CG-Feedback-Monitor/src/pages/AssignmentFeedbackPage.tsx

import { useCallback, useEffect, useRef, useState } from 'react'
import { useNavigate, useParams } from 'react-router-dom'
import {
  db,
  type Assignment,
  type Consultant,
  type FeedbackDimension,
  type FeedbackCategory,
  type FeedbackCriterionItem,
  type AssignmentFeedback,
  type FeedbackCategoryRating,
  type FeedbackDimensionText,
  type FeedbackRating,
} from '../db'
import { RATING_OPTIONS, RATING_NUM_MAP, AI_CONFIG, DEFAULT_RATING_TREND_WEIGHT_STEP } from '../config/constants'
import { buildGroupMeetingScores, computeTrend, numberToRating, type TrendResult } from '../utils/ratingTrend'
import { splitNoteLines } from '../utils/notationParser'

const ratingToNum = (r: FeedbackRating | null | undefined): number =>
  r ? (RATING_NUM_MAP[r] ?? 0) : 0

const ratingColor = (r: FeedbackRating | undefined) =>
  RATING_OPTIONS.find(x => x.value === r)?.color ?? 'bg-gray-50 text-gray-400 border-gray-200'

const trendArrow = (trend: TrendResult['trend']) => {
  if (trend === 'up') return <span title="Verbesserung über die Laufzeit">↑</span>
  if (trend === 'down') return <span title="Verschlechterung über die Laufzeit">↓</span>
  return null
}

function getAiSettings() {
  return {
    apiKey: localStorage.getItem(AI_CONFIG.localStorageKeyApiKey) ?? '',
    model:  localStorage.getItem(AI_CONFIG.localStorageKeyModel) ?? AI_CONFIG.defaultModel,
  }
}

function saveAiSettings(apiKey: string, model: string) {
  localStorage.setItem(AI_CONFIG.localStorageKeyApiKey, apiKey)
  localStorage.setItem(AI_CONFIG.localStorageKeyModel, model)
}

// ── Prompt-Builder ────────────────────────────────────────────────────────────

async function buildAiPrompt(
  institutee: Consultant,
  assignment: Assignment,
  dimensions: FeedbackDimension[],
  categories: FeedbackCategory[],
  items: FeedbackCriterionItem[],
  ratings: FeedbackCategoryRating[],
  catTrends: Map<number, TrendResult>,
): Promise<string> {
  const meetings = await db.meetingInstances.where('assignmentId').equals(assignment.id!).toArray()
  const meetingIds = meetings.map(m => m.id!)

  const [allAssessments, allEntries] = await Promise.all([
    db.assessments.where('meetingInstanceId').anyOf(meetingIds).toArray(),
    db.conversationEntries.where('meetingInstanceId').anyOf(meetingIds).toArray(),
  ])

  const instAssessments = allAssessments.filter(a => a.instituteeId === institutee.id)
  const instEntries     = allEntries.filter(e => e.instituteeId === institutee.id)

  const allLineTags = instEntries.flatMap(e => e.lineTags ?? [])

  const critIds = [...new Set([
    ...instAssessments.map(a => a.criteriaId),
    ...allLineTags.map(t => t.criterionItemId),
  ])]
  const crits   = items.filter(i => critIds.includes(i.id!))

  const scoreLines = crits.map(c => {
    const scores = instAssessments.filter(a => a.criteriaId === c.id && a.score !== null && a.score !== 'na')
    const avg    = scores.length > 0
      ? (scores.reduce((s, a) => s + ratingToNum(a.score), 0) / scores.length).toFixed(1)
      : '—'
    const notes  = [
      ...instAssessments.filter(a => a.criteriaId === c.id && a.note).map(a => a.note),
      ...allLineTags.filter(t => t.criterionItemId === c.id).map(t => t.text),
    ]
    return `  ${c.name}: ${avg}/5${notes.length > 0 ? ` | Notizen: ${notes.join('; ')}` : ''}`
  }).join('\n')

  const fillerTotal = instEntries.reduce((s, e) => s + (e.fillerCount ?? 0), 0)
  const protocolLines = instEntries
    .flatMap(e => splitNoteLines(e.note).map(line => ({
      line, tagged: (e.lineTags ?? []).some(t => t.text === line),
    })))
    .filter(x => !x.tagged)
    .map(x => `  - ${x.line}`)
    .join('\n')

