feat(agents): Frontend Methodik-First Layout
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User-Vorgabe: pro Slot transparent zeigen WAS wir tun:
  1. Was wurde geprueft (MC-Coverage, collapsible)
  2. Speedometer mit Severity-Verteilung
  3. LLM-Eskalation-Log (wenn benutzt)
  4. Findings sortiert HIGH->LOW, je Card:
     - Methodik-Badge (MC / Regex / KB / LLM / Cross)
     - Gesetzliche Basis (Norm-Block, violett)
     - Befund (Zitat-Block, amber)
     - Empfehlung -> 'Pflicht-Massnahme' bei HIGH,
       'Best-Practice' bei MEDIUM/LOW, 'LLM-Vorschlag'
       bei LLM-Quelle
  5. Maszahmen-Plan (gerollupte Recommendations mit
     related_finding_ids + Aufwand)

Refactor: ein File AgentTestTab.tsx (519 LOC) -> 7 Files:
  _agentTypes.ts (Types + Methodik-Konstanten)
  AgentSpeedometer.tsx
  AgentMcCoverage.tsx
  AgentFindingCard.tsx
  AgentRecommendationCard.tsx
  AgentSlotCard.tsx
  AgentTestTab.tsx (Top-Level, schlank)

Plus Methodik-Info-Erklaerung am Tab-Anfang + Disclaimer.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-06-09 07:53:24 +02:00
parent 593baace7c
commit 3ef8c9b247
7 changed files with 757 additions and 301 deletions
@@ -0,0 +1,134 @@
'use client'
/**
* Strukturierte Finding-Anzeige.
* Layout:
* [Severity-Badge] [Methodik-Badge(s)]
* [Titel]
* ┌ Gesetzliche Basis / Norm ─────────┐
* │ § 5 Abs. 1 Nr. 1 TMG │
* └────────────────────────────────────┘
* ┌ Befund / Wörtlich ───────────────┐
* │ "Vorstand: …" │
* └────────────────────────────────────┘
* ┌ Empfehlung / Best Practice ──────┐
* │ → Konkrete Maßnahme │
* └────────────────────────────────────┘
*/
import React from 'react'
import type { Finding, SourceType } from './_agentTypes'
import {
METHODIK_COLOR,
METHODIK_LABEL,
METHODIK_SHORT,
SEVERITY_BG,
SEVERITY_COLOR,
} from './_agentTypes'
export function AgentFindingCard({ f }: { f: Finding }) {
const sev = f.severity
const color = SEVERITY_COLOR[sev]
const bg = SEVERITY_BG[sev]
const sources = f.sources || []
return (
<div
className="rounded border-l-4 p-3 space-y-2"
style={{ borderLeftColor: color, background: bg }}
>
<div className="flex items-center flex-wrap gap-2">
<span
className="text-xs font-bold px-2 py-0.5 rounded text-white"
style={{ background: color }}
>
{sev}
</span>
<code className="text-[11px] text-gray-500">{f.check_id}</code>
{sources.map((s, i) => (
<MethodikBadge key={i} src={s.source_type} sourceId={s.source_id} />
))}
{f.confidence !== undefined && (
<span className="text-[10px] text-gray-500 ml-auto">
Konfidenz {(f.confidence * 100).toFixed(0)}%
</span>
)}
</div>
<div className="text-sm font-medium text-gray-900">{f.title}</div>
{f.norm && (
<Block label="Gesetzliche Basis" tone="purple">
{f.norm}
</Block>
)}
{f.evidence && (
<Block label="Befund" tone="amber">
<span className="italic">{f.evidence}"</span>
</Block>
)}
{f.action && (
<Block
label={
sources.some(s =>
s.source_type === 'llm_local' ||
s.source_type === 'llm_local_big' ||
s.source_type === 'llm_cloud'
)
? 'Empfehlung (LLM-Vorschlag)'
: sev === 'HIGH'
? 'Pflicht-Maßnahme'
: 'Best-Practice-Empfehlung'
}
tone="green"
>
{f.action}
</Block>
)}
</div>
)
}
function MethodikBadge({
src, sourceId,
}: { src: SourceType; sourceId?: string }) {
const { bg, fg } = METHODIK_COLOR[src] || { bg: '#e5e7eb', fg: '#374151' }
const title = `${METHODIK_LABEL[src]}${sourceId ? ` · ${sourceId}` : ''}`
return (
<span
title={title}
className="text-[10px] px-1.5 py-0.5 rounded font-mono"
style={{ background: bg, color: fg }}
>
{METHODIK_SHORT[src]}
</span>
)
}
function Block({
label, tone, children,
}: {
label: string
tone: 'purple' | 'amber' | 'green'
children: React.ReactNode
}) {
const toneMap = {
purple: { border: '#a78bfa', bg: '#f5f3ff', label: '#5b21b6' },
amber: { border: '#fbbf24', bg: '#fffbeb', label: '#92400e' },
green: { border: '#34d399', bg: '#ecfdf5', label: '#065f46' },
} as const
const t = toneMap[tone]
return (
<div
className="rounded px-2 py-1.5 text-xs"
style={{ background: t.bg, borderLeft: `3px solid ${t.border}` }}
>
<div className="font-semibold mb-0.5" style={{ color: t.label }}>
{label}
</div>
<div className="text-gray-800">{children}</div>
</div>
)
}
@@ -0,0 +1,63 @@
'use client'
/**
* "Was wurde geprüft" — listet alle MCs eines Agents mit ihrem Status.
