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BreakPilot Dev 19855efacc
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feat: BreakPilot PWA - Full codebase (clean push without large binaries)
All services: admin-v2, studio-v2, website, ai-compliance-sdk,
consent-service, klausur-service, voice-service, and infrastructure.
Large PDFs and compiled binaries excluded via .gitignore.
2026-02-11 13:25:58 +01:00

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'use client'
/**
* AI Prompt Component
*
* Eingabezeile für Fragen an den lokalen Ollama-Server.
* Unterstützt Streaming-Antworten und automatische Modell-Erkennung.
*/
import { useState, useEffect, useRef } from 'react'
interface OllamaModel {
name: string
size: number
digest: string
}
export default function AiPrompt() {
const [prompt, setPrompt] = useState('')
const [response, setResponse] = useState('')
const [isLoading, setIsLoading] = useState(false)
const [models, setModels] = useState<OllamaModel[]>([])
const [selectedModel, setSelectedModel] = useState('llama3.2:latest')
const [showResponse, setShowResponse] = useState(false)
const textareaRef = useRef<HTMLTextAreaElement>(null)
const abortControllerRef = useRef<AbortController | null>(null)
// Lade verfügbare Modelle von Ollama
useEffect(() => {
const loadModels = async () => {
try {
const ollamaUrl = getOllamaBaseUrl()
const res = await fetch(`${ollamaUrl}/api/tags`)
if (res.ok) {
const data = await res.json()
if (data.models && data.models.length > 0) {
setModels(data.models)
setSelectedModel(data.models[0].name)
}
}
} catch (error) {
console.log('Ollama nicht erreichbar:', error)
}
}
loadModels()
}, [])
const getOllamaBaseUrl = () => {
if (typeof window !== 'undefined') {
if (window.location.hostname === 'macmini') {
return 'http://macmini:11434'
}
}
return 'http://localhost:11434'
}
const handleKeyDown = (e: React.KeyboardEvent) => {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault()
sendPrompt()
}
}
const autoResize = () => {
if (textareaRef.current) {
textareaRef.current.style.height = 'auto'
textareaRef.current.style.height = Math.min(textareaRef.current.scrollHeight, 120) + 'px'
}
}
const sendPrompt = async () => {
if (!prompt.trim() || isLoading) return
// Vorherige Anfrage abbrechen
if (abortControllerRef.current) {
abortControllerRef.current.abort()
}
abortControllerRef.current = new AbortController()
setIsLoading(true)
setResponse('')
setShowResponse(true)
try {
const ollamaUrl = getOllamaBaseUrl()
const res = await fetch(`${ollamaUrl}/api/generate`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
model: selectedModel,
prompt: prompt.trim(),
stream: true,
}),
signal: abortControllerRef.current.signal,
})
if (!res.ok) {
throw new Error(`Ollama Fehler: ${res.status}`)
}
const reader = res.body?.getReader()
const decoder = new TextDecoder()
let fullResponse = ''
if (reader) {
while (true) {
const { done, value } = await reader.read()
if (done) break
const chunk = decoder.decode(value)
const lines = chunk.split('\n').filter(l => l.trim())
for (const line of lines) {
try {
const data = JSON.parse(line)
if (data.response) {
fullResponse += data.response
setResponse(fullResponse)
}
} catch {
// Ignore JSON parse errors for partial chunks
}
}
}
}
} catch (error) {
if ((error as Error).name === 'AbortError') {
setResponse('Anfrage abgebrochen.')
