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Author SHA1 Message Date
2d4919cc1f feat: add modular dynamic PDF generation for Payload pages
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2026-03-05 13:53:59 +01:00
23 changed files with 522 additions and 2431 deletions

38
.env Normal file
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@@ -0,0 +1,38 @@
# Application
NODE_ENV=production
NEXT_PUBLIC_BASE_URL=https://klz-cables.com
UMAMI_WEBSITE_ID=e4a2cd1c-59fb-4e5b-bac5-9dfd1d02dd81
UMAMI_API_ENDPOINT=https://analytics.infra.mintel.me
SENTRY_DSN=https://c10957d0182245b1a2a806ac2d34a197@errors.infra.mintel.me/1
LOG_LEVEL=info
NEXT_PUBLIC_FEEDBACK_ENABLED=false
NEXT_PUBLIC_RECORD_MODE_ENABLED=false
NPM_TOKEN=263e7f75d8ada27f3a2e71fd6bd9d95298d48a4d
# SMTP Configuration
MAIL_HOST=smtp.eu.mailgun.org
MAIL_PORT=587
MAIL_USERNAME=postmaster@mg.mintel.me
MAIL_PASSWORD=4592fcb94599ee1a45b4ac2386fd0a64-102c75d8-ca2870e6
MAIL_FROM="KLZ Cables <postmaster@mg.mintel.me>"
MAIL_RECIPIENTS=marc@cablecreations.de,info@klz-cables.com
# ────────────────────────────────────────────────────────────────────────────
# Payload Infrastructure (Dockerized)
# ────────────────────────────────────────────────────────────────────────────
# The POSTGRES_URI and PAYLOAD_SECRET are automatically constructed and injected
# by docker-compose.yml using these base DB credentials, so you don't need to
# manually write the connection strings here.
PAYLOAD_DB_NAME=payload
PAYLOAD_DB_USER=payload
PAYLOAD_DB_PASSWORD=120in09oenaoinsd9iaidon
# ────────────────────────────────────────────────────────────────────────────
# Hetzner S3 Object Storage
# ────────────────────────────────────────────────────────────────────────────
S3_ENDPOINT=https://fsn1.your-objectstorage.com
S3_ACCESS_KEY=ROB3MSWMEIGRL7N94ZKS
S3_SECRET_KEY=9QJV3NE8xeLxhyufhNU7lsUB0RffJxPhGuEuFSH3
S3_BUCKET=mintel
S3_REGION=fsn1
S3_PREFIX=klz-cables

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@@ -83,7 +83,7 @@ jobs:
SLUG=$(echo "$REF" | tr '[:upper:]' '[:lower:]' | sed 's/[^a-z0-9]/-/g' | sed 's/--*/-/g' | sed 's/^-//;s/-$//')
IMAGE_TAG="branch-${SLUG}-${SHORT_SHA}"
ENV_FILE=".env.branch-${SLUG}"
TRAEFIK_HOST="${SLUG}.branch.${DOMAIN}"
TRAEFIK_HOST="${SLUG}.branch.mintel.me"
fi
# Standardize Traefik Rule (escaped backticks for Traefik v3)
@@ -261,12 +261,6 @@ jobs:
# Analytics
UMAMI_WEBSITE_ID: ${{ secrets.UMAMI_WEBSITE_ID || vars.UMAMI_WEBSITE_ID }}
UMAMI_API_ENDPOINT: ${{ secrets.UMAMI_API_ENDPOINT || vars.UMAMI_API_ENDPOINT || 'https://analytics.infra.mintel.me' }}
# Search & AI
OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY || vars.OPENROUTER_API_KEY }}
QDRANT_URL: ${{ secrets.QDRANT_URL || vars.QDRANT_URL || 'http://klz-qdrant:6333' }}
QDRANT_API_KEY: ${{ secrets.QDRANT_API_KEY || vars.QDRANT_API_KEY }}
REDIS_URL: ${{ secrets.REDIS_URL || vars.REDIS_URL || 'redis://klz-redis:6379' }}
steps:
- name: Checkout repository
uses: actions/checkout@v4
@@ -325,12 +319,6 @@ jobs:
echo "UMAMI_WEBSITE_ID=$UMAMI_WEBSITE_ID"
echo "UMAMI_API_ENDPOINT=$UMAMI_API_ENDPOINT"
echo ""
echo "# Search & AI"
echo "OPENROUTER_API_KEY=$OPENROUTER_API_KEY"
echo "QDRANT_URL=$QDRANT_URL"
echo "QDRANT_API_KEY=$QDRANT_API_KEY"
echo "REDIS_URL=$REDIS_URL"
echo ""
echo "TARGET=$TARGET"
echo "SENTRY_ENVIRONMENT=$TARGET"
echo "PROJECT_NAME=$PROJECT_NAME"

2
.gitignore vendored
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@@ -28,5 +28,3 @@ html-errors*.json
reference/
# Database backups
backups/
.env

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@@ -134,13 +134,13 @@ export default async function BlogPost({ params }: BlogPostProps) {
<span>{getReadingTime(rawTextContent)} min read</span>
{(new Date(post.frontmatter.date) > new Date() ||
post.frontmatter.public === false) && (
<>
<span className="w-1 h-1 bg-white/30 rounded-full" />
<span className="px-2 py-0.5 border border-white/40 text-white/80 rounded uppercase tracking-widest text-[10px] md:text-xs font-bold">
Draft Preview
</span>
</>
)}
<>
<span className="w-1 h-1 bg-white/30 rounded-full" />
<span className="px-2 py-0.5 border border-white/40 text-white/80 rounded uppercase tracking-widest text-[10px] md:text-xs font-bold">
Draft Preview
</span>
</>
)}
</div>
</div>
</div>
@@ -171,13 +171,13 @@ export default async function BlogPost({ params }: BlogPostProps) {
<span>{getReadingTime(rawTextContent)} min read</span>
{(new Date(post.frontmatter.date) > new Date() ||
post.frontmatter.public === false) && (
<>
<span className="w-1 h-1 bg-neutral-300 rounded-full" />
<span className="px-2 py-0.5 border border-orange-500/50 text-orange-600 rounded uppercase tracking-widest text-[10px] md:text-xs font-bold">
Draft Preview
</span>
</>
)}
<>
<span className="w-1 h-1 bg-neutral-300 rounded-full" />
<span className="px-2 py-0.5 border border-orange-500/50 text-orange-600 rounded uppercase tracking-widest text-[10px] md:text-xs font-bold">
Draft Preview
</span>
</>
)}
</div>
</div>
</header>