* Standardmäßig collapsed; zeigt sofort, was Methodik des Agents war.
*/
import React, { useState } from 'react'
import type { McCoverage } from './_agentTypes'
const STATUS_COLOR: Record<string, string> = {
ok: '#10b981',
na: '#94a3b8',
skipped: '#cbd5e1',
high: '#dc2626',
medium: '#f59e0b',
low: '#3b82f6',
}
const STATUS_LABEL: Record<string, string> = {
ok: 'OK',
na: 'n/a',
skipped: 'übersprungen',
high: 'HIGH',
medium: 'MEDIUM',
low: 'LOW',
}
export function AgentMcCoverage({ coverage }: { coverage: McCoverage[] }) {
const [open, setOpen] = useState(false)
if (!coverage?.length) return null
return (
<div className="border rounded bg-slate-50">
<button
onClick={() => setOpen(o => !o)}
className="w-full text-left px-3 py-2 text-xs font-semibold uppercase text-gray-700 flex justify-between items-center"
>
<span>Was wurde geprüft? ({coverage.length} MCs)</span>
<span className="text-gray-400">{open ? '▾' : '▸'}</span>
</button>
{open && (
<div className="border-t bg-white p-2 space-y-0.5 max-h-60 overflow-y-auto">
{coverage.map(c => (
<div key={c.mc_id} className="flex items-center gap-2 text-xs">
<span
className="w-2 h-2 rounded-full inline-block"
style={{ background: STATUS_COLOR[c.status] || '#cbd5e1' }}
/>
<code className="text-gray-500">{c.mc_id}</code>
<span className="text-gray-700">
{STATUS_LABEL[c.status] || c.status}
</span>
{c.reason && (
<span className="text-gray-400 italic"> {c.reason}</span>
)}
</div>
))}
</div>
)}
</div>
)
}
@@ -0,0 +1,51 @@
'use client'
/**
* Recommendation-Card: zeigt die gerollupten Maßnahmen.
* Eine Recommendation bündelt 1..N Findings mit gleicher Maßnahme.
*/
import React from 'react'
import type { Recommendation } from './_agentTypes'
import { SEVERITY_COLOR } from './_agentTypes'
export function AgentRecommendationCard({ r }: { r: Recommendation }) {
const color = SEVERITY_COLOR[r.severity]
return (
<div
className="rounded p-3 space-y-1 text-sm bg-emerald-50"
style={{ borderLeft: `3px solid ${color}` }}
>
<div className="flex items-baseline gap-2 flex-wrap">
<span
className="text-[10px] font-bold px-1.5 py-0.5 rounded text-white"
style={{ background: color }}
>
{r.severity}
</span>
<span className="font-semibold text-gray-900">{r.title}</span>
<span className="text-[10px] text-gray-500 ml-auto">
{r.related_finding_ids.length} Finding(s)
{' · '}
{r.estimated_effort_hours.toFixed(1)}h geschätzt
</span>
</div>
{r.body && r.body !== r.title && (
<div className="text-xs text-gray-700 whitespace-pre-wrap">
{r.body}
</div>
)}
{r.related_finding_ids.length > 0 && (
<details className="text-[10px] text-gray-500">
<summary className="cursor-pointer">Aus diesen Findings abgeleitet</summary>
<ul className="mt-1 list-disc ml-4 space-y-0.5">
{r.related_finding_ids.map(id => (
<li key={id}><code>{id}</code></li>
))}
</ul>
</details>
)}
</div>
)
}
@@ -0,0 +1,136 @@
'use client'
/**
* SlotCard — ein Slot im Agent-Test mit Sections:
* 1. Header (Slot-Name, duration, Vault-Link)
* 2. Was wurde geprüft (MC-Coverage, collapsible)
* 3. Speedometer
* 4. Eskalationslog (wenn vorhanden)
* 5. Findings (sortiert HIGH → LOW)
* 6. Recommendations (gerollupt)
*/
import React, { useState } from 'react'
import type { SlotOutput, Severity } from './_agentTypes'
import { AgentFindingCard } from './AgentFindingCard'
import { AgentMcCoverage } from './AgentMcCoverage'
