Add autonomous compliance agent that fetches web documents (cookie banners, privacy policies), classifies them via Qwen/Ollama, assesses DSGVO compliance, assigns to the responsible role, and sends notification emails. Components: - ZeroClaw SOP (6-step workflow: fetch, classify, assess, summarize, assign, notify) - Backend: /api/compliance/agent/analyze (combined endpoint) - Backend: /api/compliance/agent/notify (standalone email) - Frontend: /sdk/agent page (Manager UI with URL input + results) - Helper scripts + E2E test Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
110 lines
4.0 KiB
TypeScript
110 lines
4.0 KiB
TypeScript
'use client'
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import React from 'react'
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import type { AnalysisResult as AnalysisResultType } from '../_hooks/useAgentAnalysis'
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const RISK_COLORS: Record<string, { bg: string; text: string; label: string }> = {
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low: { bg: 'bg-green-100', text: 'text-green-800', label: 'Niedrig' },
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medium: { bg: 'bg-yellow-100', text: 'text-yellow-800', label: 'Mittel' },
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high: { bg: 'bg-orange-100', text: 'text-orange-800', label: 'Hoch' },
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critical: { bg: 'bg-red-100', text: 'text-red-800', label: 'Kritisch' },
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unknown: { bg: 'bg-gray-100', text: 'text-gray-800', label: 'Unbekannt' },
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}
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const DOC_TYPE_LABELS: Record<string, string> = {
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privacy_policy: 'Datenschutzerklaerung',
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cookie_banner: 'Cookie-Banner',
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terms_of_service: 'AGB',
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imprint: 'Impressum',
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dpa: 'Auftragsverarbeitung (AVV)',
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other: 'Sonstiges',
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}
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interface Props {
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result: AnalysisResultType
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}
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export function AnalysisResult({ result }: Props) {
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const risk = RISK_COLORS[result.risk_level] || RISK_COLORS.unknown
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return (
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<div className="space-y-4">
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{/* Header */}
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<div className="flex items-center justify-between">
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<div>
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<h3 className="text-lg font-semibold text-gray-900">
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{DOC_TYPE_LABELS[result.classification] || result.classification}
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</h3>
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<p className="text-sm text-gray-500 truncate max-w-md">{result.url}</p>
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</div>
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<span className={`px-3 py-1 rounded-full text-sm font-medium ${risk.bg} ${risk.text}`}>
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{risk.label} ({result.risk_score}/100)
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</span>
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</div>
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{/* Role Assignment */}
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<div className="bg-purple-50 border border-purple-200 rounded-lg p-4">
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<div className="flex items-center gap-2">
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<svg className="w-5 h-5 text-purple-600" fill="none" stroke="currentColor" viewBox="0 0 24 24">
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<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M16 7a4 4 0 11-8 0 4 4 0 018 0zM12 14a7 7 0 00-7 7h14a7 7 0 00-7-7z" />
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</svg>
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<span className="text-sm font-medium text-purple-900">
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Zugewiesen an: <strong>{result.responsible_role}</strong>
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</span>
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<span className="text-xs text-purple-600 ml-auto">
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Eskalationsstufe {result.escalation_level}
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</span>
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</div>
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</div>
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{/* Summary */}
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{result.summary && (
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<div className="bg-gray-50 rounded-lg p-4">
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<h4 className="text-sm font-medium text-gray-700 mb-2">Zusammenfassung</h4>
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<p className="text-sm text-gray-600 whitespace-pre-wrap">{result.summary}</p>
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</div>
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)}
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{/* Findings */}
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{result.findings.length > 0 && (
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<div>
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<h4 className="text-sm font-medium text-gray-700 mb-2">Findings ({result.findings.length})</h4>
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<ul className="space-y-1">
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{result.findings.map((f, i) => (
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<li key={i} className="flex items-start gap-2 text-sm text-gray-600">
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<span className="text-orange-500 mt-0.5">!</span>
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{f}
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</li>
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))}
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</ul>
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</div>
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)}
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{/* Required Controls */}
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{result.required_controls.length > 0 && (
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<div>
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<h4 className="text-sm font-medium text-gray-700 mb-2">Erforderliche Massnahmen</h4>
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<ul className="space-y-1">
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{result.required_controls.map((c, i) => (
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<li key={i} className="flex items-start gap-2 text-sm text-gray-600">
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<span className="text-blue-500 mt-0.5">✓</span>
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{c}
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</li>
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))}
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</ul>
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</div>
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)}
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{/* Email Status */}
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<div className="flex items-center gap-2 text-sm text-gray-500 pt-2 border-t">
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<span className={result.email_status === 'sent' ? 'text-green-600' : 'text-yellow-600'}>
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{result.email_status === 'sent' ? '✉ Email gesendet' : '✉ Email ausstehend'}
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</span>
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<span className="ml-auto text-xs">
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{new Date(result.analyzed_at).toLocaleString('de-DE')}
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</span>
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</div>
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</div>
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)
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}
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