Add hometitle service: fuzzy matching engine and change detector FRE-5351
- matcher.service.ts: name/address normalization, Levenshtein distance, geocoding proximity, confidence scoring (0.0-1.0) - change-detector.ts: PropertySnapshot diff engine, severity scoring (minor/moderate/major), configurable thresholds, alert triggering - 57 unit tests with 98%+ coverage across all thresholds
This commit is contained in:
202
services/hometitle/src/change-detector.ts
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202
services/hometitle/src/change-detector.ts
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@@ -0,0 +1,202 @@
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import {
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PropertySnapshot,
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ChangeDetectionResult,
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ChangeType,
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Severity,
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PropertyChange,
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DetectionConfig,
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Address,
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} from './types';
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import { matchRecords } from './matcher.service';
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const DEFAULT_DETECTION_CONFIG: DetectionConfig = {
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ownershipNameThreshold: 0.7,
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deedDateSensitivity: 0.9,
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taxAmountChangePercent: 15,
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};
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function classifyFieldChange(field: string, oldValue: unknown, newValue: unknown, config: DetectionConfig): PropertyChange {
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let changeType: ChangeType;
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switch (field) {
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case 'ownerName':
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changeType =
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typeof oldValue === 'string' && typeof newValue === 'string'
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? isSignificantNameChange(oldValue, newValue, config)
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? 'ownership_transfer'
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: 'metadata_change'
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: 'ownership_transfer';
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break;
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case 'deedDate':
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changeType = 'deed_change';
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break;
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case 'taxAmount':
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changeType = 'tax_change';
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break;
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case 'lienCount':
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changeType = (newValue as number) > (oldValue as number) ? 'lien_filing' : 'metadata_change';
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break;
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case 'taxId':
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changeType = 'deed_change';
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break;
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default:
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changeType = 'metadata_change';
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}
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return { field, oldValue, newValue, changeType };
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}
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function isSignificantNameChange(oldName: string, newName: string, config: DetectionConfig): boolean {
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const dummyAddress: Address = {
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streetNumber: '0',
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streetName: 'dummy',
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city: 'dummy',
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state: 'XX',
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zip: '00000',
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};
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const result = matchRecords(oldName, dummyAddress, newName, dummyAddress);
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return result.nameScore < config.ownershipNameThreshold;
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}
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function determineSeverity(changes: PropertyChange[], config: DetectionConfig): Severity {
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const severityOverrides = config.severityOverrides || {};
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const typeToSeverity: Record<ChangeType, Severity> = {
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ownership_transfer: severityOverrides['ownership_transfer'] || 'major',
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deed_change: severityOverrides['deed_change'] || 'moderate',
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lien_filing: severityOverrides['lien_filing'] || 'moderate',
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tax_change: severityOverrides['tax_change'] || 'minor',
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metadata_change: severityOverrides['metadata_change'] || 'minor',
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};
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const severityOrder: Severity[] = ['major', 'moderate', 'minor'];
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for (const change of changes) {
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const sev = typeToSeverity[change.changeType];
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const idx = severityOrder.indexOf(sev);
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if (idx === 0) return 'major';
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}
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for (const change of changes) {
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const sev = typeToSeverity[change.changeType];
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if (sev === 'moderate') return 'moderate';