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@@ -1,157 +0,0 @@
import { NextResponse, NextRequest } from 'next/server'; // Added NextRequest
import { searchProducts } from '../../../src/lib/qdrant';
import redis from '../../../src/lib/redis';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';
// Config and constants
const RATE_LIMIT_POINTS = 5; // 5 requests
const RATE_LIMIT_DURATION = 60 * 1; // per 1 minute
// Removed requestSchema as it's replaced by direct parsing
export async function POST(req: NextRequest) {
// Changed req type to NextRequest
try {
const { messages, visitorId, honeypot } = await req.json();
// 1. Basic Validation
if (!messages || !Array.isArray(messages) || messages.length === 0) {
return NextResponse.json({ error: 'Valid messages array is required' }, { status: 400 });
}
const latestMessage = messages[messages.length - 1].content;
const isBot = honeypot && honeypot.length > 0;
// Check if the input itself is obviously spam/too long
if (latestMessage.length > 500) {
return NextResponse.json({ error: 'Message too long' }, { status: 400 });
}
// 2. Honeypot check
if (isBot) {
console.warn('Honeypot triggered in AI search');
// Tarpit the bot
await new Promise((resolve) => setTimeout(resolve, 3000));
return NextResponse.json({
answerText: 'Vielen Dank für Ihre Anfrage.',
products: [],
});
}
// 3. Rate Limiting via Redis
try {
if (visitorId) {
const requestCount = await redis.incr(`ai_search_rate_limit:${visitorId}`);
if (requestCount === 1) {
await redis.expire(`ai_search_rate_limit:${visitorId}`, RATE_LIMIT_DURATION); // Use constant
}
if (requestCount > RATE_LIMIT_POINTS) {
// Use constant
return NextResponse.json(
{
error: 'Rate limit exceeded. Please try again later.',
},
{ status: 429 },
);
}
}
} catch (redisError) {
// Renamed variable for clarity
console.error('Redis Rate Limiting Error:', redisError); // Changed to error for consistency
Sentry.captureException(redisError, { tags: { context: 'ai-search-rate-limit' } });
// Fail open if Redis is down
}
// 4. Fetch Context from Qdrant based on the latest message
let contextStr = '';
let foundProducts: any[] = [];
try {
const searchResults = await searchProducts(latestMessage, 5);
if (searchResults && searchResults.length > 0) {
const productDescriptions = searchResults
.filter((p) => p.payload?.type === 'product' || !p.payload?.type)
.map((p: any) => p.payload?.content)
.join('\n\n');
const knowledgeDescriptions = searchResults
.filter((p) => p.payload?.type === 'knowledge')
.map((p: any) => p.payload?.content)
.join('\n\n');
contextStr = `KATALOG & PRODUKTE:\n${productDescriptions}\n\nKABELWISSEN (Handbuch):\n${knowledgeDescriptions}`;
foundProducts = searchResults
.filter((p) => (p.payload?.type === 'product' || !p.payload?.type) && p.payload?.data)
.map((p: any) => p.payload?.data);
}
} catch (e) {
console.error('Qdrant Search Error:', e);
Sentry.captureException(e, { tags: { context: 'ai-search-qdrant' } });
// We can still proceed without context if Qdrant fails
}
// 5. Generate AI Response via OpenRouter (Mistral for DSGVO)
const systemPrompt = `Du bist ein professioneller und extrem kompetenter Sales-Engineer / Consultant der Firma "KLZ Cables".
Deine Aufgabe ist es, Kunden und Interessenten bei der Auswahl von Mittelspannungskabeln, Starkstromkabeln und Infrastrukturausrüstung beratend zur Seite zu stehen.
WICHTIGE REGELN:
1. ANTWORTE IMMER IN DER SPRACHE DES BENUTZERS. Wenn der Benutzer Deutsch spricht, antworte auf Deutsch.
2. Wenn der Kunde vage ist (z.B. "Ich will einen Windpark bauen"), würge ihn NICHT ab. Stelle stattdessen gezielte, professionelle Rückfragen als Berater (z.B. "Für einen Windpark benötigen wir einige Rahmendaten: Reden wir über die Parkverkabelung (Mittelspannung, z.B. 20kV oder 33kV) oder die Netzanbindung? Welche Querschnitte oder Ströme erwarten Sie?").
3. Nutze das bereitgestellte KABELWISSEN und KATALOG-Gedächtnis unten, um deine Antworten zu fundieren.
4. Bleibe stets professionell, lösungsorientiert und leicht technisch (Industrial Aesthetic). Du kannst humorvoll sein, wenn der Nutzer offensichtlich Quatsch fragt, aber lenke es immer elegant zurück zu Kabeln oder Energieinfrastruktur.
5. Antworte in reinem Text (kein Markdown für die Antwort, es sei denn es sind einfache Absätze oder Listen).
6. Wenn genügend Informationen vorhanden sind, präsentiere passende Kabel aus dem Katalog.
7. Oute dich als Berater von KLZ Cables.
VERFÜGBARER KONTEXT:
${contextStr ? contextStr : 'Keine spezifischen Katalogdaten für diese Anfrage gefunden.'}
`;
const openRouterKey = process.env.OPENROUTER_API_KEY;
if (!openRouterKey) {
throw new Error('OPENROUTER_API_KEY is not set');
}
const fetchRes = await fetch('https://openrouter.ai/api/v1/chat/completions', {
method: 'POST',
headers: {
Authorization: `Bearer ${openRouterKey}`,
'Content-Type': 'application/json',
'HTTP-Referer': process.env.NEXT_PUBLIC_BASE_URL || 'https://klz-cables.com',
'X-Title': 'KLZ Cables Search AI',
},
body: JSON.stringify({
model: 'mistralai/mistral-large-2407',
temperature: 0.3,
messages: [
{ role: 'system', content: systemPrompt },
...messages.map((m: any) => ({
role: m.role,
content: typeof m.content === 'string' ? m.content : JSON.stringify(m.content),
})),
],
}),
});
if (!fetchRes.ok) {
const errBody = await fetchRes.text();
throw new Error(`OpenRouter API Error: ${errBody}`);
}
const data = await fetchRes.json();
const text = data.choices[0].message.content;
// Return the AI's answer along with any found products
return NextResponse.json({
answerText: text,
products: foundProducts,
});
} catch (error) {
console.error('AI Search API Error:', error);
Sentry.captureException(error, { tags: { context: 'ai-search-api' } });
return NextResponse.json({ error: 'Internal server error' }, { status: 500 });
}
}

View File

@@ -27,7 +27,7 @@ export async function GET() {
}
}
const hasErrors = Object.values(checks).some((v) => v.startsWith('error'));
const hasErrors = Object.values(checks).some(v => v.startsWith('error'));
return NextResponse.json(
{ status: hasErrors ? 'degraded' : 'ok', checks },
{ status: hasErrors ? 503 : 200 },

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@@ -0,0 +1,64 @@
import { NextRequest, NextResponse } from 'next/server';
import { getPayload } from 'payload';
import configPromise from '@payload-config';
import { renderToStream } from '@react-pdf/renderer';
import React from 'react';
import { PDFPage } from '@/lib/pdf-page';
export async function GET(req: NextRequest, { params }: { params: Promise<{ slug: string }> }) {
try {
const { slug } = await params;
// Get Payload App
const payload = await getPayload({ config: configPromise });
// Fetch the page
const pages = await payload.find({
collection: 'pages',
where: {
slug: { equals: slug },
_status: { equals: 'published' },
},
limit: 1,
});
if (pages.totalDocs === 0) {
return new NextResponse('Page not found', { status: 404 });
}
const page = pages.docs[0];
// Determine locale from searchParams or default to 'de'
const searchParams = req.nextUrl.searchParams;
const locale = (searchParams.get('locale') as 'en' | 'de') || 'de';
// Render the React-PDF document into a stream
const stream = await renderToStream(<PDFPage page={page} locale={locale} />);
// Pipe the Node.js Readable stream into a valid fetch/Web Response stream
const body = new ReadableStream({
start(controller) {
stream.on('data', (chunk) => controller.enqueue(chunk));
stream.on('end', () => controller.close());
stream.on('error', (err) => controller.error(err));
},
cancel() {
(stream as any).destroy?.();
},
});
const filename = `${slug}.pdf`;
return new NextResponse(body, {
status: 200,
headers: {
'Content-Type': 'application/pdf',
'Content-Disposition': `attachment; filename="${filename}"`,
// Cache control if needed, skip for now.
},
});
} catch (error) {
console.error('Error generating PDF:', error);
return new NextResponse('Internal Server Error', { status: 500 });
}
}

