fix: Restore all files lost during destructive rebase
A previous `git pull --rebase origin main` dropped 177 local commits,
losing 3400+ files across admin-v2, backend, studio-v2, website,
klausur-service, and many other services. The partial restore attempt
(660295e2) only recovered some files.
This commit restores all missing files from pre-rebase ref 98933f5e
while preserving post-rebase additions (night-scheduler, night-mode UI,
NightModeWidget dashboard integration).
Restored features include:
- AI Module Sidebar (FAB), OCR Labeling, OCR Compare
- GPU Dashboard, RAG Pipeline, Magic Help
- Klausur-Korrektur (8 files), Abitur-Archiv (5+ files)
- Companion, Zeugnisse-Crawler, Screen Flow
- Full backend, studio-v2, website, klausur-service
- All compliance SDKs, agent-core, voice-service
- CI/CD configs, documentation, scripts
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
342
website/app/admin/llm-compare/wizard/page.tsx
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342
website/app/admin/llm-compare/wizard/page.tsx
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'use client'
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import { useState } from 'react'
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import AdminLayout from '@/components/admin/AdminLayout'
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import {
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WizardStepper,
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WizardNavigation,
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EducationCard,
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ArchitectureContext,
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TestRunner,
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TestSummary,
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type WizardStep,
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type TestCategoryResult,
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type FullTestResults,
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type EducationContent,
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type ArchitectureContextType,
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} from '@/components/wizard'
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// ==============================================
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// Constants
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// ==============================================
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const BACKEND_URL = process.env.NEXT_PUBLIC_BACKEND_URL || 'http://localhost:8000'
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const STEPS: WizardStep[] = [
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{ id: 'welcome', name: 'Willkommen', icon: '👋', status: 'pending' },
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{ id: 'gateway', name: 'LLM Gateway', icon: '🌐', status: 'pending', category: 'gateway' },
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{ id: 'providers', name: 'Provider', icon: '🤖', status: 'pending', category: 'providers' },
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{ id: 'summary', name: 'Zusammenfassung', icon: '📊', status: 'pending' },
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]
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const EDUCATION_CONTENT: Record<string, EducationContent> = {
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'welcome': {
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title: 'Willkommen zum LLM Compare Wizard',
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content: [
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'Large Language Models (LLMs) sind das Herzstueck moderner KI.',
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'',
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'BreakPilot unterstuetzt mehrere Provider:',
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'• OpenAI: GPT-4o, GPT-4, GPT-3.5-turbo',
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'• Anthropic: Claude 3.5 Sonnet, Claude 3 Opus',
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'• Lokale Modelle: Ollama (Llama 3, Mistral)',
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'',
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'Das LLM Gateway abstrahiert die Provider:',
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'• Einheitliche API fuer alle Modelle',
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'• Automatisches Fallback bei Ausfaellen',
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'• Token-Counting und Kosten-Tracking',
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'• Playbooks fuer vordefinierte Prompts',
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],
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},
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'gateway': {
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title: 'LLM Gateway - Zentrale Schnittstelle',
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content: [
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'Das Gateway routet Anfragen an die passenden Provider.',
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'',
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'Features:',
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'• /llm/v1/chat - Unified Chat API',
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'• /llm/playbooks - Vordefinierte Prompts',
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'• /llm/health - Provider-Status',
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'',
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'Vorteile:',
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'• Provider-Wechsel ohne Code-Aenderung',
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'• Caching fuer haeufige Anfragen',
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'• Rate-Limiting pro Benutzer',
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'• Audit-Log aller Anfragen',
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'',
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'Aktivierung: LLM_GATEWAY_ENABLED=true',
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],
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},
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'providers': {
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title: 'LLM Provider - Modell-Auswahl',
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content: [
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'Verschiedene Provider fuer verschiedene Anforderungen.',
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'',
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'OpenAI:',
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'• Beste allgemeine Leistung',
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'• Hoechste Geschwindigkeit',
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'• ~$0.01-0.03 pro 1K Tokens',
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'',
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'Anthropic (Claude):',
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'• Beste lange Kontexte (200K)',
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'• Sehr sicher und aligned',
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'• ~$0.01-0.015 pro 1K Tokens',
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'',
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'Ollama (Lokal):',
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'• Kostenlos nach Hardware',
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'• Volle Datenkontrolle',
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'• Langsamer ohne GPU',
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],
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},
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'summary': {
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title: 'Test-Zusammenfassung',
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content: [
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'Hier sehen Sie eine Uebersicht aller durchgefuehrten Tests:',
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'• Gateway-Verfuegbarkeit',
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'• Provider-Konnektivitaet',
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'• Lokale LLM-Optionen',
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],
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},
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}