import { AgentRecommendationCard } from './AgentRecommendationCard'
import { AgentSpeedometer } from './AgentSpeedometer'
const SEV_ORDER: Record<Severity, number> = {
HIGH: 0, MEDIUM: 1, LOW: 2, INFO: 3,
}
export function AgentSlotCard({
slot, output, runId,
}: {
slot: string
output: SlotOutput
runId: string
}) {
const [showAll, setShowAll] = useState(false)
const wasSkipped = output.mc_total > 0 &&
output.mc_ok === 0 && output.mc_na === 0 &&
output.mc_high === 0 && output.mc_medium === 0 && output.mc_low === 0
const allGreen = !wasSkipped && output.findings.length === 0
const sortedFindings = [...output.findings].sort(
(a, b) => SEV_ORDER[a.severity] - SEV_ORDER[b.severity],
)
const visible = showAll ? sortedFindings : sortedFindings.slice(0, 12)
return (
<div className="rounded-lg border bg-white p-4 space-y-3 shadow-sm">
<div className="flex items-baseline gap-3 flex-wrap">
<h3 className="font-semibold text-gray-900">Slot: {slot}</h3>
<span className="text-xs text-gray-500">
{output.duration_ms} ms · Konfidenz {(output.confidence * 100).toFixed(0)}%
</span>
{wasSkipped && (
<span className="text-xs bg-amber-100 text-amber-800 px-2 py-0.5 rounded">
Dokument konnte nicht geladen werden
</span>
)}
{allGreen && (
<span className="text-xs bg-emerald-100 text-emerald-800 px-2 py-0.5 rounded">
Alle anwendbaren MCs erfüllt
</span>
)}
<a
className="text-xs text-blue-600 hover:underline ml-auto"
href={`/api/sdk/v1/specialist-agent/run/${runId}/artifacts`}
target="_blank"
rel="noreferrer"
>
Artefakte
</a>
</div>
{output.notes && (
<div className="text-xs text-amber-700 bg-amber-50 px-2 py-1 rounded">
Hinweis: {output.notes}
</div>
)}
<AgentMcCoverage coverage={output.mc_coverage} />
<AgentSpeedometer
total={output.mc_total}
ok={output.mc_ok}
na={output.mc_na}
high={output.mc_high}
medium={output.mc_medium}
low={output.mc_low}
/>
{output.escalation_log.length > 0 && (
<div className="text-xs text-gray-600 border-l-2 border-violet-400 pl-2 space-y-0.5">
<div className="font-semibold text-violet-700">
LLM-Eskalation eingesetzt:
</div>
{output.escalation_log.map((e, i) => (
<div key={i}>
{e.stage} <code className="text-violet-700">{e.model}</code>{' '}
· {e.duration_ms} ms{' '}
{e.tokens_in ? `· ${e.tokens_in}${e.tokens_out} tok` : ''}{' '}
{e.success ? '✓' : `${e.error || ''}`}
</div>
))}
</div>
)}
{sortedFindings.length > 0 && (
<div className="space-y-2">
<div className="text-xs font-semibold uppercase text-gray-700">
Findings ({sortedFindings.length}) nach Schwere sortiert
</div>
<div className="space-y-2">
{visible.map(f => (
<AgentFindingCard key={f.check_id} f={f} />
))}
</div>
{sortedFindings.length > 12 && (
<button
onClick={() => setShowAll(x => !x)}
className="text-xs text-blue-600 hover:underline"
>
{showAll ? 'Weniger anzeigen' : `Alle ${sortedFindings.length} anzeigen`}
</button>
)}
</div>
)}
{output.recommendations.length > 0 && (
<div className="space-y-2">
<div className="text-xs font-semibold uppercase text-gray-700">
Maßnahmen-Plan ({output.recommendations.length} konsolidiert)
</div>
<div className="space-y-2">
{output.recommendations.map(r => (
<AgentRecommendationCard key={r.recommendation_id} r={r} />
))}
</div>
</div>
)}
</div>
)
}
@@ -0,0 +1,57 @@
'use client'
/**
* Speedometer + Color-Legende für eine MC-Auswertung.
* Zeigt 5 Klassen: OK / n/a / HIGH / MEDIUM / LOW als horizontaler Balken.