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@@ -3,7 +3,6 @@
import Link from 'next/link';
import Image from 'next/image';
import { useTranslations, useLocale } from 'next-intl';
import { ShieldCheck, Leaf, Lock, Accessibility, Zap } from 'lucide-react';
import { Container } from './ui';
import { useAnalytics } from './analytics/useAnalytics';
import { AnalyticsEvents } from './analytics/analytics-events';
@@ -277,48 +276,6 @@ export default function Footer() {
</Link>
</div>
</div>
{/* Brand & Quality Sub-Footer */}
<div className="pt-8 mt-8 border-t border-white/5 flex flex-col md:flex-row justify-between items-center gap-6 text-white/40 text-[10px] sm:text-xs">
<div>
<a
href="https://mintel.me"
target="_blank"
rel="noopener noreferrer"
onClick={() =>
trackEvent(AnalyticsEvents.LINK_CLICK, {
target: 'mintel_agency',
location: 'sub_footer',
})
}
className="hover:text-white/80 transition-colors flex items-center gap-1.5"
>
Website entwickelt von Marc Mintel
</a>
</div>
<div className="flex flex-wrap justify-center md:justify-end gap-x-6 gap-y-3">
<div className="flex items-center gap-1.5" title="SSL Secured">
<ShieldCheck className="w-3.5 h-3.5" />
<span>SSL Secured</span>
</div>
<div className="flex items-center gap-1.5" title="Green Hosting">
<Leaf className="w-3.5 h-3.5" />
<span>Green Hosting</span>
</div>
<div className="flex items-center gap-1.5" title="DSGVO Compliant">
<Lock className="w-3.5 h-3.5" />
<span>DSGVO Compliant</span>
</div>
<div className="flex items-center gap-1.5" title="WCAG">
<Accessibility className="w-3.5 h-3.5" />
<span>WCAG</span>
</div>
<div className="flex items-center gap-1.5" title="PageSpeed 90+">
<Zap className="w-3.5 h-3.5" />
<span>PageSpeed 90+</span>
</div>
</div>
</div>
</Container>
</footer>
);

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@@ -9,8 +9,6 @@ import { useEffect, useState, useRef } from 'react';
import { cn } from './ui';
import { useAnalytics } from './analytics/useAnalytics';
import { AnalyticsEvents } from './analytics/analytics-events';
import { Search } from 'lucide-react';
import { AISearchResults } from './search/AISearchResults';
export default function Header() {
const t = useTranslations('Navigation');
@@ -18,7 +16,6 @@ export default function Header() {
const { trackEvent } = useAnalytics();
const [isScrolled, setIsScrolled] = useState(false);
const [isMobileMenuOpen, setIsMobileMenuOpen] = useState(false);
const [isSearchOpen, setIsSearchOpen] = useState(false);
const mobileMenuRef = useRef<HTMLDivElement>(null);
// Extract locale from pathname
@@ -276,19 +273,6 @@ export default function Header() {
<div
className="animate-in fade-in zoom-in-95 fill-mode-both"
style={{ animationDuration: '600ms', animationDelay: '700ms' }}
>
<button
onClick={() => setIsSearchOpen(true)}
className="hover:text-accent transition-colors p-2"
aria-label="Search"
>
<Search className="w-5 h-5 md:w-6 md:h-6" />
</button>
</div>
<div
className="animate-in fade-in zoom-in-95 fill-mode-both"
style={{ animationDuration: '600ms', animationDelay: '800ms' }}
>
<Button
href={`/${currentLocale}/${currentLocale === 'de' ? 'kontakt' : 'contact'}`}
@@ -483,8 +467,6 @@ export default function Header() {
</div>
</nav>
</div>
<AISearchResults isOpen={isSearchOpen} onClose={() => setIsSearchOpen(false)} />
</>
);
}

