Benjamin Sutter
b2530f9e20
Reale Jahresbelastung (Change 6): - FitOutCostPanel zeigt Jahresmiete + amortisierte Ausbaukosten für alle fitOut-Werte - FULL/PREMIUM: Ausbau CHF 0 (bezugsfertig), SHELL/BASIC: CRB/BKP-Richtwerte amortisiert über 5 J. - Match-Card-Chip zeigt geschätzte Investition (orange wenn >100k) - FitOutInvestment-Typ + calcFitOutInvestment() in fitOutUtils.ts - BackendAIService + MockAIService mit generateFitOutAdvice (IAIService-Interface) Must-have Kriterien (Nicht prüfbar Fix): - ÖV-Anbindung: Minutengrenze aus Freitext extrahiert, gegen publicTransportMinutes geprüft - Mindestfläche: m²-Wert aus Freitext extrahiert, gegen areaSqm geprüft - Ausbaugrad: neues Keyword-Rule für FULL/PREMIUM fitOut-Datenpflege: - fitOut-Werte zu 32 fehlenden Properties ergänzt (Logistik=SHELL, Standard=BASIC, Modern=FULL) - MAB-Werte (200/150/250 CHF/m²) zu 3 BASIC-Objekten hinzugefügt Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
386 lines
20 KiB
TypeScript
386 lines
20 KiB
TypeScript
import type { ParseNeedResult, ParsedNeedCriteria, FollowUpQuestion } from '../../../domain/needBuilder'
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import type { AssetType } from '../../../domain/enums'
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export function mockParseNeed(input: string): ParseNeedResult {
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const lower = input.toLowerCase()
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// Asset type — RETAIL before LOGISTICS to avoid false match on "Nebenräume (Lager)"
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const assetType: AssetType | undefined =
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lower.includes('retail') || lower.includes('laden') || lower.includes('shop')
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|| lower.includes('verkaufslokal') || lower.includes('ladenlokal') || lower.includes('ladenfläche')
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|| lower.includes('verkaufsfläche') || lower.includes('schaufenster') ? 'RETAIL'
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: lower.includes('büro') || lower.includes('office') || lower.includes('sitzungszimmer') || lower.includes('arbeitsplätze') ? 'OFFICE'
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: lower.includes('logistik') || lower.includes('lagerhalle') || lower.includes('lagerraum')
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|| (lower.includes('lager') && (lower.includes('logistik') || lower.includes('rampe') || lower.includes('palette') || lower.includes('lkw'))) ? 'LOGISTICS'
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: lower.includes('lager') ? 'LOGISTICS'
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: lower.includes('produktion') || lower.includes('gewerbe') || lower.includes('industrie') ? 'PRODUCTION'
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: lower.includes('gastro') || lower.includes('restaurant') ? 'GASTRO'
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: undefined
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// Area
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const areaRangeMatch = input.match(/(\d+)\s*[–\-–]\s*(\d+)\s*m[²2]/i)
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const areaSingleMatch = input.match(/(\d{3,5})\s*m[²2]/i)
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let areaRange: { min: number; max: number } | undefined
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let areaConfidence = 0.25
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if (areaRangeMatch) {
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areaRange = { min: parseInt(areaRangeMatch[1]), max: parseInt(areaRangeMatch[2]) }
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areaConfidence = 0.95
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} else if (areaSingleMatch) {
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const base = parseInt(areaSingleMatch[1])
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areaRange = { min: Math.round(base * 0.8), max: Math.round(base * 1.2) }
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areaConfidence = 0.70
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}
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// Locations — use word boundaries to avoid false matches like "Umzugsfirma" → "Zug"
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const CITIES: [string, string][] = [
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['zürich', 'Zürich'], ['basel', 'Basel'], ['bern', 'Bern'], ['genf', 'Genf'],
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['lausanne', 'Lausanne'], ['winterthur', 'Winterthur'], ['zug', 'Zug'],
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['luzern', 'Luzern'], ['st. gallen', 'St. Gallen'], ['lugano', 'Lugano'],
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['biel', 'Biel'], ['schaffhausen', 'Schaffhausen'],
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['wädenswil', 'Wädenswil'], ['thalwil', 'Thalwil'], ['uster', 'Uster'],
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['horgen', 'Horgen'], ['küsnacht', 'Küsnacht'], ['baar', 'Baar'],
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]
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const preferredLocations = CITIES.filter(([k]) => {
