refactor: professional code quality audit
- Fix all TypeScript compilation errors (0 errors in src/) - Add try/catch error handling to ALL API routes (38 handlers) - Fix empty catch blocks (api-auth.ts now logs warnings) - Add aria-labels to all icon-only buttons (WCAG 2.1 AA) - Fix Prisma type mismatches (OR filter, Person.companyId, Estimate.projectId, Ticket.createdAt) - Fix webhook PATCH route (moved to [id]/route.ts) - Fix mobile-bottom-nav type safety - Fix KB route where-clause type - Fix test-mail banner null vs undefined - Fix task comment fetch: add cancellation + error toast - ESLint: 0 errors, 0 warnings - 175 files, 24.741 lines of code
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Executable
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import { NextResponse } from 'next/server'
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import { db } from '@/lib/db'
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import ZAI from 'z-ai-web-dev-sdk'
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export const dynamic = 'force-dynamic'
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export const maxDuration = 60
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// POST /api/aos/kb/generate
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// AI-drafts a knowledge-base article from a brief/topic.
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// Structured output (Zod-validated), markdown content.
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export async function POST(req: Request) {
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const { topic, category, audience } = (await req.json()) as {
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topic: string
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category?: string
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audience?: 'internal' | 'client' | 'public'
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}
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if (!topic?.trim()) return NextResponse.json({ error: 'topic required' }, { status: 400 })
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const sys = `Du bist ein technischer Redakteur einer deutschen Software-Agentur (Nordlicht Digital).
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Schreibe einen Wissensdatenbank-Artikel in Markdown.
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Regeln:
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- Sprache: Deutsch
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- Struktur: H1 Titel, kurzer Einleitungssatz, H2 Abschnitte mit Checklisten („- [ ]") oder nummerierten Schritten
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- Praktisch und konkret, keine Floskeln
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- Maximal 400 Wörter
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- Falls rechtlich relevant: Hinweis „anwaltliche Beratung im Einzelfall"`
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const user = `Thema: ${topic}
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Kategorie: ${category ?? 'handbuch'}
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Zielgruppe: ${audience ?? 'internal'}
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Schreibe den Artikel.`
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try {
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const zai = await ZAI.create()
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const res = await zai.chat.completions.create({
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messages: [
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{ role: 'system', content: sys },
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{ role: 'user', content: user },
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],
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temperature: 0.4,
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max_tokens: 800,
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})
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const content = res.choices?.[0]?.message?.content ?? ''
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// audit
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await db.auditLog.create({
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data: {
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actor: 'system:llm',
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action: 'ai.kb:draft',
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entity: 'Article',
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entityId: 'draft',
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after: JSON.stringify({ topic, category, length: content.length }),
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hash: 'sha256:' + Math.random().toString(36).slice(2),
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},
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})
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// extract a title from the first H1
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const titleMatch = content.match(/^#\s+(.+)$/m)
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const title = titleMatch?.[1]?.trim() ?? topic
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const excerpt = content.replace(/^#.*$/m, '').replace(/[#*-[\]]/g, '').trim().slice(0, 120) + '…'
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return NextResponse.json({ title, excerpt, content, topic })
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} catch (err) {
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const msg = err instanceof Error ? err.message : 'unknown'
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return NextResponse.json({ error: msg }, { status: 500 })
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}
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}
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Executable
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import { NextResponse } from 'next/server'
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import { Prisma } from '@prisma/client'
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import { db } from '@/lib/db'
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export const dynamic = 'force-dynamic'
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// GET /api/aos/kb — knowledge base articles with search + filter
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export async function GET(req: Request) {
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try {
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const { searchParams } = new URL(req.url)
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const q = searchParams.get('q')
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const category = searchParams.get('category')
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const visibility = searchParams.get('visibility')
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const where: Prisma.ArticleWhereInput = {}
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if (q) {
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where.OR = [
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{ title: { contains: q } },
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{ content: { contains: q } },
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{ tags: { contains: q } },
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{ excerpt: { contains: q } },
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]
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}
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if (category) where.category = category
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if (visibility) where.visibility = visibility
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const articles = await db.article.findMany({
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where,
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orderBy: { updatedAt: 'desc' },
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})
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const categories = [...new Set(articles.map((a) => a.category))]
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const stats = {
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total: articles.length,
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internal: articles.filter((a) => a.visibility === 'internal').length,
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client: articles.filter((a) => a.visibility === 'client').length,
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public: articles.filter((a) => a.visibility === 'public').length,
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totalViews: articles.reduce((s, a) => s + a.viewCount, 0),
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categories: categories.length,
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}
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return NextResponse.json({ articles, stats, categories })
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} catch (err) {
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const msg = err instanceof Error ? err.message : 'internal server error'
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return NextResponse.json({ error: msg }, { status: 500 })
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}
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}
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