} else {
console.error('AI Prompt Fehler:', error)
setResponse(`❌ Fehler: ${(error as Error).message}\n\nBitte prüfen Sie, ob Ollama läuft.`)
}
} finally {
setIsLoading(false)
abortControllerRef.current = null
}
}
const formatResponse = (text: string) => {
// Einfache Markdown-Formatierung
return text
.replace(/```(\w+)?\n([\s\S]*?)```/g, '<pre class="bg-slate-800 text-slate-100 p-3 rounded-lg my-2 overflow-x-auto text-sm"><code>$2</code></pre>')
.replace(/`([^`]+)`/g, '<code class="bg-slate-200 px-1.5 py-0.5 rounded text-sm">$1</code>')
.replace(/\*\*([^*]+)\*\*/g, '<strong>$1</strong>')
.replace(/\*([^*]+)\*/g, '<em>$1</em>')
.replace(/\n/g, '<br>')
}
return (
<div className="bg-gradient-to-br from-slate-50 to-slate-100 rounded-2xl border border-slate-200 p-5 mb-8 shadow-sm">
{/* Header */}
<div className="flex items-center gap-3 mb-4">
<div className="w-10 h-10 rounded-xl bg-gradient-to-br from-primary-600 to-primary-700 flex items-center justify-center text-white text-xl shadow-lg">
🤖
</div>
<div>
<h3 className="font-semibold text-slate-900">KI-Assistent</h3>
<p className="text-xs text-slate-500">Fragen Sie Ihren lokalen Ollama-Assistenten</p>
</div>
</div>
{/* Input */}
<div className="flex gap-3 items-end">
<textarea
ref={textareaRef}
value={prompt}
onChange={(e) => {
setPrompt(e.target.value)
autoResize()
}}
onKeyDown={handleKeyDown}
placeholder="Stellen Sie eine Frage... (z.B. 'Wie schreibe ich einen Elternbrief?' oder 'Erstelle mir einen Lückentext')"
rows={1}
className="flex-1 min-h-[44px] max-h-[120px] px-4 py-3 rounded-xl border border-slate-300 bg-white text-slate-900 text-sm resize-none focus:outline-none focus:ring-2 focus:ring-primary-500 focus:border-transparent placeholder:text-slate-400 transition-all"
/>
<button
onClick={sendPrompt}
disabled={isLoading || !prompt.trim()}
className={`w-11 h-11 rounded-xl flex items-center justify-center text-white text-lg transition-all shadow-lg ${
isLoading
? 'bg-slate-400 cursor-wait animate-pulse'
: 'bg-gradient-to-br from-primary-600 to-primary-700 hover:from-primary-700 hover:to-primary-800 hover:scale-105 disabled:opacity-50 disabled:cursor-not-allowed disabled:hover:scale-100'
}`}
>
{isLoading ? '⏳' : '➤'}
</button>
</div>
{/* Response */}
{showResponse && (
<div className="mt-4 p-4 bg-white rounded-xl border border-slate-200 shadow-inner">
<div className="flex items-center gap-2 text-xs text-slate-500 mb-3">
<span>🤖</span>
<span className="font-medium">{selectedModel}</span>
{isLoading && <span className="animate-pulse"> Generiert...</span>}
</div>
<div
className="text-sm text-slate-700 leading-relaxed prose prose-sm max-w-none"
dangerouslySetInnerHTML={{ __html: formatResponse(response) || '<span class="text-slate-400 italic">Warte auf Antwort...</span>' }}
/>
</div>
)}
{/* Model Selector */}
<div className="flex items-center gap-2 mt-4 pt-4 border-t border-slate-200">
<span className="text-xs text-slate-500">Modell:</span>
<select
value={selectedModel}
onChange={(e) => setSelectedModel(e.target.value)}
className="text-xs px-2 py-1.5 rounded-lg border border-slate-300 bg-white text-slate-700 focus:outline-none focus:ring-2 focus:ring-primary-500 cursor-pointer"
>
{models.length > 0 ? (
models.map((model) => (
<option key={model.name} value={model.name}>
{model.name}
</option>
))
) : (
<>
<option value="llama3.2:latest">Llama 3.2</option>
<option value="mistral:latest">Mistral</option>
<option value="qwen2.5:7b">Qwen 2.5</option>
</>
)}
</select>
{models.length === 0 && (
<span className="text-xs text-amber-600"> Ollama nicht verbunden</span>
)}
</div>
</div>
)
}