*/
import React from 'react'
interface Props {
total: number
ok: number
na: number
high: number
medium: number
low: number
}
export function AgentSpeedometer({ total, ok, na, high, medium, low }: Props) {
const safeTotal = Math.max(total, 1)
return (
<div className="space-y-1">
<div className="text-xs text-gray-500">
{total} Machine-Checks (MCs) durchlaufen
</div>
<div className="flex h-4 rounded overflow-hidden border">
<Bar pct={(ok / safeTotal) * 100} color="#10b981" />
<Bar pct={(na / safeTotal) * 100} color="#94a3b8" />
<Bar pct={(high / safeTotal) * 100} color="#dc2626" />
<Bar pct={(medium / safeTotal) * 100} color="#f59e0b" />
<Bar pct={(low / safeTotal) * 100} color="#3b82f6" />
</div>
<div className="flex flex-wrap gap-3 text-xs">
<Legend color="#10b981" label={`OK ${ok}`} title="Geprüft & erfüllt" />
<Legend color="#94a3b8" label={`n/a ${na}`} title="Nicht anwendbar (Branche, B2C, …)" />
<Legend color="#dc2626" label={`HIGH ${high}`} title="Pflichtangabe fehlt / hartes Risiko" />
<Legend color="#f59e0b" label={`MEDIUM ${medium}`} title="Ergänzung empfohlen" />
<Legend color="#3b82f6" label={`LOW ${low}`} title="Best-Practice-Hinweis" />
</div>
</div>
)
}
function Bar({ pct, color }: { pct: number; color: string }) {
return <div style={{ width: `${pct}%`, background: color }} />
}
function Legend({
color, label, title,
}: { color: string; label: string; title?: string }) {
return (
<span className="inline-flex items-center gap-1" title={title}>
<span style={{ background: color }} className="w-2 h-2 inline-block rounded" />
<span>{label}</span>
</span>
)
}
@@ -1,66 +1,18 @@
'use client'
/**
* AgentTestTab — Top-Level für den 5-URL-Test eines Specialist-Agents.
* Sections:
* 1. Agent-Wähler + 5 URL-Slots + Start-Button
* 2. Methodik-Erklärung (was wir tun, warum)
* 3. Live-Event-Log
* 4. Pro Slot: SlotCard (siehe AgentSlotCard.tsx)
*/
import React, { useEffect, useMemo, useRef, useState } from 'react'
type AgentInfo = {
agent_id: string
agent_version: string
doc_type: string
mc_count: number
}
type Finding = {
check_id: string
agent: string
agent_version: string
field_id?: string
severity: 'HIGH' | 'MEDIUM' | 'LOW' | 'INFO'
title: string
norm?: string
evidence?: string
action?: string
confidence?: number
sources?: { source_type: string; source_id: string; detail?: string }[]
}
type Recommendation = {
recommendation_id: string
title: string
body: string
severity: string
related_finding_ids: string[]
estimated_effort_hours: number
}
type SlotOutput = {
agent: string
agent_version: string
findings: Finding[]
recommendations: Recommendation[]
mc_total: number
mc_ok: number
mc_na: number
mc_high: number
mc_medium: number
mc_low: number
duration_ms: number
confidence: number
escalation_log: { stage: string; model: string; success: boolean; duration_ms: number }[]
}
type RunResult = {
run_id: string
agent_id: string
finished: boolean
results: Record<string, SlotOutput>
vault_url: string
}
type StreamEvent = {
type: string
slot?: string
[key: string]: any
}
import type { AgentInfo, RunResult, SlotOutput, StreamEvent } from './_agentTypes'
import { AgentSlotCard } from './AgentSlotCard'
const STORAGE_KEY = 'agent-test-state-v1'
const MAX_SLOTS = 5
@@ -83,9 +35,11 @@ export function AgentTestTab() {
if (s) {
const parsed = JSON.parse(s)
if (parsed.agentId) setAgentId(parsed.agentId)
if (Array.isArray(parsed.urls))
setUrls(parsed.urls.slice(0, MAX_SLOTS).concat(
new Array(MAX_SLOTS).fill('')).slice(0, MAX_SLOTS))
if (Array.isArray(parsed.urls)) {
const padded = [...parsed.urls.slice(0, MAX_SLOTS),
...new Array(MAX_SLOTS).fill('')].slice(0, MAX_SLOTS)
setUrls(padded)
}
}
} catch { /* noop */ }
}, [])
@@ -118,17 +72,11 @@ export function AgentTestTab() {
if (cleanUrls.length === 0) { setError('Mind. eine URL angeben.'); return }
setRunning(true)
try {
const r = await fetch(
'/api/sdk/v1/specialist-agent/test/start',
{
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
agent_id: agentId,
urls: cleanUrls,
}),
},
)
const r = await fetch('/api/sdk/v1/specialist-agent/test/start', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ agent_id: agentId, urls: cleanUrls }),
})
if (!r.ok) {
const j = await r.json().catch(() => ({}))
throw new Error(j.error || `HTTP ${r.status}`)
@@ -192,88 +140,29 @@ export function AgentTestTab() {
return (
<div className="space-y-4">
<div className="rounded-lg border bg-white p-4 space-y-3">
<h2 className="text-lg font-semibold">Agent-Test (max. {MAX_SLOTS} URLs)</h2>
<p className="text-xs text-gray-500">
Wählt einen Spezialisten-Agent und feuert ihn gegen 1-5 URLs gleichzeitig.