  // Kategorie-Ratings
  const ratingLines = dimensions.map(dim => {
    const dimCats = categories.filter(c => c.dimensionId === dim.id)
    const lines = dimCats.map(cat => {
      const r = ratings.find(r => r.feedbackCategoryId === cat.id)
      const rating = RATING_OPTIONS.find(x => x.value === r?.rating)?.label ?? 'nicht bewertet'
      return `    ${cat.name}: ${rating}`
    }).join('\n')
    return `  Dimension "${dim.name}":\n${lines}`
  }).join('\n')

  // Entwicklung über die Laufzeit (zeitgewichteter Trend pro Kategorie)
  const trendLines = dimensions.map(dim => {
    const dimCats = categories.filter(c => c.dimensionId === dim.id)
    const lines = dimCats.map(cat => {
      const t = catTrends.get(cat.id!)
      if (!t || t.history.length === 0) return `    ${cat.name}: keine Verlaufsdaten`
      const seq = t.history.map(h => h.score.toFixed(1)).join(' → ')
      const trendLabel = t.trend === 'up' ? 'Verbesserung über die Laufzeit'
        : t.trend === 'down' ? 'Verschlechterung über die Laufzeit'
        : t.trend === 'stable' ? 'stabil'
        : 'nur ein Meeting, kein Trend ableitbar'
      return `    ${cat.name}: Verlauf ${seq} (${trendLabel})`
    }).join('\n')
    return `  Dimension "${dim.name}":\n${lines}`
  }).join('\n')

  // Feedback-Struktur für Output
  const dimStructure = dimensions.map((dim, i) =>
    `${i + 1}. ${dim.name}`
  ).join('\n')

  return `Du bist Führungskraft und Mentor bei Capgemini. Erstelle ein professionelles, konstruktives Performance-Feedback für einen Berater/Trainee auf Basis der folgenden Beobachtungsdaten aus echten Kundenterminen.

BERATER: ${institutee.firstName} ${institutee.lastName}
ASSIGNMENT: ${assignment.title} | Kunde: ${assignment.client}
MEETINGS: ${meetings.length} Kundentermin(e)
FÜLLWÖRTER GESAMT: ${fillerTotal}

BEOBACHTETE KRITERIEN UND SCORES (1-5):
${scoreLines || '(keine Scores erfasst)'}

PROTOKOLL-NOTIZEN, KEINEM KRITERIUM ZUGEORDNET (Notation: + gut, ! negativ, > Kundeninput):
${protocolLines || '(keine nicht zugeordneten Protokolleinträge)'}

KATEGORIE-BEWERTUNGEN:
${ratingLines}

ENTWICKLUNG ÜBER DIE LAUFZEIT (chronologische Kategorie-Scores aus den Meetings, Skala 0-4):
${trendLines}

Generiere für jede der folgenden ${dimensions.length} Dimensionen je einen kurzen Absatz "Achievements" (2-4 Sätze, konkret, anerkennend) und "Development Needs" (2-4 Sätze, konstruktiv, handlungsorientiert). Falls eine Dimension aus den Daten nicht beurteilbar ist, schreibe "n/a". Erwähne eine erkennbare Verbesserung im Achievements-Absatz und eine erkennbare Verschlechterung im Development-Needs-Absatz der jeweiligen Dimension.

