fix: property-level scoring for multi-unit properties + multi-unit chip

For properties with explicit sub-units (e.g. prop-001: 280/310/260 m²),
synthetic matching now generates ONE property-level match using the aggregate
areaSqm (850 m²) instead of per-unit matches — ensuring a need for 800-1000 m²
correctly scores the whole floor as +20 (STRONG) rather than -10 each unit.

Pre-market unit-level matches are still generated per released unit so tenants
seeking smaller spaces still see the specific unit signals.

Card shows "X Einheiten · total Y m²" chip when a multi-unit property is matched
at property level (no specific unit assigned).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Benjamin Sutter
2026-05-21 00:30:03 +02:00
parent e2ec1b1dc9
commit a39c6ed200
2 changed files with 118 additions and 78 deletions
@@ -399,7 +399,7 @@ export function IntelligenceMatchCard({ vm, imageUrl, lat, lng, cityLabel }: Pro
{[vm.locationLabel, vm.availabilityLabel].filter(Boolean).join(' · ')}
</Typography>
{/* Unit context — only shown when a specific named unit is known */}
{/* Specific named unit */}
{vm.preMarketUnit?.unitLabel && (
<Box sx={{ display: 'flex', alignItems: 'center', gap: 0.75, mt: 0.5 }}>
<Chip
@@ -413,6 +413,20 @@ export function IntelligenceMatchCard({ vm, imageUrl, lat, lng, cityLabel }: Pro
</Box>
)}
{/* Multi-unit property: no specific unit matched — show aggregate summary */}
{!vm.preMarketUnit && (vm.preMarketAllUnits?.length ?? 0) > 1 && (
<Box sx={{ display: 'flex', alignItems: 'center', gap: 0.75, mt: 0.5 }}>
<Chip
size="small"
label={`${vm.preMarketAllUnits!.length} Einheiten`}
sx={{ height: 18, fontSize: '0.62rem', bgcolor: '#eff6ff', color: '#1e40af', border: '1px solid #bfdbfe' }}
/>
<Typography variant="caption" sx={{ color: '#64748b', fontSize: '0.68rem' }}>
total {vm.preMarketAllUnits!.reduce((s, u) => s + u.areaSqm, 0).toLocaleString('de-CH')} m²
</Typography>
</Box>
)}
{/* Regular explainability summary */}
{vm.explainabilitySummary && (
<>
+103 -77
View File
@@ -6,7 +6,6 @@ import { propertyStore } from './MockupPropertyProvider'
import { MatchStrength, MatchStatus, RiskLevel } from '../domain/enums'
import type { Match } from '../domain/match'
import { getEffectiveUnits } from '../domain/property'
import type { PropertyUnit } from '../domain/property'
const store: Need[] = [...mockNeeds]
@@ -26,7 +25,6 @@ function locationScore(propCity: string, preferredLocations: string[]): number {
const p = pref.toLowerCase()
if (pc.includes(p) || p.includes(pc)) return 1.0
}
// Same canton check
const propCanton = CANTON_MAP[pc]
if (propCanton) {
for (const pref of preferredLocations) {
@@ -42,45 +40,38 @@ function computeScore(
assetType: string
location: { city: string }
resultType?: string
rentPricePerSqm: number
},
unit: PropertyUnit,
need: Need,
areaSqm: number,
rentPricePerSqm: number | undefined,
isPreMarket = false,
): number | null {
if (need.assetType && prop.assetType !== need.assetType) return null
const locScore = locationScore(prop.location.city, need.preferredLocations ?? [])
// Location dominates: same city → 65 base, same canton → 42, other → 28
let score = locScore >= 0.9 ? 65 : locScore >= 0.5 ? 42 : 28
// Area — use unit area (more precise than property aggregate)
if (need.requiredArea && unit.areaSqm) {
if (need.requiredArea && areaSqm) {
const { min, max } = need.requiredArea
if (unit.areaSqm >= min && unit.areaSqm <= max) score += 20
else if (unit.areaSqm >= min * 0.7 && unit.areaSqm <= max * 1.5) score += 10
else if (unit.areaSqm < min * 0.5 || unit.areaSqm > max * 2) score -= 10
if (areaSqm >= min && areaSqm <= max) score += 20
else if (areaSqm >= min * 0.7 && areaSqm <= max * 1.5) score += 10
else if (areaSqm < min * 0.5 || areaSqm > max * 2) score -= 10
}