Pro URL Speedometer + Findings + Empfehlungen mit Quellen-Herkunft (MC / Regex / LLM-Stufe).
Keine Aussagen "rechtssicher" oder "garantiert" alle solchen Wörter werden vor Ausgabe gelöscht.
</p>
<div className="flex flex-wrap gap-3 items-end">
<div>
<label className="block text-xs font-medium text-gray-600">Agent</label>
<select value={agentId}
onChange={e => setAgentId(e.target.value)}
className="border rounded px-2 py-1 text-sm">
{agents.map(a => (
<option key={a.agent_id} value={a.agent_id}>
{a.agent_id} v{a.agent_version} ({a.mc_count} MCs)
</option>
))}
</select>
</div>
{selectedAgent && (
<div className="text-xs text-gray-500">
Doc-Type: <code>{selectedAgent.doc_type}</code>
</div>
)}
</div>
<div className="space-y-1">
{urls.map((u, i) => (
<div key={i} className="flex gap-2">
<span className="text-xs font-mono text-gray-500 w-8 pt-1.5">URL{i+1}</span>
<input value={u}
onChange={e => {
const next = [...urls]; next[i] = e.target.value
setUrls(next)
}}
placeholder="https://example.com/impressum"
className="flex-1 border rounded px-2 py-1 text-sm font-mono"/>
</div>
))}
</div>
<div className="flex gap-2">
<button onClick={startTest}
disabled={running}
className="bg-blue-600 hover:bg-blue-700 disabled:bg-gray-400 text-white text-sm px-4 py-2 rounded">
{running ? 'Laufend...' : 'Test starten'}
</button>
{runId && (
<span className="text-xs text-gray-500 self-center">
Run-ID: <code>{runId}</code>
</span>
)}
</div>
{error && (
<div className="bg-red-50 border-l-4 border-red-400 p-2 text-sm text-red-700">
{error}
</div>
)}
</div>
<InputCard
agents={agents}
agentId={agentId}
setAgentId={setAgentId}
selectedAgent={selectedAgent}
urls={urls}
setUrls={setUrls}
running={running}
runId={runId}
startTest={startTest}
error={error}
/>
{running && events.length > 0 && (
<div className="rounded-lg border bg-gray-50 p-3 max-h-48 overflow-y-auto">
<div className="text-xs font-mono space-y-1">
{events.slice(-30).map((ev, i) => (
<div key={i}>
<span className="text-gray-400">[{ev.type}]</span>{' '}
{ev.slot && <span className="text-blue-600">{ev.slot}</span>}{' '}
{ev.severity && (
<span className={severityColor(ev.severity)}>
{ev.severity}
</span>
)}{' '}
{ev.title || ev.error || ev.label || ev.model || ev.url || ''}
</div>
))}
</div>
</div>
)}
<MethodikInfo />
{running && events.length > 0 && <EventLog events={events} />}
{slotOutputs.length > 0 && (
<div className="space-y-3">
{slotOutputs.map(({ slot, output }) => (
<SlotCard key={slot} slot={slot} output={output} runId={runId}/>
<AgentSlotCard
key={slot} slot={slot} output={output} runId={runId}
/>
))}
</div>
)}
@@ -281,174 +170,147 @@ export function AgentTestTab() {
)
}
function SlotCard({ slot, output, runId }: {
slot: string
output: SlotOutput
function InputCard({
agents, agentId, setAgentId, selectedAgent, urls, setUrls,
running, runId, startTest, error,
}: {
agents: AgentInfo[]
agentId: string
setAgentId: (s: string) => void
selectedAgent?: AgentInfo
urls: string[]
setUrls: (urls: string[]) => void
running: boolean
runId: string
startTest: () => void
error: string
}) {
const [showAll, setShowAll] = useState(false)
const visibleFindings = showAll ? output.findings : output.findings.slice(0, 8)
const wasSkipped = output.mc_total > 0 &&
output.mc_ok === 0 && output.mc_na === 0 &&
output.mc_high === 0 && output.mc_medium === 0 && output.mc_low === 0
const allGreen = !wasSkipped && output.findings.length === 0
return (
<div className="rounded-lg border bg-white p-4 space-y-3">
<div className="flex items-baseline gap-3">
<h3 className="font-semibold text-gray-800">Slot: {slot}</h3>
<span className="text-xs text-gray-500">
{output.duration_ms} ms · confidence {(output.confidence * 100).toFixed(0)}%
</span>
{wasSkipped && (