Ausgabe als JSON:
{
  "dimensions": [
    {
      "name": "<Dimensionsname>",
      "achievements": "<Text>",
      "developmentNeeds": "<Text>"
    }
  ]
}

DIMENSIONEN:
${dimStructure}

Wichtig: Beziehe dich auf konkrete Beobachtungen aus den Daten. Schreibe direkt und persönlich (du-Form). Vermeide generische Phrasen.`
}

// ─── Komponente ───────────────────────────────────────────────────────────────

export default function AssignmentFeedbackPage() {
  const { id, instituteeId } = useParams()
  const navigate = useNavigate()
  const assignmentId = Number(id)
  const instId       = Number(instituteeId)

  const [assignment, setAssignment]   = useState<Assignment | null>(null)
  const [institutee, setInstitutee]   = useState<Consultant | null>(null)
  const [dimensions, setDimensions]   = useState<FeedbackDimension[]>([])
  const [categories, setCategories]   = useState<FeedbackCategory[]>([])
  const [items, setItems]             = useState<FeedbackCriterionItem[]>([])
  const [feedback, setFeedback]       = useState<AssignmentFeedback | null>(null)
  const [ratings, setRatings]         = useState<FeedbackCategoryRating[]>([])
  const [dimTexts, setDimTexts]       = useState<FeedbackDimensionText[]>([])
  const [expanded, setExpanded]       = useState<Set<number>>(new Set())
  const [catTrends, setCatTrends]     = useState<Map<number, TrendResult>>(new Map())
  const [showAiSettings, setShowAiSettings] = useState(false)
  const [aiKey, setAiKey]             = useState(getAiSettings().apiKey)
  const [aiModel, setAiModel]         = useState(getAiSettings().model)
  const [generating, setGenerating]   = useState(false)
  const [aiError, setAiError]         = useState('')
  const saveTimer = useRef<Map<string, ReturnType<typeof setTimeout>>>(new Map())

  const load = useCallback(async () => {
    const [a, cons, dims, cats, itms] = await Promise.all([
      db.assignments.get(assignmentId),
      db.consultants.get(instId),
      db.feedbackDimensions.orderBy('order').toArray(),
      db.feedbackCategories.orderBy('order').toArray(),
      db.feedbackCriterionItems.orderBy('order').toArray(),
    ])
    setAssignment(a ?? null)
    setInstitutee(cons ?? null)
    setDimensions(dims)
    setCategories(cats)
    setItems(itms)

    const meetings = (await db.meetingInstances.where('assignmentId').equals(assignmentId).toArray())
      .filter(m => !m.deletedAt && m.status === 'done')
      .sort((x, y) => new Date(x.date).getTime() - new Date(y.date).getTime())
    const meetingIds = meetings.map(m => m.id!)
    const [meetingAssessments, settings] = await Promise.all([
      meetingIds.length > 0 ? db.assessments.where('meetingInstanceId').anyOf(meetingIds).toArray() : Promise.resolve([]),
      db.appSettings.get(1),
    ])
    const weightStep = settings?.ratingTrendWeightStep ?? DEFAULT_RATING_TREND_WEIGHT_STEP
    const instAssessments = meetingAssessments.filter(as => as.instituteeId === instId)
    const getScore = (meetingId: number, itemId: number): FeedbackRating | null =>
      instAssessments.find(as => as.meetingInstanceId === meetingId && as.criteriaId === itemId)?.score ?? null

    const trends = new Map<number, TrendResult>()
    for (const cat of cats) {
      const catItems = itms.filter(i => i.categoryId === cat.id)
      const history = buildGroupMeetingScores(catItems, meetings, getScore)
      trends.set(cat.id!, computeTrend(history, weightStep))
    }
    setCatTrends(trends)

    let fb = await db.assignmentFeedbacks
      .where('assignmentId').equals(assignmentId)
      .filter(f => f.instituteeId === instId)
      .first()
    if (!fb) {
      const fbId = await db.assignmentFeedbacks.add({
        assignmentId, instituteeId: instId,
        status: 'draft', aiModel: '', updatedAt: new Date().toISOString(),
      })
      fb = await db.assignmentFeedbacks.get(fbId)
    }
    setFeedback(fb ?? null)

    if (fb?.id) {
      const [rs, txts] = await Promise.all([
        db.feedbackCategoryRatings.where('assignmentFeedbackId').equals(fb.id).toArray(),
        db.feedbackDimensionTexts.where('assignmentFeedbackId').equals(fb.id).toArray(),
      ])
      setRatings(rs)
      setDimTexts(txts)
    }

