Initial commit: breakpilot-compliance - Compliance SDK Platform

Services: Admin-Compliance, Backend-Compliance,
AI-Compliance-SDK, Consent-SDK, Developer-Portal,
PCA-Platform, DSMS

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Benjamin Boenisch
2026-02-11 23:47:28 +01:00
commit 4435e7ea0a
734 changed files with 251369 additions and 0 deletions

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/**
* Drafting Engine - Draft API
*
* Erstellt strukturierte Compliance-Dokument-Entwuerfe.
* Baut dokument-spezifische Prompts aus SOUL-Template + State-Projection.
* Gibt strukturiertes JSON zurueck.
*/
import { NextRequest, NextResponse } from 'next/server'
const OLLAMA_URL = process.env.OLLAMA_URL || 'http://host.docker.internal:11434'
const LLM_MODEL = process.env.COMPLIANCE_LLM_MODEL || 'qwen2.5vl:32b'
// Import prompt builders
import { buildVVTDraftPrompt } from '@/lib/sdk/drafting-engine/prompts/draft-vvt'
import { buildTOMDraftPrompt } from '@/lib/sdk/drafting-engine/prompts/draft-tom'
import { buildDSFADraftPrompt } from '@/lib/sdk/drafting-engine/prompts/draft-dsfa'
import { buildPrivacyPolicyDraftPrompt } from '@/lib/sdk/drafting-engine/prompts/draft-privacy-policy'
import { buildLoeschfristenDraftPrompt } from '@/lib/sdk/drafting-engine/prompts/draft-loeschfristen'
import type { DraftContext, DraftResponse, DraftRevision, DraftSection } from '@/lib/sdk/drafting-engine/types'
import type { ScopeDocumentType } from '@/lib/sdk/compliance-scope-types'
import { ConstraintEnforcer } from '@/lib/sdk/drafting-engine/constraint-enforcer'
const constraintEnforcer = new ConstraintEnforcer()
const DRAFTING_SYSTEM_PROMPT = `Du bist ein DSGVO-Compliance-Experte und erstellst strukturierte Dokument-Entwuerfe.
Du MUSST immer im JSON-Format antworten mit einem "sections" Array.
Jede Section hat: id, title, content, schemaField.
Halte die Tiefe strikt am vorgegebenen Level.
Markiere fehlende Informationen mit [PLATZHALTER: Beschreibung].
Sprache: Deutsch.`
function buildPromptForDocumentType(
documentType: ScopeDocumentType,
context: DraftContext,
instructions?: string
): string {
switch (documentType) {
case 'vvt':
return buildVVTDraftPrompt({ context, instructions })
case 'tom':
return buildTOMDraftPrompt({ context, instructions })
case 'dsfa':
return buildDSFADraftPrompt({ context, instructions })
case 'dsi':
return buildPrivacyPolicyDraftPrompt({ context, instructions })
case 'lf':
return buildLoeschfristenDraftPrompt({ context, instructions })
default:
return `## Aufgabe: Entwurf fuer ${documentType}
### Level: ${context.decisions.level}
### Tiefe: ${context.constraints.depthRequirements.depth}
### Erforderliche Inhalte:
${context.constraints.depthRequirements.detailItems.map((item, i) => `${i + 1}. ${item}`).join('\n')}
${instructions ? `### Anweisungen: ${instructions}` : ''}
Antworte als JSON mit "sections" Array.`
}
}
export async function POST(request: NextRequest) {
try {
const body = await request.json()
const { documentType, draftContext, instructions, existingDraft } = body
if (!documentType || !draftContext) {
return NextResponse.json(
{ error: 'documentType und draftContext sind erforderlich' },
{ status: 400 }
)
}
// 1. Constraint Check (Hard Gate)
const constraintCheck = constraintEnforcer.checkFromContext(documentType, draftContext)
if (!constraintCheck.allowed) {
return NextResponse.json({
draft: null,
constraintCheck,
tokensUsed: 0,
error: 'Constraint-Verletzung: ' + constraintCheck.violations.join('; '),
}, { status: 403 })
}
// 2. Build document-specific prompt
const draftPrompt = buildPromptForDocumentType(documentType, draftContext, instructions)
// 3. Build messages
const messages = [
{ role: 'system', content: DRAFTING_SYSTEM_PROMPT },
...(existingDraft ? [{
role: 'assistant',
content: `Bisheriger Entwurf:\n${JSON.stringify(existingDraft.sections, null, 2)}`,
}] : []),
{ role: 'user', content: draftPrompt },
]
// 4. Call LLM (non-streaming for structured output)
const ollamaResponse = await fetch(`${OLLAMA_URL}/api/chat`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
model: LLM_MODEL,
messages,
stream: false,
options: {
temperature: 0.15,
num_predict: 16384,
},
format: 'json',
}),
signal: AbortSignal.timeout(180000),
})
if (!ollamaResponse.ok) {
return NextResponse.json(
{ error: `LLM nicht erreichbar (Status ${ollamaResponse.status})` },
{ status: 502 }
)
}
const result = await ollamaResponse.json()
const content = result.message?.content || ''
// 5. Parse JSON response
let sections: DraftSection[] = []
try {
const parsed = JSON.parse(content)
sections = (parsed.sections || []).map((s: Record<string, unknown>, i: number) => ({
id: String(s.id || `section-${i}`),
title: String(s.title || ''),
content: String(s.content || ''),
schemaField: s.schemaField ? String(s.schemaField) : undefined,
}))
} catch {
// If not JSON, wrap raw content as single section
sections = [{
id: 'raw',
title: 'Entwurf',
content: content,
}]
}
const draft: DraftRevision = {
id: `draft-${Date.now()}`,
content: sections.map(s => `## ${s.title}\n\n${s.content}`).join('\n\n'),
sections,
createdAt: new Date().toISOString(),
instruction: instructions,
}
const response: DraftResponse = {
draft,
constraintCheck,
tokensUsed: result.eval_count || 0,
}
return NextResponse.json(response)
} catch (error) {
console.error('Draft generation error:', error)
return NextResponse.json(
{ error: 'Draft-Generierung fehlgeschlagen.' },
{ status: 503 }
)
}
}