refactor(admin): split advisory-board page.tsx into colocated components
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -0,0 +1,105 @@
|
||||
'use client'
|
||||
|
||||
import React from 'react'
|
||||
import type { StepProps } from '../_types'
|
||||
import { HOSTING_PROVIDER_TILES, HOSTING_REGION_TILES, MODEL_USAGE_TILES } from '../_tiles'
|
||||
import { toggleInArray } from '../_data'
|
||||
|
||||
export function Step5Hosting({ form, updateForm }: StepProps) {
|
||||
return (
|
||||
<div className="space-y-6">
|
||||
<h2 className="text-lg font-semibold text-gray-900">Technische Details</h2>
|
||||
|
||||
{/* Hosting Provider */}
|
||||
<div>
|
||||
<h3 className="text-sm font-medium text-gray-700 mb-2">Hosting-Anbieter</h3>
|
||||
<div className="grid grid-cols-2 md:grid-cols-3 gap-3">
|
||||
{HOSTING_PROVIDER_TILES.map(item => (
|
||||
<button
|
||||
key={item.value}
|
||||
type="button"
|
||||
onClick={() => updateForm({ hosting_provider: item.value })}
|
||||
className={`p-3 rounded-xl border-2 text-left transition-all ${
|
||||
form.hosting_provider === item.value
|
||||
? 'border-purple-500 bg-purple-50 ring-1 ring-purple-300'
|
||||
: 'border-gray-200 hover:border-purple-300 hover:bg-gray-50'
|
||||
}`}
|
||||
>
|
||||
<div className="flex items-center gap-2 mb-1">
|
||||
<span className="text-lg">{item.icon}</span>
|
||||
<span className="text-sm font-medium text-gray-900">{item.label}</span>
|
||||
</div>
|
||||
<p className="text-xs text-gray-500 leading-tight">{item.desc}</p>
|
||||
</button>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Hosting Region */}
|
||||
<div>
|
||||
<h3 className="text-sm font-medium text-gray-700 mb-2">Hosting-Region</h3>
|
||||
<div className="grid grid-cols-2 md:grid-cols-4 gap-3">
|
||||
{HOSTING_REGION_TILES.map(item => (
|
||||
<button
|
||||
key={item.value}
|
||||
type="button"
|
||||
onClick={() => updateForm({ hosting_region: item.value })}
|
||||
className={`p-3 rounded-xl border-2 text-left transition-all ${
|
||||
form.hosting_region === item.value
|
||||
? 'border-purple-500 bg-purple-50 ring-1 ring-purple-300'
|
||||
: 'border-gray-200 hover:border-purple-300 hover:bg-gray-50'
|
||||
}`}
|
||||
>
|
||||
<div className="flex items-center gap-2 mb-1">
|
||||
<span className="text-lg">{item.icon}</span>
|
||||
<span className="text-sm font-medium text-gray-900">{item.label}</span>
|
||||
</div>
|
||||
<p className="text-xs text-gray-500 leading-tight">{item.desc}</p>
|
||||
</button>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Model Usage */}
|
||||
<div>
|
||||
<h3 className="text-sm font-medium text-gray-700 mb-1">Wie wird das KI-Modell genutzt?</h3>
|
||||
<p className="text-sm text-gray-500 mb-3">Waehlen Sie alle zutreffenden Optionen.</p>
|
||||
<div className="grid grid-cols-1 md:grid-cols-2 gap-3">
|
||||
{MODEL_USAGE_TILES.map(item => (
|
||||
<button
|
||||
key={item.value}
|
||||
type="button"
|
||||
onClick={() => updateForm({ model_usage: toggleInArray(form.model_usage, item.value) })}
|
||||
className={`p-3 rounded-xl border-2 text-left transition-all ${
|
||||
form.model_usage.includes(item.value)
|
||||
? 'border-purple-500 bg-purple-50 ring-1 ring-purple-300'
|
||||
: 'border-gray-200 hover:border-purple-300 hover:bg-gray-50'
|
||||
}`}
|
||||
>
|
||||
<div className="flex items-center gap-2 mb-1">
|
||||
<span className="text-lg">{item.icon}</span>
|
||||
<span className="text-sm font-medium text-gray-900">{item.label}</span>
|
||||
</div>
|
||||
<p className="text-xs text-gray-500 leading-tight">{item.desc}</p>
|
||||
</button>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Info-Box: Begriffe erklaert */}
|
||||
<details className="bg-amber-50 border border-amber-200 rounded-lg overflow-hidden">
|
||||
<summary className="px-4 py-3 text-sm font-medium text-amber-800 cursor-pointer hover:bg-amber-100">
|
||||
Begriffe erklaert: ML, DL, NLP, LLM — Was bedeutet das?
|
||||
</summary>
|
||||
<div className="px-4 pb-4 space-y-3 text-sm text-amber-900">
|
||||
<div><span className="font-semibold">ML (Machine Learning)</span> — Computer lernt Muster aus Daten. Beispiel: Spam-Filter.</div>
|
||||
<div><span className="font-semibold">DL (Deep Learning)</span> — ML mit neuronalen Netzen. Beispiel: Bilderkennung, Spracherkennung.</div>
|
||||
<div><span className="font-semibold">NLP (Natural Language Processing)</span> — KI versteht Sprache. Beispiel: ChatGPT, DeepL.</div>
|
||||
<div><span className="font-semibold">LLM (Large Language Model)</span> — Grosses Sprachmodell. Beispiel: GPT-4, Claude, Llama.</div>
|
||||
<div><span className="font-semibold">RAG</span> — LLM erhaelt Kontext aus eigener Datenbank. Vorteil: Aktuelle, firmenspezifische Antworten.</div>
|
||||
<div><span className="font-semibold">Fine-Tuning</span> — Bestehendes Modell mit eigenen Daten weitertrainieren. Achtung: Daten werden Teil des Modells.</div>
|
||||
</div>
|
||||
</details>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
Reference in New Issue
Block a user