[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>

website/app/admin/magic-help/_components/useMagicHelp.tsx

@@ -0,0 +1,180 @@
+'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,
+  }
+}