py-1 text-xs font-medium rounded-full bg-red-500/20 text-red-400">Not Installed</span>
case 'error':
return <span className="px-2 py-1 text-xs font-medium rounded-full bg-yellow-500/20 text-yellow-400">Error</span>
}
}
return {
activeTab,
setActiveTab,
status,
loading,
ocrResult,
ocrLoading,
examples,
trainingImage,
setTrainingImage,
trainingText,
setTrainingText,
fineTuning,
settings,
setSettings,
settingsSaved,
fetchStatus,
handleFileUpload,
handleAddTrainingExample,
handleFineTune,
saveSettings,
getStatusBadge,
}
}