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}
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return 'minor';
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}
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function computeChangeConfidence(changes: PropertyChange[], config: DetectionConfig): number {
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if (changes.length === 0) return 0;
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let totalConfidence = 0;
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for (const change of changes) {
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switch (change.changeType) {
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case 'ownership_transfer':
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totalConfidence += 0.95;
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break;
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case 'deed_change':
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totalConfidence += config.deedDateSensitivity;
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break;
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case 'tax_change': {
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const oldVal = change.oldValue as number;
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const newVal = change.newValue as number;
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const pctChange = oldVal ? Math.abs(newVal - oldVal) / oldVal * 100 : 100;
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totalConfidence += pctChange >= config.taxAmountChangePercent ? 0.85 : 0.5;
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break;
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}
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case 'lien_filing':
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totalConfidence += 0.9;
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break;
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default:
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totalConfidence += 0.4;
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}
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}
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return Math.round((totalConfidence / changes.length) * 1000) / 1000;
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}
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export function detectChanges(
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previous: PropertySnapshot,
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current: PropertySnapshot,
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config?: Partial<DetectionConfig>,
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): ChangeDetectionResult {
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const effectiveConfig = { ...DEFAULT_DETECTION_CONFIG, ...config };
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const changes: PropertyChange[] = [];
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const fieldsToCompare: (keyof Omit<PropertySnapshot, 'id' | 'capturedAt' | 'propertyId'>)[] = [
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'ownerName',
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'deedDate',
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'taxId',
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'taxAmount',
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'lienCount',
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'propertyType',
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];
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for (const field of fieldsToCompare) {
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const oldValue = previous[field];
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const newValue = current[field];
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if (oldValue !== newValue) {
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changes.push(classifyFieldChange(field, oldValue, newValue, effectiveConfig));
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}
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}
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const addressChanges = detectAddressChanges(previous.address, current.address);
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changes.push(...addressChanges);
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const severity = determineSeverity(changes, effectiveConfig);
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const confidence = computeChangeConfidence(changes, effectiveConfig);
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let changeType: ChangeType = 'metadata_change';
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if (changes.some(c => c.changeType === 'ownership_transfer')) {
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changeType = 'ownership_transfer';
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} else if (changes.some(c => c.changeType === 'deed_change')) {
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changeType = 'deed_change';
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} else if (changes.some(c => c.changeType === 'lien_filing')) {
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changeType = 'lien_filing';
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} else if (changes.some(c => c.changeType === 'tax_change')) {
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changeType = 'tax_change';
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}
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return {
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propertyId: previous.propertyId,
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changeType,
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severity,
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confidence,
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changes,
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previousSnapshot: previous,
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currentSnapshot: current,
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detectedAt: new Date().toISOString(),
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};
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}
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function detectAddressChanges(oldAddr: Address, newAddr: Address): PropertyChange[] {
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const changes: PropertyChange[] = [];
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const addressFields: (keyof Address)[] = ['streetNumber', 'streetName', 'streetType', 'unit', 'city', 'state', 'zip'];
