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

534 lines
23 KiB
TypeScript
Raw Normal View History

2026-07-02 10:10:06 +02:00
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'
const ratingToNum = (r: FeedbackRating | null | undefined): number => {
const m: Record<FeedbackRating, number> = { na: 0, not_client_ready: 1, partially_client_ready: 2, nearly_client_ready: 3, client_ready: 4 }
return r ? (m[r] ?? 0) : 0
}
// ── Rating-Skala ─────────────────────────────────────────────────────────────
const RATINGS: { value: FeedbackRating; short: string; label: string; color: string }[] = [
{ value: 'na', short: 'N/A', label: 'N/A (0)', color: 'bg-gray-100 text-gray-500 border-gray-300' },
{ value: 'not_client_ready', short: 'Not', label: 'Not (1)', color: 'bg-red-100 text-red-700 border-red-300' },
{ value: 'partially_client_ready', short: 'Partially', label: 'Partially (2)', color: 'bg-orange-100 text-orange-700 border-orange-300' },
{ value: 'nearly_client_ready', short: 'Nearly', label: 'Nearly (3)', color: 'bg-green-100 text-green-600 border-green-300' },
{ value: 'client_ready', short: 'Fully', label: 'Fully (4)', color: 'bg-green-100 text-green-800 border-green-400' },
]
const ratingColor = (r: FeedbackRating | undefined) =>
RATINGS.find(x => x.value === r)?.color ?? 'bg-gray-50 text-gray-400 border-gray-200'
// ── KI-Einstellungen aus localStorage ────────────────────────────────────────
const AI_KEY = 'ai_api_key'
const AI_MODEL = 'ai_model'
function getAiSettings() {
return {
apiKey: localStorage.getItem(AI_KEY) ?? '',
model: localStorage.getItem(AI_MODEL) ?? 'openai/gpt-4o-mini',
}
}
function saveAiSettings(apiKey: string, model: string) {
localStorage.setItem(AI_KEY, apiKey)
localStorage.setItem(AI_MODEL, model)
}
// ── Prompt-Builder ────────────────────────────────────────────────────────────
async function buildAiPrompt(
institutee: Consultant,
assignment: Assignment,
dimensions: FeedbackDimension[],
categories: FeedbackCategory[],
_items: FeedbackCriterionItem[],
ratings: FeedbackCategoryRating[],
_feedbackId: number,
): 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 critIds = [...new Set(instAssessments.map(a => a.criteriaId))]
const crits = critIds.length > 0
? await db.criteria.where('id').anyOf(critIds).toArray()
: []
const scoreLines = crits.map(c => {
const scores = instAssessments.filter(a => a.criteriaId === c.id && a.score !== null)
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)
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
.filter(e => e.note)
.map(e => ` - ${e.note}${(e.fillerCount ?? 0) > 0 ? ` [äh×${e.fillerCount}]` : ''}`)
.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 = RATINGS.find(x => x.value === r?.rating)?.label ?? 'nicht bewertet'
return ` ${cat.name}: ${rating}`
}).join('\n')
return ` Dimension "${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 (Kurznotizen aus dem Gespräch, Notation: + gut, ! negativ, > Kundeninput):
${protocolLines || '(keine Protokolleinträge)'}
KATEGORIE-BEWERTUNGEN:
${ratingLines}
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".
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 [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)
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)
// ── 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, feedback.id)
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-[#0070AD] 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-[#0070AD] 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-[#0070AD] 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-[#0070AD] text-white hover:bg-[#005a8e]'
}`}>
{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}`}>
{RATINGS.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">
{RATINGS.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>
{/* 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>
)
}