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if (k.includes(' ') || k.includes('.')) return lower.includes(k)
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// Word boundary: not preceded/followed by a letter (including German umlauts)
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const re = new RegExp(`(?<![a-zA-ZäöüÄÖÜß])${k}(?![a-zA-ZäöüÄÖÜß])`)
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return re.test(lower)
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}).map(([, v]) => v)
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// Infer Zürich when Zürich-specific districts or landmarks are mentioned
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const ZURICH_SIGNALS = [
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'seefeld', 'bellevue', 'paradeplatz', 'bahnhofstrasse', 'zürich-west', 'zürich west',
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'oerlikon', 'altstetten', 'kreis 1', 'kreis 2', 'kreis 3', 'kreis 4', 'kreis 5',
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'kreis 6', 'kreis 7', 'kreis 8', 'langstrasse', 'hardbrücke', 'freilager',
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'europaallee', 'zürich nord', 'zürich süd',
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]
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if (!preferredLocations.includes('Zürich') && ZURICH_SIGNALS.some(s => lower.includes(s))) {
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preferredLocations.push('Zürich')
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}
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// Contextual Zürich inference: only truly Zürich-specific place/brand names
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const ZURICH_ONLY_SIGNALS = [
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'pfingstweidstrasse', 'freilager', 'europaallee',
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'zürich-west', 'zürich west', 'zürich nord', 'zürich süd',
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'hürlimann', 'viadukt', 'schiffbau',
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]
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if (preferredLocations.length === 0 && ZURICH_ONLY_SIGNALS.some(s => lower.includes(s))) {
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preferredLocations.push('Zürich')
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}
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// Extract district list from patterns like "Kreis 3, 4, 5, und 8" or "Kreis 3/4/5"
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const kreisListMatch = lower.match(/\bkreis\s+([\d]+(?:\s*[,\/]\s*[\d]+)*(?:\s+und\s+[\d]+)?)/)
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if (kreisListMatch) {
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const nums = kreisListMatch[1].match(/\d+/g) ?? []
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nums.forEach(n => {
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const k = `Zürich Kreis ${n}`
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if (!preferredLocations.includes(k)) preferredLocations.push(k)
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})
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if (!preferredLocations.includes('Zürich')) preferredLocations.push('Zürich')
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}
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// Map Zürich landmark/neighbourhood names → district-level location entries
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const ZURICH_DISTRICT_MAP: [string, string][] = [
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['seefeld', 'Zürich Seefeld'], ['bellevue', 'Zürich Seefeld'],
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['bahnhofstrasse', 'Zürich Kreis 1'], ['paradeplatz', 'Zürich Kreis 1'],
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['zürich-west', 'Zürich-West'], ['pfingstweidstrasse', 'Zürich-West'],
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['limmatstrasse', 'Zürich-West'],
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]
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ZURICH_DISTRICT_MAP.forEach(([k, v]) => {
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if (lower.includes(k) && !preferredLocations.includes(v)) preferredLocations.push(v)
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})
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const locationConfidence = preferredLocations.length > 0 ? 0.88 : 0.15
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// Budget — strip Swiss price notation (320.--) before matching
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const cleanedBudget = input.replace(/(\d)\.-+/g, '$1').replace(/(\d)\.—/g, '$1')
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// "MZ 320/m²", "CHF 320/m²", "320/m²", "320.--/m²/a"
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const budgetPerSqmMatch = cleanedBudget.match(/(?:mz|mietzins|max\.?|budget)?\s*(?:CHF\s*)?(\d{2,4})\s*\/\s*m[²2]/i)
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// Range "250 – 280 CHF" or "250-280/m²" — require explicit currency or /m² so area ranges like "120–150m2" are not matched
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const budgetRangeMatch =
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cleanedBudget.match(/(\d{2,4})\s*[–\-]\s*(\d{2,4})\s*(?:CHF|Fr\.?)\b/i) ??