View File

@@ -1,15 +1,10 @@
'use client';
import Scribble from '@/components/Scribble';
import { Button, Container, Heading, Section } from '@/components/ui';
import { useTranslations, useLocale } from 'next-intl';
import dynamic from 'next/dynamic';
import { useAnalytics } from '../analytics/useAnalytics';
import { AnalyticsEvents } from '../analytics/analytics-events';
import AIOrb from '../search/AIOrb';
import { useState } from 'react';
import { ChevronRight } from 'lucide-react';
import { AISearchResults } from '../search/AISearchResults';
const HeroIllustration = dynamic(() => import('./HeroIllustration'), { ssr: false });
export default function Hero({ data }: { data?: any }) {
@@ -17,148 +12,87 @@ export default function Hero({ data }: { data?: any }) {
const locale = useLocale();
const { trackEvent } = useAnalytics();
const [searchQuery, setSearchQuery] = useState('');
const [isSearchOpen, setIsSearchOpen] = useState(false);
const handleSearchSubmit = (e: React.FormEvent) => {
e.preventDefault();
if (searchQuery.trim()) {
setIsSearchOpen(true);
}
};
return (
<>
<Section className="relative min-h-[85vh] md:h-[90vh] flex flex-col items-center justify-center overflow-hidden bg-primary py-12 md:py-0 lg:py-0">
<Container className="relative z-10 text-center md:text-left text-white w-full order-2 md:order-none">
<div className="max-w-5xl mx-auto md:mx-0">
<div>
<Heading
level={1}
className="text-center md:text-left mb-6 md:mb-8 md:max-w-none text-white text-4xl sm:text-5xl md:text-7xl font-extrabold [text-shadow:_-2px_-2px_0_#002b49,_2px_-2px_0_#002b49,_-2px_2px_0_#002b49,_2px_2px_0_#002b49,_-2px_0_0_#002b49,_2px_0_0_#002b49,_0_-2px_0_#002b49,_0_2px_0_#002b49]"
>
{data?.title ? (
<span
dangerouslySetInnerHTML={{
__html: data.title
.replace(
/<green>/g,
'<span class="relative inline-block"><span class="relative z-10 text-accent italic inline-block">',
)
.replace(
/<\/green>/g,
'</span><div class="w-[140%] h-[140%] -top-[20%] -left-[20%] text-accent/30 hidden md:block absolute -z-10 animate-in fade-in zoom-in-0 duration-1000 ease-out fill-mode-both" style="animation-delay: 500ms;"><Scribble variant="circle" /></div></span>',
),
}}
/>
) : (
t.rich('title', {
green: (chunks) => (
<span className="relative inline-block">
<span className="relative z-10 text-accent italic inline-block">
{chunks}
</span>
<div
className="w-[140%] h-[140%] -top-[20%] -left-[20%] text-accent/30 hidden md:block absolute -z-10 animate-in fade-in zoom-in-0 duration-1000 ease-out fill-mode-both"
style={{ animationDelay: '500ms' }}
>
<Scribble variant="circle" />
</div>
</span>
),
})
)}
</Heading>
</div>
<div>
<p className="text-lg md:text-xl text-white leading-relaxed max-w-2xl mb-10 md:mb-12">
{data?.subtitle || t('subtitle')}
</p>
</div>
<form
onSubmit={handleSearchSubmit}
className="w-full max-w-2xl bg-white/10 backdrop-blur-md border border-white/20 rounded-2xl p-2 flex items-center mt-8 mb-10 transition-all focus-within:bg-white/15 focus-within:border-accent shadow-lg relative"
<Section className="relative min-h-[85vh] md:h-[90vh] flex flex-col items-center justify-center overflow-hidden bg-primary py-12 md:py-0 lg:py-0">
<Container className="relative z-10 text-center md:text-left text-white w-full order-2 md:order-none">
<div className="max-w-5xl mx-auto md:mx-0">
<div>
<Heading
level={1}
className="text-center md:text-left mb-6 md:mb-8 md:max-w-none text-white text-3xl sm:text-4xl md:text-5xl font-extrabold"
>
<div className="absolute left-2 w-12 h-12 flex items-center justify-center opacity-80 pointer-events-none">
<AIOrb isThinking={false} />
</div>
<input
type="text"
value={searchQuery}
onChange={(e) => setSearchQuery(e.target.value)}
placeholder="Projekt beschreiben oder Kabel suchen..."
className="flex-1 bg-transparent border-none text-white pl-12 pr-2 py-4 placeholder:text-white/50 focus:outline-none text-lg lg:text-xl"
/>
{data?.title ? (
<span
dangerouslySetInnerHTML={{
__html: data.title
.replace(/<green>/g, '<span class="text-accent italic">')
.replace(/<\/green>/g, '</span>'),
}}
/>
) : (
t.rich('title', {
green: (chunks) => <span className="text-accent italic">{chunks}</span>,
})
)}
</Heading>
</div>
<div>
<p className="text-lg md:text-xl text-white leading-relaxed max-w-2xl mb-10 md:mb-12">
{data?.subtitle || t('subtitle')}
</p>
</div>
<div className="flex flex-col sm:flex-row justify-center md:justify-start gap-4 md:gap-6">
<div>
<Button
type="submit"
href="/contact"
variant="accent"
size="lg"
className="rounded-xl px-6 py-4 shrink-0 flex items-center shadow-md font-bold cursor-pointer hover:bg-accent hover:brightness-110"
className="group w-full sm:w-auto h-14 md:h-16 px-8 md:px-10 text-base md:text-lg hover:scale-105 transition-transform"
onClick={() =>
trackEvent(AnalyticsEvents.BUTTON_CLICK, {
label: data?.ctaLabel || t('cta'),
location: 'home_hero_primary',
})
}
>
Fragen
<ChevronRight className="w-5 h-5 ml-2 -mr-1" />
{data?.ctaLabel || t('cta')}
<span className="transition-transform group-hover/btn:translate-x-1 ml-2">
&rarr;
</span>
</Button>
</div>
<div>
<Button
href={`/${locale}/${locale === 'de' ? 'produkte' : 'products'}`}
variant="white"
size="lg"
className="group w-full sm:w-auto h-14 md:h-16 px-8 md:px-10 text-base md:text-lg md:bg-white md:text-primary md:hover:bg-neutral-light md:border-none hover:scale-105 transition-transform"
onClick={() =>
trackEvent(AnalyticsEvents.BUTTON_CLICK, {
label: data?.secondaryCtaLabel || t('exploreProducts'),
location: 'home_hero_secondary',
})
}
>
{data?.secondaryCtaLabel || t('exploreProducts')}
</Button>
</form>
<div className="flex flex-col sm:flex-row justify-center md:justify-start gap-4 md:gap-6">
<div>
<Button
href="/contact"
variant="white"
size="lg"
className="group w-full sm:w-auto h-14 md:h-16 px-8 md:px-10 text-base md:text-lg hover:scale-105 transition-all outline-none"
onClick={() =>
trackEvent(AnalyticsEvents.BUTTON_CLICK, {
label: data?.ctaLabel || t('cta'),
location: 'home_hero_primary',
})
}
>
{data?.ctaLabel || t('cta')}
<span className="transition-transform group-hover/btn:translate-x-1 ml-2">
&rarr;
</span>
</Button>
</div>
<div>
<Button
href={`/${locale}/${locale === 'de' ? 'produkte' : 'products'}`}
variant="outline"
size="lg"
className="group w-full sm:w-auto h-14 md:h-16 px-8 md:px-10 text-base md:text-lg text-white border-white/30 hover:bg-white/10 hover:border-white transition-all"
onClick={() =>
trackEvent(AnalyticsEvents.BUTTON_CLICK, {
label: data?.secondaryCtaLabel || t('exploreProducts'),
location: 'home_hero_secondary',
})
}
>
{data?.secondaryCtaLabel || t('exploreProducts')}
</Button>
</div>
</div>
</div>
</Container>
<div className="relative md:absolute inset-0 z-0 w-full h-[40vh] md:h-full order-1 md:order-none mb-[-80px] md:mb-0 mt-[80px] md:mt-0 overflow-visible pointer-events-none animate-in fade-in zoom-in-95 duration-1000 ease-out fill-mode-both">
<HeroIllustration />
</div>
</Container>
<div
className="absolute bottom-6 md:bottom-10 left-1/2 -translate-x-1/2 hidden sm:block animate-in fade-in slide-in-from-bottom-4 duration-1000 ease-out fill-mode-both"
style={{ animationDelay: '2000ms' }}
>
<div className="w-6 h-10 border-2 border-white/30 rounded-full flex justify-center p-1">
<div className="w-1 h-2 bg-white rounded-full animate-bounce" />
</div>
<div className="relative md:absolute inset-0 z-0 w-full h-[40vh] md:h-full order-1 md:order-none mb-[-80px] md:mb-0 mt-[80px] md:mt-0 overflow-visible pointer-events-none animate-in fade-in zoom-in-95 duration-1000 ease-out fill-mode-both">
<HeroIllustration />
</div>
<div
className="absolute bottom-6 md:bottom-10 left-1/2 -translate-x-1/2 hidden sm:block animate-in fade-in slide-in-from-bottom-4 duration-1000 ease-out fill-mode-both"
style={{ animationDelay: '2000ms' }}
>
<div className="w-6 h-10 border-2 border-white/30 rounded-full flex justify-center p-1">
<div className="w-1 h-2 bg-white rounded-full animate-bounce" />
</div>
</Section>
<AISearchResults
isOpen={isSearchOpen}
onClose={() => setIsSearchOpen(false)}
initialQuery={searchQuery}
triggerSearch={true}
/>
</>
</div>
</Section>
);
}

View File

@@ -1,88 +0,0 @@
/* eslint-disable react/no-unknown-property */
'use client';
import React, { useRef } from 'react';
import { Canvas, useFrame } from '@react-three/fiber';
import { Sphere, MeshDistortMaterial, Environment, Float } from '@react-three/drei';
import * as THREE from 'three';
interface AIOrbProps {
isThinking: boolean;
}
function Orb({ isThinking }: AIOrbProps) {
const meshRef = useRef<THREE.Mesh>(null);
const materialRef = useRef<any>(null);
// Dynamic properties based on state
const targetDistort = isThinking ? 0.6 : 0.3;
const targetSpeed = isThinking ? 5 : 2;
const color = isThinking ? '#00FF88' : '#00A3FF'; // Green/Blue based on thinking state
useFrame((state) => {
if (!materialRef.current) return;
// Smoothly interpolate material properties
materialRef.current.distort = THREE.MathUtils.lerp(
materialRef.current.distort,
targetDistort,
0.1,
);
materialRef.current.speed = THREE.MathUtils.lerp(materialRef.current.speed, targetSpeed, 0.1);
// Smooth color transition
const currentColor = materialRef.current.color;
const targetColorObj = new THREE.Color(color);
currentColor.lerp(targetColorObj, 0.05);
// Slow rotation
if (meshRef.current) {
meshRef.current.rotation.x = state.clock.getElapsedTime() * 0.2;
meshRef.current.rotation.y = state.clock.getElapsedTime() * 0.3;
}
});
return (
<Float
speed={isThinking ? 4 : 2}
rotationIntensity={isThinking ? 2 : 1}
floatIntensity={isThinking ? 2 : 1}
>
<Sphere ref={meshRef} args={[1, 64, 64]} scale={1.5}>
<MeshDistortMaterial
ref={materialRef}
color="#00A3FF"
envMapIntensity={2}
clearcoat={1}
clearcoatRoughness={0}
metalness={0.8}
roughness={0.1}
distort={0.3}
speed={2}
/>
</Sphere>
</Float>
);
}
export default function AIOrb({ isThinking = false }: AIOrbProps) {
return (
<div className="w-full h-full min-w-[32px] min-h-[32px] relative flex items-center justify-center">
{/* Ambient glow effect behind the orb */}
<div
className={`absolute inset-0 rounded-full blur-xl opacity-50 transition-colors duration-1000 ${isThinking ? 'bg-[#00FF88]/50' : 'bg-[#00A3FF]/40'}`}
/>
<Canvas
camera={{ position: [0, 0, 4], fov: 45 }}
className="w-full h-full cursor-pointer z-10 block"
>
<ambientLight intensity={0.5} />
<directionalLight position={[10, 10, 5]} intensity={1.5} />
<directionalLight position={[-10, -10, -5]} intensity={0.5} color="#00FF88" />
<Orb isThinking={isThinking} />
<Environment preset="city" />
</Canvas>
</div>
);
}