    // Alle Dimensionen initial expandiert
    setExpanded(new Set(dims.map(d => d.id!)))
  }, [assignmentId, instId])

  useEffect(() => { load() }, [load])

  // ── Rating setzen ─────────────────────────────────────────────────────────

  const setRating = async (categoryId: number, rating: FeedbackRating) => {
    if (!feedback?.id) return
    const existing = ratings.find(r => r.feedbackCategoryId === categoryId)
    if (existing?.id) {
      await db.feedbackCategoryRatings.update(existing.id, { rating })
      setRatings(prev => prev.map(r => r.feedbackCategoryId === categoryId ? { ...r, rating } : r))
    } else {
      const newId = await db.feedbackCategoryRatings.add({
        assignmentFeedbackId: feedback.id, feedbackCategoryId: categoryId, rating,
      })
      setRatings(prev => [...prev, { id: newId, assignmentFeedbackId: feedback.id!, feedbackCategoryId: categoryId, rating }])
    }
  }

  const getRating = (categoryId: number): FeedbackRating | undefined =>
    ratings.find(r => r.feedbackCategoryId === categoryId)?.rating

  // ── Text speichern (debounced) ────────────────────────────────────────────

  const saveDimText = (dimId: number, field: 'achievements' | 'developmentNeeds', value: string) => {
    setDimTexts(prev => {
      const existing = prev.find(t => t.feedbackDimensionId === dimId)
      if (existing) return prev.map(t => t.feedbackDimensionId === dimId ? { ...t, [field]: value } : t)
      return [...prev, { assignmentFeedbackId: feedback?.id ?? 0, feedbackDimensionId: dimId, achievements: '', developmentNeeds: '', [field]: value }]
    })
    const key = `${dimId}-${field}`
    const prev = saveTimer.current.get(key)
    if (prev) clearTimeout(prev)
    saveTimer.current.set(key, setTimeout(async () => {
      if (!feedback?.id) return
      const existing = await db.feedbackDimensionTexts
        .where('assignmentFeedbackId').equals(feedback.id)
        .filter(t => t.feedbackDimensionId === dimId)
        .first()
      if (existing?.id) {
        await db.feedbackDimensionTexts.update(existing.id, { [field]: value })
      } else {
        await db.feedbackDimensionTexts.add({
          assignmentFeedbackId: feedback.id,
          feedbackDimensionId: dimId,
          achievements: field === 'achievements' ? value : '',
          developmentNeeds: field === 'developmentNeeds' ? value : '',
        })
      }
    }, 600))
  }

  const getDimText = (dimId: number) =>
    dimTexts.find(t => t.feedbackDimensionId === dimId)

  const appendTrendSentence = (dimId: number, cat: FeedbackCategory, trend: TrendResult) => {
    if (trend.trend !== 'up' && trend.trend !== 'down') return
    const field = trend.trend === 'up' ? 'achievements' : 'developmentNeeds'
    const firstLabel = RATING_OPTIONS.find(o => o.value === numberToRating(trend.history[0].score))?.short
    const lastLabel  = RATING_OPTIONS.find(o => o.value === numberToRating(trend.history[trend.history.length - 1].score))?.short
    const verb = trend.trend === 'up' ? 'Verbesserung' : 'Verschlechterung'
    const sentence = `Zeigt im Verlauf des Assignments in ${cat.name} eine ${verb} von ${firstLabel} zu ${lastLabel}.`
    const existing = getDimText(dimId)?.[field] ?? ''
    saveDimText(dimId, field, existing ? `${existing}\n${sentence}` : sentence)
  }