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cleanedBudget.match(/(?:CHF|Fr\.?)\s*(\d{2,4})\s*[–\-]\s*(\d{2,4})/i) ??
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cleanedBudget.match(/(\d{2,4})\s*[–\-]\s*(\d{2,4})\s*\/\s*m[²2]/i)
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const budgetMaxMatch = input.match(/(?:max\.?|bis|höchstens)\s*(?:CHF\s*)?(\d+)/i)
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let budgetRange: { maxPerSqm: number; currency: string } | undefined
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let budgetConfidence = 0.20
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// Monthly-to-annual threshold: Swiss retail quotes monthly (150/m²/mon → 1800/year),
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// office/logistics quote monthly too but at lower values (45/m²/mon → 540/year).
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const monthlyThreshold = assetType === 'RETAIL' ? 500 : 150
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if (budgetPerSqmMatch) {
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const raw = parseInt(budgetPerSqmMatch[1])
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budgetRange = { maxPerSqm: raw < monthlyThreshold ? raw * 12 : raw, currency: 'CHF' }
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budgetConfidence = 0.92
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} else if (budgetRangeMatch) {
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// Take upper value of range as max
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const raw = parseInt(budgetRangeMatch[2])
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budgetRange = { maxPerSqm: raw < monthlyThreshold ? raw * 12 : raw, currency: 'CHF' }
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budgetConfidence = 0.75
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} else if (budgetMaxMatch) {
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const raw = parseInt(budgetMaxMatch[1])
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budgetRange = { maxPerSqm: raw < monthlyThreshold ? raw * 12 : raw, currency: 'CHF' }
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budgetConfidence = 0.60
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}
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// Timing
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const yearMatch = input.match(/(?:ab\s+)?(?:Q[1-4]\s*\/?\s*)?(20\d{2})/)
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// "Q4/26" or "Q1/27" — two-digit year (collect all occurrences, use first as earliest)
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const quarterMatches = [...input.matchAll(/Q([1-4])\s*[\/\-]?\s*(\d{2})\b/gi)]
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const soonMatch = lower.includes('sofort') || lower.includes('asap')
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let timing: ParsedNeedCriteria['timing'] | undefined
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let timingConfidence = 0.20
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if (soonMatch) {
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timing = { earliestMoveIn: '2025-07-01', latestMoveIn: '2025-10-01', flexibleTiming: false }
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timingConfidence = 0.85
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} else if (yearMatch) {
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timing = { earliestMoveIn: `${yearMatch[1]}-01-01`, latestMoveIn: `${yearMatch[1]}-12-31`, flexibleTiming: lower.includes('flexibel') }
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timingConfidence = 0.75
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} else if (quarterMatches.length > 0) {
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// Use first Q as earliest, last Q as latest (6-month window minimum)
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const qStartMonth = [0, 1, 4, 7, 10] // [unused, Q1, Q2, Q3, Q4]
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const first = quarterMatches[0]
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const last = quarterMatches[quarterMatches.length - 1]
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const yr1 = 2000 + parseInt(first[2])
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const yr2 = 2000 + parseInt(last[2])
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const q1 = parseInt(first[1])
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const q2 = parseInt(last[1])
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const startM = String(qStartMonth[q1]).padStart(2, '0')
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const endM = String(Math.min(12, qStartMonth[q2] + 2)).padStart(2, '0')
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timing = {
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earliestMoveIn: `${yr1}-${startM}-01`,
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latestMoveIn: `${yr2}-${endM}-${endM === '12' ? '31' : '28'}`,
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flexibleTiming: true,
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}
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timingConfidence = 0.70
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}
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// Must-haves
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const mustHaveCriteria: string[] = []
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if (lower.includes('öv') || lower.includes('bahnhof') || lower.includes('tram') || lower.includes('erschlossen')) mustHaveCriteria.push('Gute ÖV-Anbindung')
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if (lower.includes('parking') || lower.includes('parkplatz') || lower.includes('tiefgarage') || lower.includes('stellplatz')) mustHaveCriteria.push('Parkplätze vorhanden')