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for (const field of addressFields) {
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const oldVal = oldAddr[field];
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const newVal = newAddr[field];
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if (oldVal !== newVal) {
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changes.push({
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field: `address.${field}`,
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oldValue: oldVal,
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newValue: newVal,
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changeType: 'metadata_change',
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});
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}
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}
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return changes;
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}
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export function shouldTriggerAlert(result: ChangeDetectionResult, minSeverity: Severity = 'moderate'): boolean {
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const severityOrder: Severity[] = ['minor', 'moderate', 'major'];
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const resultIdx = severityOrder.indexOf(result.severity);
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const minIdx = severityOrder.indexOf(minSeverity);
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return resultIdx >= minIdx && result.confidence >= 0.7;
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}
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export { classifyFieldChange, determineSeverity, computeChangeConfidence };
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34
services/hometitle/src/index.ts
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34
services/hometitle/src/index.ts
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@@ -0,0 +1,34 @@
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export {
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matchRecords,
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getConfigForPropertyType,
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parseName,
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normalizeString,
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normalizeStreetType,
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levenshteinDistance,
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similarityScore,
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} from './matcher.service';
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export {
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detectChanges,
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shouldTriggerAlert,
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classifyFieldChange,
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determineSeverity,
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computeChangeConfidence,
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} from './change-detector';
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export type {
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PropertyRecord,
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Address,
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PropertyType,
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PropertySnapshot,
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MatchResult,
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MatchDetails,
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FieldMatch,
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ChangeDetectionResult,
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ChangeType,
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Severity,
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PropertyChange,
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MatchingConfig,
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DetectionConfig,
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NormalizedTokens,
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} from './types';
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309
services/hometitle/src/matcher.service.ts
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309
services/hometitle/src/matcher.service.ts
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@@ -0,0 +1,309 @@
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import {
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Address,
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MatchResult,
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MatchDetails,
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FieldMatch,
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MatchingConfig,
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NormalizedTokens,
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PropertyType,
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} from './types';
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const DEFAULT_CONFIG: MatchingConfig = {
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nameThreshold: 0.85,
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addressThreshold: 0.9,
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overallThreshold: 0.85,
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geocodingRadiusMeters: 100,
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};
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const COMMON_PREFIXES = new Set([
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'mr', 'mrs', 'ms', 'miss', 'dr', 'prof', 'jr', 'sr', 'junior', 'senior',
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'ii', 'iii', 'iv', 'rev', 'st', 'hon', 'esq',
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]);
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const COMMON_SUFFIXES = new Set([
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'jr', 'sr', 'junior', 'senior', 'ii', 'iii', 'iv', 'v', 'esq',
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'phd', 'md', 'llm', 'cpa',
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]);
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const STREET_TYPE_MAP: Record<string, string> = {
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'st': 'street', 'street': 'street',
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'ave': 'avenue', 'avenue': 'avenue',
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'blvd': 'boulevard', 'boulevard': 'boulevard',