View File

@@ -1,323 +0,0 @@
'use client';
import { useState, useRef, useEffect, KeyboardEvent } from 'react';
import { Search, X, Sparkles, ChevronRight, MessageSquareWarning } from 'lucide-react';
import Link from 'next/link';
import { useAnalytics } from '../analytics/useAnalytics';
import { AnalyticsEvents } from '../analytics/analytics-events';
import ReactMarkdown from 'react-markdown';
import remarkGfm from 'remark-gfm';
import AIOrb from './AIOrb';
interface ProductMatch {
id: string;
title: string;
sku: string;
slug: string;
}
interface Message {
role: 'user' | 'assistant';
content: string;
products?: ProductMatch[];
}
interface ComponentProps {
isOpen: boolean;
onClose: () => void;
initialQuery?: string;
triggerSearch?: boolean; // If true, immediately searches on mount with initialQuery
}
export function AISearchResults({
isOpen,
onClose,
initialQuery = '',
triggerSearch = false,
}: ComponentProps) {
const { trackEvent } = useAnalytics();
const [query, setQuery] = useState('');
const [messages, setMessages] = useState<Message[]>([]);
const [honeypot, setHoneypot] = useState('');
const [isLoading, setIsLoading] = useState(false);
const [error, setError] = useState<string | null>(null);
const inputRef = useRef<HTMLInputElement>(null);
const modalRef = useRef<HTMLDivElement>(null);
const messagesEndRef = useRef<HTMLDivElement>(null);
useEffect(() => {
if (isOpen) {
document.body.style.overflow = 'hidden';
setTimeout(() => inputRef.current?.focus(), 100);
if (triggerSearch && initialQuery && messages.length === 0) {
setQuery(initialQuery);
handleSearch(initialQuery);
} else if (!triggerSearch) {
setQuery('');
}
} else {
document.body.style.overflow = 'unset';
setQuery('');
setMessages([]);
setError(null);
setIsLoading(false);
}
return () => {
document.body.style.overflow = 'unset';
};
}, [isOpen, triggerSearch]);
useEffect(() => {
if (isOpen && initialQuery && messages.length === 0) {
setQuery(initialQuery);
}
}, [initialQuery, isOpen]);
useEffect(() => {
// Auto-scroll to bottom of chat
messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' });
}, [messages, isLoading]);
const handleSearch = async (searchQuery: string = query) => {
if (!searchQuery.trim() || isLoading) return;
const newUserMessage: Message = { role: 'user', content: searchQuery };
const newMessagesContext = [...messages, newUserMessage];
setMessages(newMessagesContext);
setQuery('');
setIsLoading(true);
setError(null);
trackEvent(AnalyticsEvents.FORM_SUBMIT, {
type: 'ai_search',
query: searchQuery,
});
try {
const res = await fetch('/api/ai-search', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
messages: newMessagesContext,
_honeypot: honeypot,
}),
});
const data = await res.json();
if (!res.ok) {
throw new Error(data.error || 'Failed to fetch search results');
}
setMessages((prev) => [
...prev,
{
role: 'assistant',
content: data.answerText,
products: data.products,
},
]);
// Re-focus input after response so user can continue typing easily
setTimeout(() => inputRef.current?.focus(), 100);
} catch (err: any) {
console.error(err);
setError(err.message || 'An error occurred while chatting. Please try again.');
trackEvent(AnalyticsEvents.ERROR, {
location: 'ai_search_results',
message: err.message,
query: searchQuery,
});
} finally {
setIsLoading(false);
}
};
const onKeyDown = (e: KeyboardEvent<HTMLInputElement>) => {
if (e.key === 'Enter') {
e.preventDefault();
handleSearch();
}
if (e.key === 'Escape') {
onClose();
}
};
if (!isOpen) return null;
// Handle clicking outside to close
const handleBackdropClick = (e: React.MouseEvent) => {
if (e.target === e.currentTarget) {
onClose();
}
};
return (
<div
className="fixed inset-0 z-[100] flex items-start justify-center pt-16 md:pt-24 px-4 bg-primary/95 backdrop-blur-xl transition-all duration-300 animate-in fade-in"
onClick={handleBackdropClick}
role="dialog"
aria-modal="true"
>
<div
ref={modalRef}
className="relative w-full max-w-4xl bg-[#002b49]/90 border border-white/10 rounded-3xl shadow-2xl shadow-black/50 overflow-hidden flex flex-col h-[75vh] animate-in slide-in-from-bottom-10"
>
{/* Header */}
<div className="p-4 md:p-6 flex items-center justify-between border-b border-white/10 relative z-10 bg-[#001c30]">
<div className="flex items-center">
<Sparkles className="w-5 h-5 text-accent mr-3" />
<h2 className="text-white font-bold tracking-widest uppercase text-sm">
KLZ AI Consultant
</h2>
</div>
<button
onClick={onClose}
className="text-white/50 hover:text-white transition-colors p-2"
aria-label="Close"
>
<X className="w-6 h-6" />
</button>
</div>
{/* Chat History Area */}
<div className="flex-1 overflow-y-auto p-4 md:p-8 relative space-y-6 scroll-smooth">
{messages.length === 0 && !isLoading && !error && (
<div className="flex flex-col items-center justify-center h-full text-center opacity-50 space-y-4 animate-in fade-in slide-in-from-bottom-4 duration-500">
<AIOrb isThinking={false} />
<p className="text-xl md:text-2xl font-bold mt-6">I am your technical consultant.</p>
<p className="text-sm">
Describe your project, ask for specific cables, or tell me your requirements.
</p>
</div>
)}
{messages.map((msg, index) => (
<div
key={index}
className={`flex ${msg.role === 'user' ? 'justify-end' : 'justify-start'}`}
>
<div
className={`max-w-[85%] rounded-2xl p-5 ${msg.role === 'user' ? 'bg-accent text-primary rounded-tr-sm' : 'bg-white/10 border border-white/10 text-white rounded-tl-sm'}`}
>
{msg.role === 'assistant' && (
<h3 className="text-xs font-bold tracking-widest uppercase text-accent/80 mb-2 flex items-center">
<Sparkles className="w-3 h-3 mr-1" />
AI Assistant
</h3>
)}
<div className="text-base md:text-lg leading-relaxed font-medium prose prose-invert prose-p:leading-relaxed prose-pre:bg-black/50 prose-a:text-accent prose-strong:text-accent prose-ul:list-disc prose-ol:list-decimal">
{msg.role === 'assistant' ? (
<ReactMarkdown remarkPlugins={[remarkGfm]}>{msg.content}</ReactMarkdown>
) : (
<p className="whitespace-pre-wrap">{msg.content}</p>
)}
</div>
{/* Product Matches inside Assistant Message */}
{msg.role === 'assistant' && msg.products && msg.products.length > 0 && (
<div className="mt-6 space-y-3 border-t border-white/10 pt-4">
<h4 className="text-xs font-bold tracking-widest uppercase text-white/50">
Empfohlene Produkte
</h4>
<div className="grid grid-cols-1 md:grid-cols-2 gap-3">
{msg.products.map((product, idx) => (
<Link
key={idx}
href={`/produkte/${product.slug}`}
onClick={() => {
onClose();
trackEvent(AnalyticsEvents.BUTTON_CLICK, {
target: product.slug,
location: 'ai_search_results',
});
}}
className="group flex flex-col justify-between bg-white text-primary rounded-lg p-4 hover:shadow-lg hover:-translate-y-1 transition-all duration-300"
>
<div>
<p className="text-[10px] font-bold text-primary/50 tracking-wider mb-1">
{product.sku}
</p>
<h5 className="text-sm font-extrabold mb-2 group-hover:text-accent transition-colors line-clamp-2">
{product.title}
</h5>
</div>
<div className="flex items-center justify-end text-[10px] font-bold tracking-widest uppercase mt-2">
<span className="group-hover:text-accent transition-colors">
Details
</span>
<ChevronRight className="w-3 h-3 ml-1 group-hover:text-accent transition-colors group-hover:translate-x-1" />
</div>
</Link>
))}
</div>
</div>
)}
</div>
</div>
))}
{isLoading && (
<div className="flex justify-start">
<div className="bg-transparent rounded-2xl p-2 w-24 flex justify-center">
<AIOrb isThinking={true} />
</div>
</div>
)}
{error && (
<div className="flex items-start space-x-4 bg-red-500/10 border border-red-500/20 p-4 rounded-xl mt-4">
<MessageSquareWarning className="w-6 h-6 text-red-400 shrink-0" />
<div>
<h3 className="text-sm font-bold text-red-200">System Error</h3>
<p className="text-xs text-red-300 mt-1">{error}</p>
</div>
</div>
)}
<div ref={messagesEndRef} />
</div>
{/* Input Area */}
<div className="p-4 md:p-6 bg-[#001c30] border-t border-white/10">
<div className="relative flex items-center bg-white/5 border border-white/10 rounded-xl focus-within:border-accent/50 focus-within:bg-white/10 transition-all">
<input
ref={inputRef}
type="text"
value={query}
onChange={(e) => setQuery(e.target.value)}
onKeyDown={onKeyDown}
placeholder="Type your question or requirements..."
className="flex-1 bg-transparent border-none text-white text-base md:text-lg p-4 focus:outline-none placeholder:text-white/30"
disabled={isLoading}
/>
<input
type="text"
className="hidden"
value={honeypot}
onChange={(e) => setHoneypot(e.target.value)}
tabIndex={-1}
autoComplete="off"
aria-hidden="true"
/>
<button
onClick={() => handleSearch()}
disabled={!query.trim() || isLoading}
className="p-4 text-white/50 hover:text-accent disabled:opacity-50 disabled:hover:text-white/50 transition-colors shrink-0 cursor-pointer"
aria-label="Send message"
>
<Search className="w-6 h-6" />
</button>
</div>
<div className="text-center mt-3">
<span className="text-[10px] uppercase tracking-widest font-bold text-white/30">
Press Enter to send Esc to close
</span>
</div>
</div>
</div>
</div>
);
}