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if (lower.includes('klimaanlage') || lower.includes('klima')) mustHaveCriteria.push('Klimaanlage')
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if (lower.includes('server') || lower.includes('rechenzentr')) mustHaveCriteria.push('Serverraum / IT-Infrastruktur')
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if (lower.includes('barrierefrei')) mustHaveCriteria.push('Barrierefreiheit')
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if (lower.includes('küche') || lower.includes('kantine')) mustHaveCriteria.push('Kantine / Küche')
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if (lower.includes('laderampe') || lower.includes('rampe') || lower.includes('verladetor')) mustHaveCriteria.push('Laderampe')
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if (lower.includes('schaufenster') || lower.includes('shopfenster') || lower.includes('vitrine')) mustHaveCriteria.push('Schaufenster')
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if (lower.includes('verpflegung') || lower.includes('restaurant') || lower.includes('lunch') || lower.includes('mittagessen') || lower.includes('takeaway')) mustHaveCriteria.push('Verpflegungsmöglichkeiten')
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if (lower.includes('startup') || lower.includes('start-up') || lower.includes('community') || lower.includes('coworking') || lower.includes('junge firmen') || lower.includes('jungunternehm')) mustHaveCriteria.push('Startup-Community / innovative Nachbarn')
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if (lower.includes('wachsen') || lower.includes('expansion') || lower.includes('erweiterungsoption') || lower.includes('wachstum') || lower.includes('wachstumsoption') || lower.includes('flexibilität zum wachsen')) mustHaveCriteria.push('Erweiterungsoption vorhanden')
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if (lower.includes('werkstatt') || lower.includes('atelier') || lower.includes('reparatur')) mustHaveCriteria.push('Werkstatt / Atelier')
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// Structured requirement fields
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const requireGroundFloor = lower.includes('erdgeschoss') || lower.includes('parterre')
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|| lower.includes('schaufenster') || lower.includes('ladenlokal') || undefined as boolean | undefined
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const requireAirConditioning = lower.includes('klimaanlage') || lower.includes('klimatisierung')
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|| lower.includes('klima') || lower.includes('air conditioning')
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|| lower.includes('kühlung') || undefined as boolean | undefined
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const requireLoadingDock = lower.includes('laderampe') || lower.includes('verladerampe')
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|| lower.includes('ladetor') || lower.includes('rampe') || undefined as boolean | undefined
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const requireBarrierFree = lower.includes('barrierefrei') || lower.includes('rollstuhl')
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|| lower.includes('iv-gerecht') || lower.includes('behindertengerecht') || undefined as boolean | undefined
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const ceilingMatch = input.match(/(\d+(?:[.,]\d+)?)\s*m(?:eter)?\s*(?:deckenhöhe|hallenhöhe|lichte\s+höhe)/i)
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?? input.match(/deckenhöhe\s+(?:mind\.?\s*)?(\d+(?:[.,]\d+)?)\s*m/i)
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const minCeilingHeightM = ceilingMatch ? parseFloat(ceilingMatch[1].replace(',', '.')) : undefined
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// Parking: "3-5 Parkplätze" → extract lower bound (minimum); "5 Parkplätze" → 5
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const parkingRangeMatch = input.match(/(\d+)\s*[-–]\s*\d+\s*(?:parkplätze?|stellplätze?|pp\b)/i)
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const parkingSingleMatch = input.match(/(?:mind(?:estens)?\.?\s+)?(\d+)\s*(?:parkplätze?|stellplätze?|pp\b)/i)
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const requiredParkingMin = parkingRangeMatch ? parseInt(parkingRangeMatch[1])
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: parkingSingleMatch ? parseInt(parkingSingleMatch[1]) : undefined
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const fitOutStr: 'BASIC' | 'FULL' | 'PREMIUM' | undefined =
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lower.includes('schlüsselfertig') || lower.includes('premium') || lower.includes('hochwertig')
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|| lower.includes('top ausgebaut') || lower.includes('top-ausgebaut') ? 'PREMIUM'
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: lower.includes('vollausbau') || lower.includes('vollständig ausgebaut') || lower.includes('ausgebaut')
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|| lower.includes('ready to use') || lower.includes('reddy to use') || lower.includes('bezugsfertig') ? 'FULL'
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: lower.includes('basisausbau') || lower.includes('rohbau') || lower.includes('einfach') ? 'BASIC'
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: undefined
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// Search radius: "innerhalb von 30 km", "30km Umkreis", "im Umkreis von 50 km", "radius 20km"
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const radiusMatch =
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input.match(/(?:innerhalb\s+(?:von\s+)?|im\s+umkreis\s+(?:von\s+)?|radius\s+(?:von\s+)?)(\d+)\s*km/i) ??