  // ── KI-Generierung ────────────────────────────────────────────────────────

  const generateWithAi = async () => {
    if (!institutee || !assignment || !feedback?.id) return
    const settings = getAiSettings()
    if (!settings.apiKey) { setShowAiSettings(true); return }

    setGenerating(true)
    setAiError('')
    try {
      const prompt = await buildAiPrompt(institutee, assignment, dimensions, categories, items, ratings, catTrends)

      const res = await fetch('https://openrouter.ai/api/v1/chat/completions', {
        method: 'POST',
        headers: {
          'Authorization': `Bearer ${settings.apiKey}`,
          'Content-Type': 'application/json',
          'HTTP-Referer': window.location.origin,
          'X-Title': 'Assignment Monitor',
        },
        body: JSON.stringify({
          model: settings.model,
          messages: [{ role: 'user', content: prompt }],
          response_format: { type: 'json_object' },
        }),
      })

      if (!res.ok) throw new Error(`API Error: ${res.status} ${res.statusText}`)

      const data = await res.json()
      const text = data.choices?.[0]?.message?.content ?? ''
      const parsed = JSON.parse(text) as { dimensions: { name: string; achievements: string; developmentNeeds: string }[] }

      // Texte in DB schreiben
      for (const item of parsed.dimensions) {
        const dim = dimensions.find(d => d.name === item.name || item.name.includes(d.name.split(',')[0]))
        if (!dim?.id) continue
        const existing = await db.feedbackDimensionTexts
          .where('assignmentFeedbackId').equals(feedback.id)
          .filter(t => t.feedbackDimensionId === dim.id)
          .first()
        if (existing?.id) {
          await db.feedbackDimensionTexts.update(existing.id, {
            achievements: item.achievements,
            developmentNeeds: item.developmentNeeds,
          })
        } else {
          await db.feedbackDimensionTexts.add({
            assignmentFeedbackId: feedback.id,
            feedbackDimensionId: dim.id,
            achievements: item.achievements,
            developmentNeeds: item.developmentNeeds,
          })
        }
      }
      await db.assignmentFeedbacks.update(feedback.id, { aiModel: settings.model, updatedAt: new Date().toISOString() })
      await load()
    } catch (e) {
      setAiError(e instanceof Error ? e.message : 'Unbekannter Fehler')
    } finally {
      setGenerating(false)
    }
  }

  const toggleFinal = async () => {
    if (!feedback?.id) return
    const next = feedback.status === 'final' ? 'draft' : 'final'
    await db.assignmentFeedbacks.update(feedback.id, { status: next, updatedAt: new Date().toISOString() })
    setFeedback(prev => prev ? { ...prev, status: next } : null)
  }

  if (!assignment || !institutee) return <div className="text-center py-10 text-gray-400">Lädt…</div>

  return (
    <div className="space-y-4">
      {/* Header */}
      <div className="flex items-start justify-between">
        <div>
          <button onClick={() => navigate(`/assignment/${assignmentId}`)}
            className="text-xs text-brand mb-0.5 block">← Assignment</button>
          <h1 className="text-xl font-bold text-gray-800">
            Feedback: {institutee.firstName} {institutee.lastName}
          </h1>
          <div className="text-sm text-gray-500">{assignment.title} · {assignment.client}</div>
        </div>
        <div className="flex flex-col gap-1.5 items-end flex-shrink-0">
          <button onClick={toggleFinal}
            className={`text-xs px-3 py-1.5 rounded-lg font-medium border ${
              feedback?.status === 'final'
                ? 'bg-green-600 text-white border-green-600'
                : 'bg-white text-gray-500 border-gray-200'
            }`}>
            {feedback?.status === 'final' ? '✓ Final' : 'Entwurf'}
          </button>
          <button onClick={() => setShowAiSettings(p => !p)}
            className="text-xs text-gray-400 hover:text-gray-600">
            ⚙ KI-Einstellungen
          </button>
        </div>
      </div>