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const ARCHITECTURE_CONTEXTS: Record<string, ArchitectureContextType> = {
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'gateway': {
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layer: 'api',
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services: ['backend'],
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dependencies: ['OpenAI API', 'Anthropic API', 'Ollama'],
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dataFlow: ['Browser', 'FastAPI', 'LLM Gateway', 'Provider API'],
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},
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'providers': {
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layer: 'service',
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services: ['backend'],
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dependencies: ['API Keys', 'Rate Limits', 'Token Counter'],
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dataFlow: ['LLM Gateway', 'Provider Selection', 'API Call', 'Response'],
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},
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}
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// ==============================================
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// Main Component
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// ==============================================
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export default function LLMCompareWizardPage() {
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const [currentStep, setCurrentStep] = useState(0)
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const [steps, setSteps] = useState<WizardStep[]>(STEPS)
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const [categoryResults, setCategoryResults] = useState<Record<string, TestCategoryResult>>({})
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const [fullResults, setFullResults] = useState<FullTestResults | null>(null)
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const [isLoading, setIsLoading] = useState(false)
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const [error, setError] = useState<string | null>(null)
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const currentStepData = steps[currentStep]
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const isTestStep = currentStepData?.category !== undefined
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const isWelcome = currentStepData?.id === 'welcome'
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const isSummary = currentStepData?.id === 'summary'
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const runCategoryTest = async (category: string) => {
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setIsLoading(true)
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setError(null)
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try {
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const response = await fetch(`${BACKEND_URL}/api/admin/llm-tests/${category}`, {
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method: 'POST',
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})
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if (!response.ok) {
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throw new Error(`HTTP ${response.status}: ${response.statusText}`)
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}
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const result: TestCategoryResult = await response.json()
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setCategoryResults((prev) => ({ ...prev, [category]: result }))
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setSteps((prev) =>
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prev.map((step) =>
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step.category === category
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? { ...step, status: result.failed === 0 ? 'completed' : 'failed' }
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: step
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)
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)
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} catch (err) {
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setError(err instanceof Error ? err.message : 'Unbekannter Fehler')
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} finally {
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setIsLoading(false)
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}
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}
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const runAllTests = async () => {
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setIsLoading(true)
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setError(null)
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try {
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const response = await fetch(`${BACKEND_URL}/api/admin/llm-tests/run-all`, {
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method: 'POST',
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})
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if (!response.ok) {
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throw new Error(`HTTP ${response.status}: ${response.statusText}`)
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}
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const results: FullTestResults = await response.json()
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setFullResults(results)
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setSteps((prev) =>
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prev.map((step) => {
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if (step.category) {
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const catResult = results.categories.find((c) => c.category === step.category)
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if (catResult) {
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return { ...step, status: catResult.failed === 0 ? 'completed' : 'failed' }
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}
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}
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return step
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})
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)
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const newCategoryResults: Record<string, TestCategoryResult> = {}
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results.categories.forEach((cat) => {
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newCategoryResults[cat.category] = cat
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})
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setCategoryResults(newCategoryResults)
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} catch (err) {
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setError(err instanceof Error ? err.message : 'Unbekannter Fehler')
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} finally {
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setIsLoading(false)
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}
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}
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const goToNext = () => {
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if (currentStep < steps.length - 1) {
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setSteps((prev) =>
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prev.map((step, idx) =>
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idx === currentStep && step.status === 'pending'
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? { ...step, status: 'completed' }
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: step
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)
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)
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setCurrentStep((prev) => prev + 1)
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}
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}
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const goToPrev = () => {
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if (currentStep > 0) {
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setCurrentStep((prev) => prev - 1)
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}
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}
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const handleStepClick = (index: number) => {
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if (index <= currentStep || steps[index - 1]?.status !== 'pending') {