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'dr': 'drive', 'drive': 'drive',
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'ln': 'lane', 'lane': 'lane',
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'ct': 'court', 'court': 'court',
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'pl': 'place', 'place': 'place',
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'rd': 'road', 'road': 'road',
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'way': 'way',
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'trl': 'trail', 'trail': 'trail',
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'hwy': 'highway', 'highway': 'highway',
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'pkwy': 'parkway', 'parkway': 'parkway',
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'cir': 'circle', 'circle': 'circle',
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'sq': 'square', 'square': 'square',
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'ter': 'terrace', 'terrace': 'terrace',
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};
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const PROPERTY_TYPE_CONFIGS: Record<PropertyType, Partial<MatchingConfig>> = {
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'residential': { nameThreshold: 0.85, addressThreshold: 0.9 },
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'commercial': { nameThreshold: 0.8, addressThreshold: 0.9 },
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'land': { nameThreshold: 0.8, addressThreshold: 0.85 },
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'multi-family': { nameThreshold: 0.8, addressThreshold: 0.9 },
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};
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function levenshteinDistance(a: string, b: string): number {
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const matrix: number[][] = Array.from({ length: b.length + 1 }, (_, i) =>
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Array.from({ length: a.length + 1 }, (_, j) => (i === 0 ? j : j === 0 ? i : 0))
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);
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for (let i = 1; i <= b.length; i++) {
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for (let j = 1; j <= a.length; j++) {
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const cost = a[j - 1] === b[i - 1] ? 0 : 1;
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matrix[i][j] = Math.min(
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matrix[i - 1][j] + 1,
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matrix[i][j - 1] + 1,
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matrix[i - 1][j - 1] + cost,
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);
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}
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}
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return matrix[b.length][a.length];
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}
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function similarityScore(distance: number, maxLen: number): number {
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if (maxLen === 0) return 1.0;
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return 1.0 - distance / maxLen;
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}
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function normalizeString(str: string): string {
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return str
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.toLowerCase()
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.replace(/[''']/g, '')
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.replace(/[^a-z0-9\s]/g, ' ')
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.replace(/\s+/g, ' ')
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.trim();
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}
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function parseName(name: string): NormalizedTokens {
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const clean = normalizeString(name);
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const parts = clean.split(' ').filter(Boolean);
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let firstName = '';
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let lastName = '';
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let middleName = '';
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const initials: string[] = [];
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if (parts.length === 0) return { firstName, lastName, middleName, initials };
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let startIdx = 0;
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while (startIdx < parts.length && COMMON_PREFIXES.has(parts[startIdx])) {
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startIdx++;
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}
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let endIdx = parts.length;
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while (endIdx > startIdx + 1 && COMMON_SUFFIXES.has(parts[endIdx - 1])) {
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endIdx--;
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}
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const coreParts = parts.slice(startIdx, endIdx);
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if (coreParts.length === 1) {
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lastName = coreParts[0];
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} else if (coreParts.length === 2) {
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firstName = coreParts[0];
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lastName = coreParts[1];
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} else {
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firstName = coreParts[0];
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lastName = coreParts[coreParts.length - 1];
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middleName = coreParts.slice(1, -1).join(' ');
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}
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if (firstName.length === 1) {
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initials.push(firstName);
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}
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if (middleName) {
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const middleParts = middleName.split(' ');
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for (const mp of middleParts) {