      {/* KI-Einstellungen */}
      {showAiSettings && (
        <div className="bg-blue-50 border border-blue-100 rounded-xl p-4 space-y-3">
          <div className="text-sm font-semibold text-blue-700">KI-Einstellungen (OpenRouter)</div>
          <div className="text-xs text-blue-500">
            API-Key von <span className="font-mono">openrouter.ai</span> — wird lokal gespeichert, nie übertragen.
          </div>
          <input
            type="password"
            className="w-full border border-blue-200 rounded-lg px-3 py-2 text-sm focus:outline-none focus:border-brand bg-white"
            placeholder="sk-or-..."
            value={aiKey}
            onChange={e => setAiKey(e.target.value)}
          />
          <select
            className="w-full border border-blue-200 rounded-lg px-3 py-2 text-sm bg-white"
            value={aiModel}
            onChange={e => setAiModel(e.target.value)}>
            <option value="openai/gpt-4o-mini">GPT-4o mini (günstig)</option>
            <option value="openai/gpt-4o">GPT-4o</option>
            <option value="anthropic/claude-sonnet-4-5">Claude Sonnet 4.5</option>
            <option value="anthropic/claude-haiku-4-5">Claude Haiku 4.5 (schnell)</option>
            <option value="google/gemini-flash-1.5">Gemini Flash 1.5</option>
          </select>
          <div className="flex gap-2">
            <button onClick={() => { saveAiSettings(aiKey, aiModel); setShowAiSettings(false) }}
              className="flex-1 py-2 rounded-lg text-sm font-medium bg-brand text-white">
              Speichern
            </button>
            <button onClick={() => setShowAiSettings(false)}
              className="px-4 py-2 rounded-lg text-sm border border-gray-200 text-gray-500">
              Abbrechen
            </button>
          </div>
        </div>
      )}

      {/* KI-Generieren Button */}
      <div className="flex items-center gap-3">
        <button
          onClick={generateWithAi}
          disabled={generating}
          className={`flex-1 py-3 rounded-xl text-sm font-medium transition ${
            generating
              ? 'bg-gray-200 text-gray-400 cursor-not-allowed'
              : 'bg-brand text-white hover:bg-brand-dark'
          }`}>
          {generating ? 'Generiere Entwurf…' : '✦ KI-Feedback-Entwurf generieren'}
        </button>
      </div>
      {aiError && (
        <div className="text-xs text-red-600 bg-red-50 border border-red-200 rounded-lg px-3 py-2">
          {aiError}
        </div>
      )}

      {/* Dimensionen */}
      {dimensions.map(dim => {
        const dimCats = categories.filter(c => c.dimensionId === dim.id)
        const isOpen  = expanded.has(dim.id!)
        const text    = getDimText(dim.id!)

        // Zusammenfassung der Bewertungen
        const catRatings = dimCats.map(c => getRating(c.id!)).filter(Boolean) as FeedbackRating[]
        const worstRating = catRatings.includes('not_client_ready') ? 'not_client_ready'
          : catRatings.includes('partially_client_ready') ? 'partially_client_ready'
          : catRatings.includes('nearly_client_ready') ? 'nearly_client_ready'
          : catRatings.includes('client_ready') ? 'client_ready'
          : catRatings.length > 0 ? 'na' : undefined
        const summaryColor = ratingColor(worstRating)

        return (
          <div key={dim.id} className="bg-white rounded-xl shadow-sm border border-gray-100 overflow-hidden">
            {/* Dimension-Header */}
            <button
              onClick={() => setExpanded(prev => {
                const next = new Set(prev)
                if (next.has(dim.id!)) next.delete(dim.id!)
                else next.add(dim.id!)
                return next
              })}
              className="w-full flex items-center justify-between p-4 text-left hover:bg-gray-50 transition">
              <div className="flex items-center gap-2">
                <span className="font-semibold text-gray-800 text-sm">{dim.name}</span>
                {worstRating && (
                  <span className={`text-xs px-2 py-0.5 rounded-full border font-medium ${summaryColor}`}>
                    {RATING_OPTIONS.find(r => r.value === worstRating)?.short}
                  </span>
                )}
              </div>
              <span className="text-gray-400 text-sm">{isOpen ? '▲' : '▼'}</span>
            </button>

            {isOpen && (
              <div className="border-t border-gray-100 p-4 space-y-4">
                {/* Kategorien */}
                {dimCats.map(cat => {
                  const catItems = items.filter(i => i.categoryId === cat.id)
                  const currentRating = getRating(cat.id!)
                  return (
                    <div key={cat.id} className="space-y-2">
                      <div className="font-medium text-sm text-gray-700">{cat.name}</div>