<span className="text-xs bg-amber-100 text-amber-800 px-2 py-0.5 rounded">
Dokument konnte nicht geladen werden (leer/zu kurz)
</span>
<div className="rounded-lg border bg-white p-4 space-y-3 shadow-sm">
<h2 className="text-lg font-semibold">Agent-Test (max. {MAX_SLOTS} URLs)</h2>
<div className="flex flex-wrap gap-3 items-end">
<div>
<label className="block text-xs font-medium text-gray-600">Agent</label>
<select
value={agentId}
onChange={e => setAgentId(e.target.value)}
className="border rounded px-2 py-1 text-sm"
>
{agents.map(a => (
<option key={a.agent_id} value={a.agent_id}>
{a.agent_id} v{a.agent_version} ({a.mc_count} MCs)
</option>
))}
</select>
</div>
{selectedAgent && (
<div className="text-xs text-gray-500">
Doc-Type: <code>{selectedAgent.doc_type}</code>
</div>
)}
{allGreen && (
<span className="text-xs bg-emerald-100 text-emerald-800 px-2 py-0.5 rounded">
Keine Findings alle anwendbaren MCs OK
</span>
)}
<a className="text-xs text-blue-600 hover:underline ml-auto"
href={`/api/sdk/v1/specialist-agent/run/${runId}/artifacts`}
target="_blank" rel="noreferrer">
Artefakte
</a>
</div>
<Speedometer
total={output.mc_total}
ok={output.mc_ok}
na={output.mc_na}
high={output.mc_high}
medium={output.mc_medium}
low={output.mc_low}
/>
{output.escalation_log.length > 0 && (
<div className="text-xs text-gray-500">
Eskalationen:{' '}
{output.escalation_log.map((e, i) => (
<span key={i} className="mr-2">
{e.stage}/{e.model} {e.success ? '✓' : '✗'} ({e.duration_ms} ms)
<div className="space-y-1">
{urls.map((u, i) => (
<div key={i} className="flex gap-2">
<span className="text-xs font-mono text-gray-500 w-8 pt-1.5">
URL{i + 1}
</span>
))}
</div>
)}
{output.findings.length > 0 && (
<div className="space-y-1">
<div className="text-xs font-semibold uppercase text-gray-600">
Findings ({output.findings.length})
<input
value={u}
onChange={e => {
const next = [...urls]; next[i] = e.target.value
setUrls(next)
}}
placeholder="https://example.com/impressum"
className="flex-1 border rounded px-2 py-1 text-sm font-mono"
/>
</div>
{visibleFindings.map(f => (
<FindingRow key={f.check_id} f={f}/>
))}
{output.findings.length > 8 && (
<button onClick={() => setShowAll(x => !x)}
className="text-xs text-blue-600 hover:underline">
{showAll ? 'Weniger anzeigen' : `Alle ${output.findings.length} anzeigen`}
</button>
)}
</div>
)}
{output.recommendations.length > 0 && (
<div className="space-y-1">
<div className="text-xs font-semibold uppercase text-gray-600">
Empfehlungen ({output.recommendations.length}, gerollupt)
</div>
{output.recommendations.map(r => (
<div key={r.recommendation_id}
className="border-l-2 border-emerald-400 bg-emerald-50 p-2 text-xs">
<div className="font-semibold">{r.title}</div>
<div className="text-gray-600">{r.body}</div>
<div className="text-[10px] text-gray-500 mt-1">
{r.related_finding_ids.length} Finding(s) · ~{r.estimated_effort_hours}h
</div>
</div>
))}
</div>
)}
</div>
)
}
function Speedometer({ total, ok, na, high, medium, low }: {
total: number
ok: number
na: number
high: number
medium: number
low: number
}) {
const safeTotal = Math.max(total, 1)
return (
<div className="space-y-1">
<div className="text-xs text-gray-500">{total} MCs geprüft</div>
<div className="flex h-4 rounded overflow-hidden border">
<Bar pct={(ok / safeTotal) * 100} color="#10b981"/>
<Bar pct={(na / safeTotal) * 100} color="#94a3b8"/>
<Bar pct={(high / safeTotal) * 100} color="#dc2626"/>
<Bar pct={(medium / safeTotal) * 100} color="#f59e0b"/>
<Bar pct={(low / safeTotal) * 100} color="#3b82f6"/>
</div>
<div className="flex flex-wrap gap-2 text-xs">
<Legend color="#10b981" label={`OK ${ok}`}/>
<Legend color="#94a3b8" label={`n/a ${na}`}/>
<Legend color="#dc2626" label={`HIGH ${high}`}/>
<Legend color="#f59e0b" label={`MEDIUM ${medium}`}/>