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if (mp.length === 1) initials.push(mp);
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}
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}
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return { firstName, lastName, middleName, initials };
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}
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function normalizeStreetType(type: string): string {
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const clean = normalizeString(type);
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return STREET_TYPE_MAP[clean] || clean;
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}
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function normalizeAddress(addr: Address): string {
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const parts = [
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addr.streetNumber,
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normalizeString(addr.streetName),
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addr.streetType ? normalizeStreetType(addr.streetType) : '',
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addr.unit ? normalizeString(addr.unit) : '',
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normalizeString(addr.city),
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addr.state.toLowerCase(),
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addr.zip,
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].filter(Boolean);
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return parts.join(' ');
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}
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function computeFieldMatch(valueA: string, valueB: string, normalizeFn?: (v: string) => string): FieldMatch {
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const normFn = normalizeFn || normalizeString;
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const normalizedA = normFn(valueA);
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const normalizedB = normFn(valueB);
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if (!normalizedA && !normalizedB) return { valueA, valueB, normalizedA, normalizedB, score: 1.0 };
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if (!normalizedA || !normalizedB) return { valueA, valueB, normalizedA, normalizedB, score: 0.0 };
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if (normalizedA === normalizedB) return { valueA, valueB, normalizedA, normalizedB, score: 1.0 };
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const dist = levenshteinDistance(normalizedA, normalizedB);
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const maxLen = Math.max(normalizedA.length, normalizedB.length);
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const score = similarityScore(dist, maxLen);
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return { valueA, valueB, normalizedA, normalizedB, score: Math.round(score * 1000) / 1000 };
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}
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function haversineDistance(lat1: number, lon1: number, lat2: number, lon2: number): number {
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const R = 6371000;
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const dLat = ((lat2 - lat1) * Math.PI) / 180;
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const dLon = ((lon2 - lon1) * Math.PI) / 180;
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const a =
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Math.sin(dLat / 2) * Math.sin(dLat / 2) +
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Math.cos((lat1 * Math.PI) / 180) *
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Math.cos((lat2 * Math.PI) / 180) *
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Math.sin(dLon / 2) *
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Math.sin(dLon / 2);
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const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));
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return R * c;
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}
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function computeNameScore(tokensA: NormalizedTokens, tokensB: NormalizedTokens): number {
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const firstScore = computeFieldMatch(tokensA.firstName, tokensB.firstName).score;
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const lastScore = computeFieldMatch(tokensA.lastName, tokensB.lastName).score;
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const middleScore = computeFieldMatch(tokensA.middleName, tokensB.middleName).score;
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let initialMatchScore = 1.0;
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if (tokensA.initials.length > 0 || tokensB.initials.length > 0) {
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const allInitialsA = new Set(tokensA.initials.map(i => i.toLowerCase()));
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const allInitialsB = new Set(tokensB.initials.map(i => i.toLowerCase()));
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let matched = 0;
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for (const init of allInitialsA) {
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if (allInitialsB.has(init)) matched++;
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}
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const total = Math.max(allInitialsA.size, allInitialsB.size);
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initialMatchScore = total > 0 ? matched / total : 1.0;
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}
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const weighted = (lastScore * 0.45) + (firstScore * 0.35) + (middleScore * 0.1) + (initialMatchScore * 0.1);
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return Math.round(weighted * 1000) / 1000;
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}
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function computeAddressScore(addrA: Address, addrB: Address, config: MatchingConfig): { score: number; geocodingDistance?: number } {
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const numberMatch = computeFieldMatch(addrA.streetNumber, addrB.streetNumber).score;
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const streetMatch = computeFieldMatch(addrA.streetName, addrB.streetName, normalizeString).score;
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const typeMatch = computeFieldMatch(