// Budget — prefer unit-level rent, fall back to property rent; both stored as annual CHF/m²
const effectiveRent = unit.rentPricePerSqm ?? prop.rentPricePerSqm
if (need.budgetRange?.maxPerSqm && effectiveRent) {
const monthlyRate = effectiveRent / 12
if (need.budgetRange?.maxPerSqm && rentPricePerSqm) {
const monthlyRate = rentPricePerSqm / 12
if (monthlyRate <= need.budgetRange.maxPerSqm) score += 10
else if (monthlyRate <= need.budgetRange.maxPerSqm * 1.2) score += 3
else score -= 8
}
// Discount: external future signals score lower (probabilistic), pre-market units slightly lower
if (prop.resultType === 'FUTURE_AVAILABILITY') {
score = Math.round(score * 0.82)
} else if (unit.schattenmarktRelease?.enabled) {
} else if (isPreMarket) {
score = Math.round(score * 0.92)
}
// Small jitter so results look natural
score += Math.floor(Math.random() * 6) - 2
return Math.min(97, Math.max(22, score))
}
@@ -90,71 +81,106 @@ function strengthFromScore(s: number): string {
return MatchStrength.WEAK
}
function buildMatch(
prop: typeof propertyStore[0],
unitId: string | undefined,
need: Need,
score: number,
effectiveResultType: string,
resultId: string,
isGoodLoc: boolean,
areaLabel: string,
now: string,
): Match {
return {
id: crypto.randomUUID(),
propertyId: prop.id,
unitId,
needId: need.id,
resultId,
resultType: effectiveResultType as Match['resultType'],
matchScore: score,
matchStrength: strengthFromScore(score) as typeof MatchStrength[keyof typeof MatchStrength],
status: MatchStatus.PENDING_REVIEW,
scoreBreakdown: {
hardMatchScore: score + 5,
softFactorScore: score - 5,
confidenceModifier: isGoodLoc ? 0.96 : 0.82,
dataQualityModifier: 0.92,
totalScore: score,
},
positiveFactors: isGoodLoc
? [{ criterion: 'Standort', weight: 0.25, score: 92, contribution: 23, explanation: `${prop.location.city} bevorzugter Standort` }]
: [{ criterion: 'Fläche', weight: 0.25, score: 70, contribution: 17.5, explanation: `${areaLabel} verfügbar` }],
negativeFactors: !isGoodLoc
? [{ criterion: 'Standort', weight: 0.25, score: 35, contribution: 8.75, explanation: `${prop.location.city} liegt außerhalb der bevorzugten Region` }]
: [],
tradeoffs: !isGoodLoc
? [{ criterion: 'Standort', concern: `${prop.location.city} ist nicht im Präferenzgebiet`, severity: 'MEDIUM' as const }]
: [],
explainabilitySummary: isGoodLoc
? `${prop.location.city} trifft den Standortwunsch. ${areaLabel} entspricht den Kernkriterien.`
: `Abweichender Standort (${prop.location.city}). Nur bei Engpass im Zielgebiet empfohlen.`,
confidenceLevel: isGoodLoc ? 0.88 : 0.60,
riskLevel: isGoodLoc ? RiskLevel.LOW : RiskLevel.MEDIUM,
uncertaintyIndicators: isGoodLoc ? [] : ['Standort außerhalb Präferenz'],
organizationId: 'org-wincasa',
createdAt: now,
updatedAt: now,
}
}
function generateSyntheticMatches(need: Need) {
const now = new Date().toISOString()
for (const prop of propertyStore) {
for (const unit of getEffectiveUnits(prop)) {
const score = computeScore(prop, unit, need)
if (score === null || score < 25) continue
const hasExplicitUnits = (prop.units ?? []).length > 0
const locS = locationScore(prop.location.city, need.preferredLocations ?? [])
const isGoodLoc = locS >= 0.9
// Unit with pre-market release → FUTURE_AVAILABILITY so demand users see PRE-MARKET VERIFIED card
// External future signals (property-level) → FUTURE_AVAILABILITY
const isPreMarket = unit.schattenmarktRelease?.enabled === true
const isFutureProp = prop.resultType === 'FUTURE_AVAILABILITY'
const effectiveResultType = (isPreMarket || isFutureProp)
? 'FUTURE_AVAILABILITY'
: (prop.resultType ?? 'VERIFIED_PORTFOLIO')
// Signal ID must match what useSchattenmarktSignals generates:
// unit-level → schattenmarkt-{propId}-{unitId}
// property-level fallback (unit.id === prop.id) → schattenmarkt-{propId}
const resultId = isPreMarket