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setCurrentStep(index)
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}
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}
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return (
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<AdminLayout
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title="LLM Compare Wizard"
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description="Interaktives Lernen und Testen der LLM Provider"
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>
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{/* Header */}
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<div className="bg-white rounded-lg shadow p-4 mb-6 flex items-center justify-between">
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<div className="flex items-center">
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<span className="text-3xl mr-3">🤖</span>
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<div>
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<h2 className="text-lg font-bold text-gray-800">LLM Compare Wizard</h2>
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<p className="text-sm text-gray-600">OpenAI, Anthropic & Ollama</p>
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</div>
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</div>
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<a href="/admin/llm-compare" className="text-blue-600 hover:text-blue-800 text-sm">
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← Zurueck zu LLM Compare
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</a>
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</div>
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{/* Stepper */}
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<div className="bg-white rounded-lg shadow p-6 mb-6">
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<WizardStepper steps={steps} currentStep={currentStep} onStepClick={handleStepClick} />
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</div>
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{/* Content */}
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<div className="bg-white rounded-lg shadow p-6">
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<div className="flex items-center mb-6">
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<span className="text-3xl mr-3">{currentStepData?.icon}</span>
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<div>
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<h2 className="text-xl font-bold text-gray-800">
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Schritt {currentStep + 1}: {currentStepData?.name}
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</h2>
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<p className="text-gray-500 text-sm">
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{currentStep + 1} von {steps.length}
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</p>
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</div>
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</div>
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<EducationCard content={EDUCATION_CONTENT[currentStepData?.id || '']} />
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{isTestStep && currentStepData?.category && ARCHITECTURE_CONTEXTS[currentStepData.category] && (
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<ArchitectureContext
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context={ARCHITECTURE_CONTEXTS[currentStepData.category]}
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currentStep={currentStepData.name}
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/>
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)}
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{error && (
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<div className="bg-red-50 border border-red-200 text-red-700 rounded-lg p-4 mb-6">
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<strong>Fehler:</strong> {error}
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</div>
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)}
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{isWelcome && (
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<div className="text-center py-8">
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<button
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onClick={goToNext}
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className="bg-blue-600 text-white px-8 py-3 rounded-lg font-medium hover:bg-blue-700 transition-colors"
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>
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Wizard starten
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</button>
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</div>
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)}
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{isTestStep && currentStepData?.category && (
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<TestRunner
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category={currentStepData.category}
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categoryResult={categoryResults[currentStepData.category]}
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isLoading={isLoading}
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onRunTests={() => runCategoryTest(currentStepData.category!)}
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/>
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)}
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{isSummary && (
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<div>
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{!fullResults ? (
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<div className="text-center py-8">
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<p className="text-gray-600 mb-4">
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Fuehren Sie alle Tests aus um eine Zusammenfassung zu sehen.
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</p>
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<button
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onClick={runAllTests}
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disabled={isLoading}
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className={`px-6 py-3 rounded-lg font-medium transition-colors ${
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isLoading
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? 'bg-gray-400 cursor-not-allowed'
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: 'bg-blue-600 text-white hover:bg-blue-700'
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}`}
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>
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{isLoading ? 'Alle Tests laufen...' : 'Alle Tests ausfuehren'}
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</button>
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</div>
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) : (
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<TestSummary results={fullResults} />
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)}
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</div>
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)}
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<WizardNavigation
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currentStep={currentStep}
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totalSteps={steps.length}
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onPrev={goToPrev}
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onNext={goToNext}
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showNext={!isSummary}
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isLoading={isLoading}
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/>
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</div>
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<div className="text-center text-gray-500 text-sm mt-6">
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Diese Tests pruefen die LLM-Integration.
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Bei Fragen wenden Sie sich an das KI-Team.
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</div>
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</AdminLayout>
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)
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}
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Reference in New Issue
Block a user