<Legend color="#3b82f6" label={`LOW ${low}`}/>
</div>
</div>
)
}
function Bar({ pct, color }: { pct: number; color: string }) {
return <div style={{ width: `${pct}%`, background: color }}/>
}
function Legend({ color, label }: { color: string; label: string }) {
return (
<span className="inline-flex items-center gap-1">
<span style={{ background: color }} className="w-2 h-2 inline-block rounded"/>
<span>{label}</span>
</span>
)
}
function FindingRow({ f }: { f: Finding }) {
const color = severityHex(f.severity)
const sourceTags = (f.sources || [])
.map(s => s.source_type)
.filter((v, i, arr) => arr.indexOf(v) === i)
return (
<div className="p-2 border-l-2" style={{ borderColor: color }}>
<div className="flex items-baseline gap-2 text-xs">
<span style={{ color }} className="font-semibold">{f.severity}</span>
<code className="text-gray-500">{f.check_id}</code>
{sourceTags.map(t => (
<span key={t} className="px-1 bg-gray-100 rounded text-[10px]">{t}</span>
))}
</div>
<div className="text-sm">{f.title}</div>
{f.norm && <div className="text-[11px] text-gray-500">{f.norm}</div>}
{f.evidence && (
<div className="text-[11px] italic text-gray-600 mt-1">{f.evidence}"</div>
)}
{f.action && (
<div className="text-[11px] text-emerald-700 mt-1">
{f.action}
<div className="flex gap-2">
<button
onClick={startTest}
disabled={running}
className="bg-blue-600 hover:bg-blue-700 disabled:bg-gray-400 text-white text-sm px-4 py-2 rounded"
>
{running ? 'Laufend...' : 'Test starten'}
</button>
{runId && (
<span className="text-xs text-gray-500 self-center">
Run-ID: <code>{runId}</code>
</span>
)}
</div>
{error && (
<div className="bg-red-50 border-l-4 border-red-400 p-2 text-sm text-red-700">
{error}
</div>
)}
</div>
)
}
function MethodikInfo() {
return (
<details className="rounded border bg-slate-50 px-3 py-2 text-xs text-gray-700">
<summary className="cursor-pointer font-semibold">
Methodik wie geprüft wird
</summary>
<ol className="list-decimal ml-5 mt-2 space-y-1">
<li>
<strong>Machine-Checks (MCs)</strong> deterministische
Pattern-Tests gegen Gesetzestext (z.B. § 5 TMG). Schnell,
reproduzierbar.
</li>
<li>
<strong>Knowledge-Base</strong> kuratierte Patterns aus
anonymisierten Mandanten-FAQs.
</li>
<li>
<strong>LLM-Eskalation</strong> nur bei unklaren MCs:
erst lokales qwen2.5:7b, bei Bedarf größeres OVH-Modell.
Claude (Cloud) erst nach Anonymisierung.
</li>
<li>
<strong>Cross-Doc-Vergleich</strong> Konsistenz zwischen
DSE, Cookie-Policy, Impressum (späterer Agent).
</li>
</ol>
<p className="mt-2 italic text-gray-500">
Disclaimer: keine Aussagen wie "rechtssicher" oder "konform"
nur Findings + Empfehlungen + Herleitung. Verbotene Begriffe
werden vom Linter aus Agent-Outputs entfernt.
</p>
</details>
)
}
function EventLog({ events }: { events: StreamEvent[] }) {
return (
<div className="rounded border bg-gray-50 p-3 max-h-48 overflow-y-auto">
<div className="text-xs font-mono space-y-0.5">
{events.slice(-30).map((ev, i) => (
<div key={i}>
<span className="text-gray-400">[{ev.type}]</span>{' '}
{ev.slot && <span className="text-blue-600">{ev.slot}</span>}{' '}
{ev.severity && (
<span className={severityColor(ev.severity)}>{ev.severity}</span>
)}{' '}
{ev.title || ev.error || ev.label || ev.model || ev.url || ''}
{ev.word_count !== undefined && (
<span className="text-gray-500">
{' '}({ev.word_count} Wörter)
</span>
)}
</div>
))}
</div>
</div>
)
}
function severityColor(sev: string) {
return sev === 'HIGH' ? 'text-red-600 font-semibold' :
sev === 'MEDIUM' ? 'text-amber-600 font-semibold' :
sev === 'LOW' ? 'text-blue-600' : 'text-gray-600'
}
function severityHex(sev: string) {
return sev === 'HIGH' ? '#dc2626' :
sev === 'MEDIUM' ? '#f59e0b' :
sev === 'LOW' ? '#3b82f6' : '#94a3b8'
}
@@ -0,0 +1,153 @@
// Shared types for the agent-test UI.