View File

@@ -48,7 +48,7 @@ services:
cpus: '4'
memory: 8G
command: >
sh -c "pnpm install --no-frozen-lockfile && pnpm next dev --webpack --hostname 0.0.0.0"
sh -c "pnpm install && pnpm next dev --webpack --hostname 0.0.0.0"
labels:
- "traefik.enable=true"
- "traefik.http.services.${PROJECT_NAME:-klz}-app-svc.loadbalancer.server.port=3000"
@@ -75,24 +75,6 @@ services:
ports:
- "54322:5432"
klz-redis:
image: redis:7-alpine
restart: unless-stopped
networks:
- default
ports:
- "6379:6379"
klz-qdrant:
image: qdrant/qdrant:v1.13.2
restart: unless-stopped
volumes:
- klz_qdrant_data:/qdrant/storage
networks:
- default
ports:
- "6333:6333"
networks:
default:
name: ${PROJECT_NAME:-klz-cables}-internal
@@ -102,8 +84,6 @@ networks:
volumes:
klz_db_data:
external: false
klz_qdrant_data:
external: false
klz_node_modules:
klz_next_cache:
klz_turbo_cache:

View File

@@ -100,25 +100,6 @@ services:
networks:
- default
klz-redis:
image: redis:7-alpine
restart: unless-stopped
networks:
- default
klz-qdrant:
image: qdrant/qdrant:v1.13.2
restart: unless-stopped
ports:
- "6333:6333"
environment:
QDRANT__SERVICE__HTTP_PORT: 6333
QDRANT__SERVICE__GRPC_PORT: 6334
volumes:
- klz_qdrant_data:/qdrant/storage
networks:
- default
networks:
default:
name: ${PROJECT_NAME:-klz-cables}-internal
@@ -130,5 +111,3 @@ volumes:
external: false
klz_media_data:
external: false
klz_qdrant_data:
external: false