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input.match(/(\d+)\s*km\s*(?:umkreis|radius|entfernung)/i) ??
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input.match(/(\d+)\s*km/i)
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const searchRadius = radiusMatch ? Math.min(100, Math.max(1, parseInt(radiusMatch[1]))) : undefined
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// Contract duration: "7-jähriger Vertrag", "Laufzeit 7 Jahre", standalone "7 Jahre" at sentence start
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// Exclude "in X Jahren", "X Jahre im Geschäft", "X Jahre Erfahrung" etc.
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const contractMatch = input.match(/(\d+)[- ]?j[aä]hrige?(?:r)?\s+(?:vertrag|mietvertrag|laufzeit)/i)
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?? input.match(/(?:vertrag|laufzeit|mietdauer).{0,20}(\d+)\s*jahre?/i)
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?? input.match(/\b(\d+)\s*jahre?\b(?!\s*(?:erfahrung|planung|rendite|im\b|alt\b|alten|altes|jung))/i)
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const minContractDurationMonths = contractMatch ? parseInt(contractMatch[1]) * 12 : undefined
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// Soft
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const prestigeImportance: 'LOW' | 'MEDIUM' | 'HIGH' | undefined =
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lower.includes('prestige') || lower.includes('representativ') || lower.includes('repräsentativ')
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|| lower.includes('topadresse') || lower.includes('top adresse') || lower.includes('innerstädtisch')
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|| lower.includes('topaddresse') ? 'HIGH'
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: lower.includes('standard') ? 'LOW'
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: undefined
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const parkingNeed = lower.includes('parking') || lower.includes('parkplatz')
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const visibilityNeed: 'HIGH' | undefined = lower.includes('sichtbar') || lower.includes('passanten') ? 'HIGH' : undefined
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const footfallNeed: 'HIGH' | undefined = lower.includes('frequenz') || lower.includes('laufkundschaft') ? 'HIGH' : undefined
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// Missing fields
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const missingFields: string[] = []
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if (!assetType) missingFields.push('Nutzungstyp')
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if (!areaRange) missingFields.push('Flächenbedarf')
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if (preferredLocations.length === 0) missingFields.push('Standort')
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if (!budgetRange) missingFields.push('Budget')
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if (!timing) missingFields.push('Verfügbarkeitstermin')
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// Assumptions
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const assumptions: string[] = []
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if (areaRange && areaSingleMatch && !areaRangeMatch) {
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assumptions.push(`Flächenrange aus Einzelangabe (${areaSingleMatch[1]} m²) geschätzt — bitte prüfen`)
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}
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if (budgetRange && !budgetPerSqmMatch && budgetMaxMatch) {
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assumptions.push('Budget als Pauschalangabe interpretiert — Angabe pro m² unklar')
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}
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if (!assetType) {
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assumptions.push('Nutzungstyp konnte nicht eindeutig erkannt werden')
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}
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// Confidence by field
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const confidenceByField: Record<string, number> = {