//
// SourceType-Mapping zur Methodik-Anzeige:
// mc / regex → "Machine-Check (deterministisch)"
// kb_faq → "Knowledge-Base (kuratiert)"
// llm_local → "Lokales LLM (qwen2.5:7b)"
// llm_local_big → "Externes LLM (OVH 120b)"
// llm_cloud → "Cloud-LLM (Claude, anonymisiert)"
// cross → "Cross-Doc-Vergleich"
export type Severity = 'HIGH' | 'MEDIUM' | 'LOW' | 'INFO'
export type SourceType =
| 'mc'
| 'regex'
| 'kb_faq'
| 'llm_local'
| 'llm_local_big'
| 'llm_cloud'
| 'cross'
export interface EvidenceSource {
source_type: SourceType
source_id: string
detail?: string
confidence?: number
}
export interface Finding {
check_id: string
agent: string
agent_version: string
field_id?: string
severity: Severity
severity_reason?: string
title: string
norm?: string
evidence?: string
action?: string
confidence?: number
sources?: EvidenceSource[]
}
export interface Recommendation {
recommendation_id: string
title: string
body: string
severity: Severity
related_finding_ids: string[]
estimated_effort_hours: number
}
export interface McCoverage {
mc_id: string
status: 'ok' | 'na' | 'high' | 'medium' | 'low' | 'skipped'
reason?: string
}
export interface EscalationLog {
stage: SourceType
model: string
duration_ms: number
tokens_in?: number
tokens_out?: number
success: boolean
error?: string
}
export interface SlotOutput {
agent: string
agent_version: string
findings: Finding[]
recommendations: Recommendation[]
mc_coverage: McCoverage[]
escalation_log: EscalationLog[]
mc_total: number
mc_ok: number
mc_na: number
mc_high: number
mc_medium: number
mc_low: number
duration_ms: number
confidence: number
notes?: string
}
export interface AgentInfo {
agent_id: string
agent_version: string
doc_type: string
mc_count: number
}
export interface RunResult {
run_id: string
agent_id: string
finished: boolean
results: Record<string, SlotOutput>
vault_url: string
}
export interface StreamEvent {
type: string
slot?: string
[key: string]: any
}
// ── Methodik-Labels für die Source-Type-Badge ───────────────────────
export const METHODIK_LABEL: Record<SourceType, string> = {
mc: 'Machine-Check (deterministisch)',
regex: 'Pattern-Match (deterministisch)',
kb_faq: 'Knowledge-Base (kuratiert)',
llm_local: 'Lokales LLM (qwen2.5:7b)',
llm_local_big: 'Externes LLM (OVH 120b)',
llm_cloud: 'Cloud-LLM (anonymisiert)',
cross: 'Cross-Doc-Vergleich',
}
export const METHODIK_SHORT: Record<SourceType, string> = {
mc: 'MC',
regex: 'Regex',
kb_faq: 'KB',
llm_local: 'LLM',
llm_local_big: 'LLM⁺',
llm_cloud: 'Claude',
cross: 'Cross',
}
// Background/foreground colors für die Methodik-Badge.
export const METHODIK_COLOR: Record<SourceType, { bg: string; fg: string }> = {
mc: { bg: '#e0e7ff', fg: '#3730a3' },
regex: { bg: '#e0e7ff', fg: '#3730a3' },
kb_faq: { bg: '#fef3c7', fg: '#92400e' },
llm_local: { bg: '#dcfce7', fg: '#166534' },
llm_local_big: { bg: '#bbf7d0', fg: '#14532d' },
llm_cloud: { bg: '#fce7f3', fg: '#9d174d' },
cross: { bg: '#fed7aa', fg: '#9a3412' },
}
export const SEVERITY_COLOR: Record<Severity, string> = {
HIGH: '#dc2626',
MEDIUM: '#f59e0b',
LOW: '#3b82f6',
INFO: '#64748b',
}
export const SEVERITY_BG: Record<Severity, string> = {
HIGH: '#fef2f2',
MEDIUM: '#fffbeb',
LOW: '#eff6ff',
INFO: '#f8fafc',
}