289
lib/pdf-page.tsx Normal file
View File

@@ -0,0 +1,289 @@
import * as React from 'react';
import { Document, Page, View, Text, Image, StyleSheet, Font, Link } from '@react-pdf/renderer';
// Register fonts (using system fonts for now, can be customized)
Font.register({
family: 'Helvetica',
fonts: [
{ src: '/fonts/Helvetica.ttf', fontWeight: 400 },
{ src: '/fonts/Helvetica-Bold.ttf', fontWeight: 700 },
],
});
// ─── Brand Tokens ────────────────────────────────────────
const C = {
navy: '#001a4d',
navyDeep: '#000d26',
green: '#4da612',
white: '#FFFFFF',
offWhite: '#f8f9fa',
gray200: '#e5e7eb',
gray400: '#9ca3af',
gray600: '#4b5563',
gray900: '#111827',
};
const MARGIN = 56;
const HEADER_H = 52;
const FOOTER_H = 48;
const BODY_TOP = HEADER_H + 20;
const styles = StyleSheet.create({
page: {
color: C.gray900,
lineHeight: 1.5,
backgroundColor: C.white,
paddingTop: BODY_TOP,
paddingBottom: FOOTER_H + 40,
paddingHorizontal: MARGIN,
fontFamily: 'Helvetica',
},
header: {
position: 'absolute',
top: 0,
left: 0,
right: 0,
height: HEADER_H,
flexDirection: 'row',
justifyContent: 'space-between',
alignItems: 'flex-end',
paddingHorizontal: MARGIN,
paddingBottom: 12,
borderBottomWidth: 0,
},
logoText: {
fontSize: 16,
fontWeight: 700,
color: C.navy,
},
docTitleLabel: {
fontSize: 7,
fontWeight: 700,
color: C.gray400,
letterSpacing: 1.2,
textTransform: 'uppercase',
},
footer: {
position: 'absolute',
bottom: 20,
left: MARGIN,
right: MARGIN,
flexDirection: 'row',
justifyContent: 'space-between',
alignItems: 'center',
borderTopWidth: 0.5,
borderTopColor: C.gray200,
paddingTop: 8,
},
footerText: {
fontSize: 7,
color: C.gray400,
letterSpacing: 0.8,
textTransform: 'uppercase',
},
pageTitle: {
fontSize: 24,
fontWeight: 700,
color: C.navyDeep,
marginBottom: 16,
textTransform: 'uppercase',
letterSpacing: -0.5,
},
accentBar: {
width: 40,
height: 3,
backgroundColor: C.green,
marginBottom: 24,
},
// Lexical Elements
paragraph: {
fontSize: 10,
color: C.gray600,
lineHeight: 1.6,
marginBottom: 12,
},
heading1: {
fontSize: 18,
fontWeight: 700,
color: C.navyDeep,
marginTop: 16,
marginBottom: 8,
},
heading2: {
fontSize: 14,
fontWeight: 700,
color: C.navyDeep,
marginTop: 14,
marginBottom: 6,
},
heading3: {
fontSize: 12,
fontWeight: 700,
color: C.navyDeep,
marginTop: 12,
marginBottom: 4,
},
list: {
marginBottom: 12,
marginLeft: 8,
},
listItem: {
flexDirection: 'row',
marginBottom: 4,
},
listItemBullet: {
width: 12,
fontSize: 10,
color: C.green,
},
listItemContent: {
flex: 1,
fontSize: 10,
color: C.gray600,
lineHeight: 1.6,
},
link: {
color: C.green,
textDecoration: 'none',
},
textBold: {
fontWeight: 700,
fontFamily: 'Helvetica-Bold',
color: C.navyDeep,
},
textItalic: {
fontStyle: 'italic', // Not actually working without proper font set, but we will fallback
},
});
// ─── Lexical to React-PDF Renderer ────────────────────────────────
const renderLexicalNode = (node: any, idx: number): React.ReactNode => {
if (!node) return null;
switch (node.type) {
case 'text': {
const format = node.format || 0;
const isBold = (format & 1) !== 0;
const isItalic = (format & 2) !== 0;
let elementStyle: any = {};
if (isBold) elementStyle = { ...elementStyle, ...styles.textBold };
if (isItalic) elementStyle = { ...elementStyle, ...styles.textItalic };
return (
<Text key={idx} style={elementStyle}>
{node.text}
</Text>
);
}
case 'paragraph': {
return (
<Text key={idx} style={styles.paragraph}>
{node.children?.map((child: any, i: number) => renderLexicalNode(child, i))}
</Text>
);
}
case 'heading': {
let hStyle = styles.heading3;
if (node.tag === 'h1') hStyle = styles.heading1;
if (node.tag === 'h2') hStyle = styles.heading2;
return (
<Text key={idx} style={hStyle}>
{node.children?.map((child: any, i: number) => renderLexicalNode(child, i))}
</Text>
);
}
case 'list': {
return (
<View key={idx} style={styles.list}>
{node.children?.map((child: any, i: number) => {
if (child.type === 'listitem') {
return (
<View key={i} style={styles.listItem}>
<Text style={styles.listItemBullet}>
{node.listType === 'number' ? `${i + 1}.` : '•'}
</Text>
<Text style={styles.listItemContent}>
{child.children?.map((c: any, ci: number) => renderLexicalNode(c, ci))}
</Text>
</View>
);
}
return renderLexicalNode(child, i);
})}
</View>
);
}
case 'link': {
const href = node.fields?.url || node.url || '#';
return (
<Link key={idx} src={href} style={styles.link}>
{node.children?.map((child: any, i: number) => renderLexicalNode(child, i))}
</Link>
);
}
case 'linebreak': {
// React-PDF doesn't handle `<br/>`, but a newline char usually works inside `<Text>`.
return <Text key={idx}>{'\n'}</Text>;
}
// Ignore payload blocks recursively to avoid crashing, as pages should mainly use rich text
case 'block':
return null;
default:
if (node.children) {
return (
<Text key={idx}>
{node.children.map((child: any, i: number) => renderLexicalNode(child, i))}
</Text>
);
}
return null;
}
};
interface PDFPageProps {
page: any;
locale?: string;
}
export const PDFPage: React.FC<PDFPageProps> = ({ page, locale = 'de' }) => {
const dateStr = new Date().toLocaleDateString(locale === 'en' ? 'en-US' : 'de-DE', {
year: 'numeric',
month: 'long',
day: 'numeric',
});
return (
<Document>
<Page size="A4" style={styles.page}>
<View style={styles.header} fixed>
<Text style={styles.logoText}>KLZ</Text>
<Text style={styles.docTitleLabel}>{locale === 'en' ? 'Document' : 'Dokument'}</Text>
</View>
<Text style={styles.pageTitle}>{page.title}</Text>
<View style={styles.accentBar} />
<View>
{page.content?.root?.children?.map((node: any, i: number) => renderLexicalNode(node, i))}
</View>
<View style={styles.footer} fixed>
<Text style={styles.footerText}>KLZ CABLES</Text>
<Text style={styles.footerText}>{dateStr}</Text>
</View>
</Page>
</Document>
);
};

View File

@@ -4,25 +4,19 @@
"private": true,
"packageManager": "pnpm@10.18.3",
"dependencies": {
"@ai-sdk/google": "^3.0.31",
"@ai-sdk/openai": "^3.0.36",
"@mintel/mail": "^1.9.0",
"@mintel/next-config": "^1.9.0",
"@mintel/next-feedback": "^1.9.0",
"@mintel/next-utils": "^1.9.0",
"@mintel/mail": "^1.8.21",
"@mintel/next-config": "^1.8.21",
"@mintel/next-feedback": "^1.8.21",
"@mintel/next-utils": "^1.8.21",
"@payloadcms/db-postgres": "^3.77.0",
"@payloadcms/email-nodemailer": "^3.77.0",
"@payloadcms/next": "^3.77.0",
"@payloadcms/richtext-lexical": "^3.77.0",
"@payloadcms/ui": "^3.77.0",
"@qdrant/js-client-rest": "^1.17.0",
"@react-email/components": "^1.0.7",
"@react-pdf/renderer": "^4.3.2",
"@react-three/drei": "^10.7.7",
"@react-three/fiber": "^9.5.0",
"@sentry/nextjs": "^10.39.0",
"@types/recharts": "^2.0.1",
"ai": "^6.0.101",
"axios": "^1.13.5",
"clsx": "^2.1.1",
"framer-motion": "^12.34.0",
@@ -30,7 +24,6 @@
"gray-matter": "^4.0.3",
"i18next": "^25.7.3",
"import-in-the-middle": "^1.11.0",
"ioredis": "^5.9.3",
"jsdom": "^27.4.0",
"leaflet": "^1.9.4",
"next": "16.1.6",
@@ -45,17 +38,13 @@
"react-dom": "^19.2.4",
"react-email": "^5.2.5",
"react-leaflet": "^4.2.1",
"react-markdown": "^10.1.0",
"recharts": "^3.7.0",
"rehype-raw": "^7.0.0",
"remark-gfm": "^4.0.1",
"require-in-the-middle": "^8.0.1",
"resend": "^3.5.0",
"schema-dts": "^1.1.5",
"sharp": "^0.34.5",
"svg-to-pdfkit": "^0.1.8",
"tailwind-merge": "^3.4.0",
"three": "^0.183.1",
"xlsx": "npm:@e965/xlsx@^0.20.3",
"zod": "3.25.76"
},
@@ -64,8 +53,8 @@
"@commitlint/config-conventional": "^20.4.0",
"@cspell/dict-de-de": "^4.1.2",
"@lhci/cli": "^0.15.1",
"@mintel/eslint-config": "^1.9.0",
"@mintel/tsconfig": "^1.9.0",
"@mintel/eslint-config": "1.8.21",
"@mintel/tsconfig": "^1.8.21",
"@next/bundle-analyzer": "^16.1.6",
"@tailwindcss/cli": "^4.1.18",
"@tailwindcss/postcss": "^4.1.18",
@@ -91,7 +80,6 @@
"lint-staged": "^16.2.7",
"lucide-react": "^0.563.0",
"pa11y-ci": "^4.0.1",
"pdf-parse": "^2.4.5",
"postcss": "^8.5.6",
"prettier": "^3.8.1",
"puppeteer": "^24.37.3",