                      {/* Rating-Buttons */}
                      <div className="flex gap-1 flex-wrap">
                        {RATING_OPTIONS.map(r => (
                          <button key={r.value}
                            onClick={() => setRating(cat.id!, r.value)}
                            className={`px-2.5 py-1.5 rounded-lg text-xs font-semibold border transition ${
                              currentRating === r.value
                                ? r.color + ' ring-2 ring-offset-1 ring-current'
                                : 'bg-gray-50 text-gray-400 border-gray-200 hover:bg-gray-100'
                            }`}>
                            {r.short}
                          </button>
                        ))}
                      </div>

                      {/* Bewertungs-Vorschlag aus Meeting-Assessments */}
                      {(() => {
                        const trend = catTrends.get(cat.id!)
                        if (!trend || trend.suggestion === null) return null
                        const suggestedRating = numberToRating(trend.suggestion)
                        const shortLabel = RATING_OPTIONS.find(o => o.value === suggestedRating)?.short
                        return (
                          <div className="flex items-center gap-2 flex-wrap">
                            <span className="text-xs bg-blue-50 text-blue-700 border border-blue-200 px-2 py-1 rounded-lg font-medium">
                              Vorschlag: {shortLabel} ({trend.suggestion.toFixed(1)}) {trendArrow(trend.trend)}
                            </span>
                            <button
                              onClick={() => setRating(cat.id!, suggestedRating)}
                              className="text-xs bg-blue-100 text-blue-700 px-2 py-1 rounded-lg font-medium hover:bg-blue-200">
                              Übernehmen
                            </button>
                            {(trend.trend === 'up' || trend.trend === 'down') && (
                              <button
                                onClick={() => appendTrendSentence(dim.id!, cat, trend)}
                                className="text-xs bg-gray-100 text-gray-600 px-2 py-1 rounded-lg font-medium hover:bg-gray-200">
                                Trend in Text übernehmen
                              </button>
                            )}
                          </div>
                        )
                      })()}

                      {/* Kriterium-Items als Referenz */}
                      {catItems.length > 0 && (
                        <div className="flex flex-wrap gap-1">
                          {catItems.map(item => (
                            <span key={item.id}
                              className="text-xs bg-gray-50 text-gray-400 border border-gray-100 px-2 py-0.5 rounded-full">
                              {item.name}
                            </span>
                          ))}
                        </div>
                      )}
                    </div>
                  )
                })}

                {/* Textfelder */}
                <div className="space-y-3 pt-2 border-t border-gray-50">
                  <div>
                    <label className="text-xs font-semibold text-green-700 uppercase tracking-wide block mb-1.5">
                      Achievements
                    </label>
                    <textarea
                      className="w-full border border-gray-200 rounded-lg px-3 py-2 text-sm focus:outline-none focus:border-green-400 min-h-[80px]"
                      placeholder="Konkrete Stärken und positive Beobachtungen…"
                      value={text?.achievements ?? ''}
                      onChange={e => saveDimText(dim.id!, 'achievements', e.target.value)}
                    />
                  </div>
                  <div>
                    <label className="text-xs font-semibold text-amber-700 uppercase tracking-wide block mb-1.5">
                      Development Needs
                    </label>
                    <textarea
                      className="w-full border border-gray-200 rounded-lg px-3 py-2 text-sm focus:outline-none focus:border-amber-400 min-h-[80px]"
                      placeholder="Entwicklungsfelder und konkrete Handlungsempfehlungen…"
                      value={text?.developmentNeeds ?? ''}
                      onChange={e => saveDimText(dim.id!, 'developmentNeeds', e.target.value)}
                    />
                  </div>
                </div>
              </div>
            )}
          </div>
        )
      })}

      {/* Hinweis für KI-Nutzung */}
      <div className="text-xs text-gray-400 text-center pb-4">
        KI-Entwürfe vor dem Einsatz bitte sorgfältig prüfen und anpassen.
      </div>
    </div>
  )
}