? (unit.id === prop.id ? `schattenmarkt-${prop.id}` : `schattenmarkt-${prop.id}-${unit.id}`)
: prop.id
const unitAreaLabel = `${unit.areaSqm.toLocaleString('de-CH')}`
const match: Match = {
id: crypto.randomUUID(),
propertyId: prop.id,
unitId: unit.id,
needId: need.id,
resultId,
resultType: effectiveResultType as Match['resultType'],
matchScore: score,
matchStrength: strengthFromScore(score) as typeof MatchStrength[keyof typeof MatchStrength],
status: MatchStatus.PENDING_REVIEW,
scoreBreakdown: {
hardMatchScore: score + 5,
softFactorScore: score - 5,
confidenceModifier: isGoodLoc ? 0.96 : 0.82,
dataQualityModifier: 0.92,
totalScore: score,
},
positiveFactors: isGoodLoc
? [{ criterion: 'Standort', weight: 0.25, score: 92, contribution: 23, explanation: `${prop.location.city} bevorzugter Standort` }]
: [{ criterion: 'Fläche', weight: 0.25, score: 70, contribution: 17.5, explanation: `${unitAreaLabel} verfügbar` }],
negativeFactors: !isGoodLoc
? [{ criterion: 'Standort', weight: 0.25, score: 35, contribution: 8.75, explanation: `${prop.location.city} liegt außerhalb der bevorzugten Region` }]
: [],
tradeoffs: !isGoodLoc
? [{ criterion: 'Standort', concern: `${prop.location.city} ist nicht im Präferenzgebiet`, severity: 'MEDIUM' as const }]
: [],
explainabilitySummary: isGoodLoc
? `${prop.location.city} trifft den Standortwunsch. Einheit (${unitAreaLabel}) entspricht den Kernkriterien.`
: `Abweichender Standort (${prop.location.city}). Nur bei Engpass im Zielgebiet empfohlen.`,
confidenceLevel: isGoodLoc ? 0.88 : 0.60,
riskLevel: isGoodLoc ? RiskLevel.LOW : RiskLevel.MEDIUM,
uncertaintyIndicators: isGoodLoc ? [] : ['Standort außerhalb Präferenz'],
organizationId: 'org-wincasa',
createdAt: now,
updatedAt: now,
if (hasExplicitUnits) {
// Multi-unit property: score against aggregate area (tenants renting the whole floor/building)
const propScore = computeScore(prop, need, prop.areaSqm, prop.rentPricePerSqm)
if (propScore !== null && propScore >= 25) {
const isGoodLoc = locationScore(prop.location.city, need.preferredLocations ?? []) >= 0.9
matchStore.push(buildMatch(
prop, undefined, need, propScore,
prop.resultType ?? 'VERIFIED_PORTFOLIO', prop.id,
isGoodLoc, `${prop.areaSqm.toLocaleString('de-CH')}`, now,
))
}
matchStore.push(match)
// Unit-level pre-market: generate per released unit (for tenants seeking that specific unit size)
for (const unit of prop.units!) {
if (!unit.schattenmarktRelease?.enabled) continue
const unitScore = computeScore(prop, need, unit.areaSqm, unit.rentPricePerSqm ?? prop.rentPricePerSqm, true)
if (unitScore === null || unitScore < 25) continue
const resultId = `schattenmarkt-${prop.id}-${unit.id}`
const isGoodLoc = locationScore(prop.location.city, need.preferredLocations ?? []) >= 0.9
matchStore.push(buildMatch(
prop, unit.id, need, unitScore,
'FUTURE_AVAILABILITY', resultId,
isGoodLoc, `${unit.areaSqm.toLocaleString('de-CH')}`, now,
))
}
} else {
// No explicit units: use getEffectiveUnits (whole property synthesised as one unit)
for (const unit of getEffectiveUnits(prop)) {
const isPreMarket = unit.schattenmarktRelease?.enabled === true
const isFutureProp = prop.resultType === 'FUTURE_AVAILABILITY'
const score = computeScore(prop, need, unit.areaSqm, unit.rentPricePerSqm ?? prop.rentPricePerSqm, isPreMarket)
if (score === null || score < 25) continue
const effectiveResultType = (isPreMarket || isFutureProp)
? 'FUTURE_AVAILABILITY'
: (prop.resultType ?? 'VERIFIED_PORTFOLIO')
const resultId = isPreMarket ? `schattenmarkt-${prop.id}` : prop.id
const isGoodLoc = locationScore(prop.location.city, need.preferredLocations ?? []) >= 0.9
matchStore.push(buildMatch(
prop, undefined, need, score,
effectiveResultType, resultId,
isGoodLoc, `${unit.areaSqm.toLocaleString('de-CH')}`, now,
))
}
}
}
}