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assetType: assetType ? 0.92 : 0.20,
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areaRange: areaConfidence,
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preferredLocations: locationConfidence,
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budgetRange: budgetConfidence,
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timing: timingConfidence,
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mustHaveCriteria: mustHaveCriteria.length > 0 ? 0.85 : 0.10,
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searchRadius: searchRadius ? 0.90 : 0.20,
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prestigeImportance: prestigeImportance ? 0.80 : 0.20,
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parkingNeed: parkingNeed ? 0.90 : 0.30,
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}
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// Follow-up questions
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const followUpQuestionCandidates: FollowUpQuestion[] = []
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if (!assetType) {
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followUpQuestionCandidates.push({
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id: 'fq-asset-type',
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questionText: 'Welchen Nutzungstyp suchen Sie?',
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targetField: 'assetType',
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reason: 'Der Nutzungstyp konnte nicht eindeutig erkannt werden.',
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suggestedAnswerOptions: ['Büro', 'Logistik / Lager', 'Retail', 'Produktion', 'Gastro / F&B'],
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importance: 'required',
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})
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}
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if (preferredLocations.length === 0) {
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followUpQuestionCandidates.push({
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id: 'fq-location',
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questionText: 'In welcher Region oder Stadt suchen Sie?',
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targetField: 'preferredLocations',
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reason: 'Kein konkreter Standort angegeben.',
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suggestedAnswerOptions: ['Zürich', 'Basel', 'Bern', 'Zug', 'Luzern', 'Genf'],
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importance: 'required',
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})
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}
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if (!timing) {
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followUpQuestionCandidates.push({
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id: 'fq-timing',
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questionText: 'Ab wann benötigen Sie die Fläche?',
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targetField: 'timing',
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reason: 'Kein Verfügbarkeitsdatum erkannt.',
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suggestedAnswerOptions: ['Sofort', 'In 3 Monaten', 'In 6 Monaten', 'In 12 Monaten', 'Flexibel'],
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importance: 'recommended',
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})
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}
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if (!budgetRange) {
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followUpQuestionCandidates.push({
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id: 'fq-budget',
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questionText: 'Was ist Ihr Maximalbudget pro m² und Jahr?',
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targetField: 'budgetRange',
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reason: 'Kein Budget erkannt.',
