feat(agent): strukturierte Ergebnis-Tabs — Impressum (Phase 1)
Der Compliance-Check legt zusätzlich einen strukturierten v3-AgentOutput pro Thema in result.agent_outputs ab (additiv; B18-HTML + Firehose-Mail bleiben unangetastet). Frontend: standardisiertes Ergebnis-Tab statt Firehose — Impressum-Tab (AgentResultTab) + "Alle Checks (roh)" (ChecklistView). - backend: _agent_outputs.py ruft den registrierten v3-ImpressumAgent, gewired in _orchestrator nach B18, surfaced via _phase_f_persist. - frontend: AgentResultView (aus AgentSlotCard extrahiert, DRY), AgentResultTab, ComplianceResultTabs; ComplianceCheckTab 490->391 Zeilen. - Tests: backend 2 passed, frontend 2 passed; tsc 0 neue Fehler; check-loc 0. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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'use client'
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/**
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* AgentResultView — der geteilte Render-Body eines AgentOutput:
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* MC-Coverage + Speedometer + Eskalationslog + Findings (HIGH→LOW) +
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* konsolidierte Maßnahmen. KEIN Header — den setzt der Consumer
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* (AgentSlotCard = Agent-Test-Slot, AgentResultTab = Themen-Tab).
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*
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* Dieser View ist die "Karten"-Darstellung für Themen mit wenigen
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* Findings (z.B. Impressum). Dichte Themen (Cookie, bis ~1000 Zeilen)
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* bekommen später einen eigenen Tabellen-View im gleichen Tab-Rahmen.
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*/
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import React, { useState } from 'react'
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import type { Severity, SlotOutput } from './_agentTypes'
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import { AgentFindingCard } from './AgentFindingCard'
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import { AgentMcCoverage } from './AgentMcCoverage'
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import { AgentRecommendationCard } from './AgentRecommendationCard'
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import { AgentSpeedometer } from './AgentSpeedometer'
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const SEV_ORDER: Record<Severity, number> = {
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HIGH: 0, MEDIUM: 1, LOW: 2, INFO: 3,
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}
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const INITIAL_VISIBLE = 12
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export function AgentResultView({ output }: { output: SlotOutput }) {
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const [showAll, setShowAll] = useState(false)
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const sortedFindings = [...output.findings].sort(
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(a, b) => SEV_ORDER[a.severity] - SEV_ORDER[b.severity],
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)
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const visible = showAll
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? sortedFindings
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: sortedFindings.slice(0, INITIAL_VISIBLE)
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return (
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<div className="space-y-3">
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{output.notes && (
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<div className="text-xs text-amber-700 bg-amber-50 px-2 py-1 rounded">
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Hinweis: {output.notes}
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</div>
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)}
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<AgentMcCoverage coverage={output.mc_coverage} />
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<AgentSpeedometer
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total={output.mc_total}
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ok={output.mc_ok}
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na={output.mc_na}
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high={output.mc_high}
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medium={output.mc_medium}
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low={output.mc_low}
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/>
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{output.escalation_log.length > 0 && (
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<div className="text-xs text-gray-600 border-l-2 border-violet-400 pl-2 space-y-0.5">
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<div className="font-semibold text-violet-700">
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LLM-Eskalation eingesetzt:
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</div>
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{output.escalation_log.map((e, i) => (
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<div key={i}>
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{e.stage} <code className="text-violet-700">{e.model}</code>{' '}
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· {e.duration_ms} ms{' '}
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{e.tokens_in ? `· ${e.tokens_in}→${e.tokens_out} tok` : ''}{' '}
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{e.success ? '✓' : `✗ ${e.error || ''}`}
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</div>
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))}
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</div>
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)}
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{sortedFindings.length > 0 && (
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<div className="space-y-2">
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<div className="text-xs font-semibold uppercase text-gray-700">
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Findings ({sortedFindings.length}) — nach Schwere sortiert
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</div>
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<div className="space-y-2">
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{visible.map(f => (
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<AgentFindingCard key={f.check_id} f={f} />
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))}
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</div>
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{sortedFindings.length > INITIAL_VISIBLE && (
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<button
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onClick={() => setShowAll(x => !x)}
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className="text-xs text-blue-600 hover:underline"
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>
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{showAll
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? 'Weniger anzeigen'
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: `Alle ${sortedFindings.length} anzeigen`}
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</button>
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)}
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</div>
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)}
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{output.recommendations.length > 0 && (
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<div className="space-y-2">
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<div className="text-xs font-semibold uppercase text-gray-700">
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Maßnahmen-Plan ({output.recommendations.length} konsolidiert)
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</div>
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<div className="space-y-2">
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{output.recommendations.map(r => (
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<AgentRecommendationCard key={r.recommendation_id} r={r} />
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))}
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</div>
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</div>
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)}
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</div>
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)
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}
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