1314
pnpm-lock.yaml generated

File diff suppressed because it is too large Load Diff

View File

@@ -1,134 +0,0 @@
import { QdrantClient } from '@qdrant/js-client-rest';
const isDockerContainer =
process.env.IS_DOCKER === 'true' || process.env.HOSTNAME?.includes('klz-app');
const qdrantUrl =
process.env.QDRANT_URL ||
(isDockerContainer ? 'http://klz-qdrant:6333' : 'http://localhost:6333');
const qdrantApiKey = process.env.QDRANT_API_KEY || '';
export const qdrant = new QdrantClient({
url: qdrantUrl,
apiKey: qdrantApiKey || undefined,
});
export const COLLECTION_NAME = 'klz_products';
export const VECTOR_SIZE = 1536; // OpenAI text-embedding-3-small
/**
* Ensure the collection exists in Qdrant.
*/
export async function ensureCollection() {
try {
const collections = await qdrant.getCollections();
const exists = collections.collections.some((c) => c.name === COLLECTION_NAME);
if (!exists) {
await qdrant.createCollection(COLLECTION_NAME, {
vectors: {
size: VECTOR_SIZE,
distance: 'Cosine',
},
});
console.log(`Successfully created Qdrant collection: ${COLLECTION_NAME}`);
}
} catch (error) {
console.error('Error ensuring Qdrant collection:', error);
}
}
/**
* Generate an embedding for a given text using OpenRouter (OpenAI embedding proxy)
*/
export async function generateEmbedding(text: string): Promise<number[]> {
const openRouterKey = process.env.OPENROUTER_API_KEY;
if (!openRouterKey) {
throw new Error('OPENROUTER_API_KEY is not set');
}
const response = await fetch('https://openrouter.ai/api/v1/embeddings', {
method: 'POST',
headers: {
Authorization: `Bearer ${openRouterKey}`,
'Content-Type': 'application/json',
'HTTP-Referer': process.env.NEXT_PUBLIC_BASE_URL || 'https://klz-cables.com',
'X-Title': 'KLZ Cables Search AI',
},
body: JSON.stringify({
model: 'openai/text-embedding-3-small',
input: text,
}),
});
if (!response.ok) {
const errorBody = await response.text();
throw new Error(
`Failed to generate embedding: ${response.status} ${response.statusText} ${errorBody}`,
);
}
const data = await response.json();
return data.data[0].embedding;
}
/**
* Upsert a product into Qdrant
*/
export async function upsertProductVector(
id: string | number,
text: string,
payload: Record<string, any>,
) {
try {
await ensureCollection();
const vector = await generateEmbedding(text);
await qdrant.upsert(COLLECTION_NAME, {
wait: true,
points: [
{
id: id,
vector,
payload,
},
],
});
} catch (error) {
console.error('Error writing to Qdrant:', error);
}
}
/**
* Delete a product from Qdrant
*/
export async function deleteProductVector(id: string | number) {
try {
await ensureCollection();
await qdrant.delete(COLLECTION_NAME, {
wait: true,
points: [id] as [string | number],
});
} catch (error) {
console.error('Error deleting from Qdrant:', error);
}
}
/**
* Search products in Qdrant
*/
export async function searchProducts(query: string, limit = 5) {
try {
await ensureCollection();
const vector = await generateEmbedding(query);
const results = await qdrant.search(COLLECTION_NAME, {
vector,
limit,
with_payload: true,
});
return results;
} catch (error) {
console.error('Error searching in Qdrant:', error);
return [];
}
}

View File

@@ -1,22 +0,0 @@
import Redis from 'ioredis';
const isDockerContainer =
process.env.IS_DOCKER === 'true' || process.env.HOSTNAME?.includes('klz-app');
const redisUrl =
process.env.REDIS_URL ||
(isDockerContainer ? 'redis://klz-redis:6379' : 'redis://localhost:6379');
// Only create a single instance in Node.js
const globalForRedis = global as unknown as { redis: Redis };
export const redis =
globalForRedis.redis ||
new Redis(redisUrl, {
maxRetriesPerRequest: 3,
});
if (process.env.NODE_ENV !== 'production') {
globalForRedis.redis = redis;
}
export default redis;

View File

@@ -37,51 +37,6 @@ export const Products: CollectionConfig = {
};
},
},
hooks: {
afterChange: [
async ({ doc, req, operation }) => {
// Run index sync asynchronously to not block the CMS save operation
setTimeout(async () => {
try {
const { upsertProductVector, deleteProductVector } = await import('../../lib/qdrant');
// Check if product is published
if (doc._status !== 'published') {
await deleteProductVector(doc.id);
req.payload.logger.info(`Removed drafted product ${doc.sku} from Qdrant`);
} else {
// Serialize payload
const contentText = `${doc.title} - SKU: ${doc.sku}\n${doc.description || ''}`;
const payload = {
id: doc.id,
title: doc.title,
sku: doc.sku,
slug: doc.slug,
description: doc.description,
featuredImage: doc.featuredImage, // usually just ID or URL depending on depth
};
await upsertProductVector(doc.id, contentText, payload);
req.payload.logger.info(`Upserted product ${doc.sku} to Qdrant`);
}
} catch (error) {
req.payload.logger.error({ msg: 'Error syncing product to Qdrant', err: error, productId: doc.id });
}
}, 0);
return doc;
},
],
afterDelete: [
async ({ id, req }) => {
try {
const { deleteProductVector } = await import('../../lib/qdrant');
await deleteProductVector(id as string | number);
req.payload.logger.info(`Deleted product ${id} from Qdrant`);
} catch (error) {
req.payload.logger.error({ msg: 'Error deleting product from Qdrant', err: error, productId: id });
}
},
],
},
fields: [
{
name: 'title',

View File

@@ -1,63 +0,0 @@
import fs from 'fs';
import path from 'path';
import crypto from 'crypto';
// Override Qdrant URL for local script execution outside docker
process.env.QDRANT_URL = process.env.QDRANT_URL || 'http://localhost:6333';
import { upsertProductVector } from '../lib/qdrant';
// Ingests the extracted Kabelhandbuch text into Qdrant as distinct knowledge topics.
async function ingestPDF(txtPath: string) {
if (!fs.existsSync(txtPath)) {
console.error(`File not found: ${txtPath}`);
process.exit(1);
}
try {
const text = fs.readFileSync(txtPath, 'utf8');
// Simple sentence/paragraph chunking
// We split by standard paragraph breaks (double newline) or large content blocks.
const chunks = text
.split(/\n\s*\n/)
.map((c) => c.trim())
.filter((c) => c.length > 50);
console.log(`Extracted ${text.length} characters from PDF.`);
console.log(`Generated ${chunks.length} chunks for vector ingestion.\n`);
for (let i = 0; i < chunks.length; i++) {
// We limit chuck sizes to ensure Openrouter embedding models don't timeout/fail,
// stringing multiple paragraphs if they are short, or cutting them if too long.
// For baseline, we'll index every chunk individually mapped as 'knowledge' with a unique ID
const chunkText = chunks[i];
// Generate a synthetic ID that won't collide with Payload Product IDs
// Qdrant strictly requires UUID or unsigned int.
const syntheticId = crypto.randomUUID();
const payloadData = {
type: 'knowledge', // Custom flag to differentiate from 'product'
title: `Kabelhandbuch Wissen - Bereich ${i + 1}`,
content: chunkText,
source: 'Kabelhandbuch KLZ.pdf',
};
// Use the existing upsert function since it just embeds the text and stores the payload
await upsertProductVector(syntheticId, chunkText, payloadData);
console.log(`✅ Upserted chunk ${i + 1}/${chunks.length}`);
}
console.log('🎉 PDF Ingestion Complete!');
process.exit(0);
} catch (err) {
console.error('Failed to parse PDF:', err);
process.exit(1);
}
}
// Run mapping
const targetTxt = '/Users/marcmintel/Downloads/kabelhandbuch.txt';
ingestPDF(targetTxt);

View File

@@ -1,20 +0,0 @@
import fetch from 'node-fetch';
async function test() {
const messages = [
{ role: 'user', content: 'Ich will einen Windpark bauen' }
];
console.log('Sending message:', messages[0].content);
const res = await fetch('http://localhost:3000/api/ai-search', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ messages })
});
const data = await res.json();
console.log('\nAI Response:', data);
}
test().catch(console.error);

View File

@@ -1,16 +0,0 @@
import { generateText } from 'ai';
import { createOpenAI } from '@ai-sdk/openai';
const openrouter = createOpenAI({
baseURL: 'https://openrouter.ai/api/v1',
apiKey: process.env.OPENROUTER_API_KEY,
});
async function run() {
const { text } = await generateText({
model: openrouter('mistralai/mistral-large-2407'),
prompt: 'Hello world! Reply in one word.',
});
console.log('Result:', text);
}
run();