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suggestedAnswerOptions: ['< CHF 300/m²/J', 'CHF 300–420/m²/J', 'CHF 420–540/m²/J', '> CHF 540/m²/J', 'Flexibel'],
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importance: 'recommended',
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})
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}
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followUpQuestionCandidates.push({
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||
id: 'fq-parking',
|
||
questionText: 'Benötigen Sie Parkplätze vor Ort?',
|
||
targetField: 'parkingNeed',
|
||
reason: 'Angabe zu Parkplatzbedarf verbessert die Matchqualität.',
|
||
suggestedAnswerOptions: ['Ja, zwingend', 'Ja, wenn möglich', 'Nein'],
|
||
importance: 'optional',
|
||
})
|
||
|
||
// Special notes: apartment wish (UC-A type) + lease options (UC-C type)
|
||
const notesParts: string[] = []
|
||
const apartmentMatch = input.match(/(\d[.,]\d)\s*zimmer[- ]?wohn/i)
|
||
?? (lower.includes('zimmer') && lower.includes('wohnung') ? [''] : null)
|
||
if (apartmentMatch) {
|
||
const sizeHint = apartmentMatch[1] ? `${apartmentMatch[1]}-Zi-Wohnung` : 'Wohnung'
|
||
const rentMatch = input.match(/(\d['.\s]?\d{3})[.,\-\s]*(?:inkl|inkl\.)/i)
|
||
?? input.match(/(\d{4})[.,\-]\s*(?:chf|fr)?/i)
|
||
const rentHint = rentMatch ? ` max. CHF ${rentMatch[1].replace(/['\s]/g, "'")}` : ''
|
||
notesParts.push(`Wunsch: ${sizeHint} im Haus oder in der Nähe${rentHint} inkl. NK`)
|
||
}
|
||
const leaseOptionMatch = input.match(/(\d+)\s*[*×x]\s*(\d+)\s*jahre?\s*(?:echte\s*)?optione?n?/i)
|
||
if (leaseOptionMatch) {
|
||
notesParts.push(`Mietoption: ${leaseOptionMatch[1]}×${leaseOptionMatch[2]} Jahre echte Optionen gefordert`)
|
||
}
|
||
const notes = notesParts.length > 0 ? notesParts.join(' | ') : undefined
|
||
|
||
// Semantic signal flags used for weight boosting
|
||
const hasExpansionSignal = lower.includes('wachsen') || lower.includes('wachstum') || lower.includes('expansion') || lower.includes('erweiterung')
|
||
const hasCommunitySignal = lower.includes('startup') || lower.includes('community') || lower.includes('coworking') || lower.includes('junge firmen')
|
||
const hasPrestigeSignal = prestigeImportance === 'HIGH' || lower.includes('repräsentativ') || lower.includes('charakter') || lower.includes('beeindrucken')
|
||
const hasFlexSignal = lower.includes('flexibel') || lower.includes('wachsen') || hasCommunitySignal
|
||
|
||
// Suggested weights
|
||
const suggestedWeights: Record<string, number> = {
|
||
area: 0.18,
|
||
location: preferredLocations.length > 0 ? 0.25 : 0.20,
|
||
budget: budgetRange ? 0.20 : 0.16,
|
||
timing: timing ? 0.14 : 0.10,
|
||
prestige: hasPrestigeSignal ? 0.10 : 0.04,
|
||
accessibility: mustHaveCriteria.includes('Gute ÖV-Anbindung') ? 0.08 : 0.04,
|
||
expansionPotential: hasExpansionSignal ? 0.08 : 0.03,
|
||
flexibility: hasFlexSignal ? 0.08 : 0.03,
|
||
talentAccess: hasCommunitySignal ? 0.06 : 0.03,
|
||
}
|
||
|
||
const rawSummary = `Bedarf analysiert: ${assetType ?? 'Typ unbekannt'} · ${preferredLocations.join(', ') || 'Standort unklar'} · ${areaRange ? `${areaRange.min}–${areaRange.max} m²` : 'Fläche unklar'} · ${budgetRange ? `max. CHF ${budgetRange.maxPerSqm}/m²` : 'Budget unklar'}`
|
||
|
||
return {
|
||
extractedCriteria: {
|
||
assetType,
|
||
areaRange,
|
||
preferredLocations,
|
||
budgetRange,
|
||
timing,
|
||
mustHaveCriteria,
|
||
infrastructureRequirements: [],
|
||
accessibilityRequirements: [],
|
||
prestigeImportance: hasPrestigeSignal ? 'HIGH' : prestigeImportance,
|
||
flexibilityNeed: hasFlexSignal ? 'HIGH' : 'MEDIUM',
|
||
expansionPotential: hasExpansionSignal,
|
||
parkingNeed,
|
||
visibilityNeed,
|
||
footfallNeed,
|
||
requireGroundFloor: requireGroundFloor || undefined,
|
||
requireAirConditioning: requireAirConditioning || undefined,
|
||
requireLoadingDock: requireLoadingDock || undefined,
|
||
requireBarrierFree: requireBarrierFree || undefined,
|
||
requiredParkingMin,
|
||
requiredFitOut: fitOutStr,
|
||
minCeilingHeightM,
|
||
minContractDurationMonths,
|
||
searchRadius,
|
||
notes,
|
||
},
|
||
confidenceByField,
|
||
missingFields,
|
||
assumptions,
|
||
suggestedWeights,
|
||
followUpQuestionCandidates,
|
||
rawSummary,
|
||
promptVersion: 'mock-v1.0',
|
||
schemaVersion: '1.0.0',
|
||
}
|
||
}
|