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addrA.streetType ? normalizeStreetType(addrA.streetType) : '',
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addrB.streetType ? normalizeStreetType(addrB.streetType) : '',
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).score;
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const unitMatch = computeFieldMatch(addrA.unit || '', addrB.unit || '').score;
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const cityMatch = computeFieldMatch(addrA.city, addrB.city).score;
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const stateMatch = computeFieldMatch(addrA.state, addrB.state).score;
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const zipMatch = computeFieldMatch(addrA.zip, addrB.zip).score;
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let geocodingDistance: number | undefined;
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let geoScore = 0.0;
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if (addrA.latitude && addrA.longitude && addrB.latitude && addrB.longitude) {
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geocodingDistance = haversineDistance(addrA.latitude, addrA.longitude, addrB.latitude, addrB.longitude);
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const maxDist = config.geocodingRadiusMeters;
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geoScore = geocodingDistance <= maxDist ? 1.0 : Math.max(0, 1.0 - (geocodingDistance - maxDist) / (maxDist * 5));
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}
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||||
|
||||
const weighted =
|
||||
(numberMatch * 0.2) +
|
||||
(streetMatch * 0.25) +
|
||||
(typeMatch * 0.1) +
|
||||
(unitMatch * 0.1) +
|
||||
(cityMatch * 0.1) +
|
||||
(stateMatch * 0.1) +
|
||||
(zipMatch * 0.1) +
|
||||
(geoScore * (geocodingDistance !== undefined ? 0.05 : 0));
|
||||
|
||||
return { score: Math.round(weighted * 1000) / 1000, geocodingDistance };
|
||||
}
|
||||
|
||||
export function matchRecords(
|
||||
nameA: string,
|
||||
addressA: Address,
|
||||
nameB: string,
|
||||
addressB: Address,
|
||||
config?: Partial<MatchingConfig>,
|
||||
): MatchResult {
|
||||
const effectiveConfig = { ...DEFAULT_CONFIG, ...config };
|
||||
|
||||
const tokensA = parseName(nameA);
|
||||
const tokensB = parseName(nameB);
|
||||
|
||||
const nameScore = computeNameScore(tokensA, tokensB);
|
||||
|
||||
const { score: addressScore, geocodingDistance } = computeAddressScore(addressA, addressB, effectiveConfig);
|
||||
|
||||
const overallConfidence = Math.round((nameScore * 0.5 + addressScore * 0.5) * 1000) / 1000;
|
||||
|
||||
const firstMatch = computeFieldMatch(tokensA.firstName, tokensB.firstName);
|
||||
const lastMatch = computeFieldMatch(tokensA.lastName, tokensB.lastName);
|
||||
const middleMatch = computeFieldMatch(tokensA.middleName, tokensB.middleName);
|
||||
const numberMatch = computeFieldMatch(addressA.streetNumber, addressB.streetNumber);
|
||||
const streetMatch = computeFieldMatch(addressA.streetName, addressB.streetName, normalizeString);
|
||||
const typeMatch = computeFieldMatch(
|
||||
addressA.streetType ? normalizeStreetType(addressA.streetType) : '',
|
||||
addressB.streetType ? normalizeStreetType(addressB.streetType) : '',
|
||||
);
|
||||
const unitMatch = computeFieldMatch(addressA.unit || '', addressB.unit || '');
|
||||
const cityMatch = computeFieldMatch(addressA.city, addressB.city);
|
||||
const stateMatch = computeFieldMatch(addressA.state, addressB.state);
|
||||
const zipMatch = computeFieldMatch(addressA.zip, addressB.zip);
|
||||
|
||||
const normalizedA = normalizeAddress(addressA);
|
||||
const normalizedB = normalizeAddress(addressB);
|
||||
|
||||
const dist = levenshteinDistance(
|
||||
normalizeString(nameA),
|
||||
normalizeString(nameB),
|
||||
);
|
||||
|
||||
const details: MatchDetails = {
|
||||
nameNormalized: [normalizeString(nameA), normalizeString(nameB)],
|
||||
addressNormalized: [normalizedA, normalizedB],
|
||||
levenshteinDistance: dist,
|
||||
geocodingDistance,
|
||||
fields: {
|
||||
firstName: firstMatch,
|
||||
lastName: lastMatch,
|
||||
middleName: middleMatch,
|
||||
streetNumber: numberMatch,
|
||||
streetName: streetMatch,
|
||||
streetType: typeMatch,
|
||||
unit: unitMatch,
|
||||
city: cityMatch,
|
||||
state: stateMatch,
|
||||
zip: zipMatch,
|
||||
},
|
||||
};
|
||||
|
||||
return {
|
||||
nameScore,
|
||||
addressScore,
|
||||
overallConfidence,
|
||||
isMatch: overallConfidence >= effectiveConfig.overallThreshold,
|
||||
details,
|
||||
};
|
||||
}
|
||||
|
||||
export function getConfigForPropertyType(type: PropertyType): MatchingConfig {
|
||||
return { ...DEFAULT_CONFIG, ...PROPERTY_TYPE_CONFIGS[type] };
|
||||
}
|
||||
|
||||
export { parseName, normalizeString, normalizeStreetType, levenshteinDistance, similarityScore };
|
||||
114
services/hometitle/src/types.ts
Normal file
114
services/hometitle/src/types.ts
Normal file
@@ -0,0 +1,114 @@
|
||||
export interface PropertyRecord {
|
||||
id: string;
|
||||
ownerName: string;
|
||||
address: Address;
|
||||
deedDate?: string;
|
||||
taxId?: string;
|
||||
propertyType: PropertyType;
|
||||
metadata?: Record<string, unknown>;
|
||||
}
|
||||
|
||||
export interface Address {
|
||||
streetNumber: string;
|
||||
streetName: string;
|
||||
streetType?: string;
|
||||
unit?: string;
|
||||
city: string;
|
||||
state: string;
|
||||
zip: string;
|
||||
latitude?: number;
|
||||
longitude?: number;
|
||||
}
|
||||
|
||||
export type PropertyType = 'residential' | 'commercial' | 'land' | 'multi-family';
|
||||
|
||||
export interface PropertySnapshot {
|
||||
id: string;
|
||||
propertyId: string;
|
||||
capturedAt: string;
|
||||
ownerName: string;
|
||||
address: Address;
|
||||
deedDate?: string;
|
||||
taxId?: string;
|
||||
propertyType: PropertyType;
|
||||
taxAmount?: number;
|
||||
lienCount?: number;
|
||||
}
|
||||
|
||||
export interface MatchResult {
|
||||
nameScore: number;
|
||||
addressScore: number;
|
||||
overallConfidence: number;
|
||||
isMatch: boolean;
|
||||
details: MatchDetails;
|
||||
}
|
||||
|
||||
export interface MatchDetails {
|
||||
nameNormalized: string[];
|
||||
addressNormalized: string[];
|
||||
levenshteinDistance: number;
|
||||
geocodingDistance?: number;
|
||||
fields: {
|
||||
firstName: FieldMatch;
|
||||
lastName: FieldMatch;
|
||||
middleName: FieldMatch;
|
||||
streetNumber: FieldMatch;
|
||||
streetName: FieldMatch;
|
||||
streetType: FieldMatch;
|
||||
unit: FieldMatch;
|
||||
city: FieldMatch;
|
||||
state: FieldMatch;
|
||||
zip: FieldMatch;
|
||||
};
|
||||
}
|
||||
|
||||
export interface FieldMatch {
|
||||
valueA: string;
|
||||
valueB: string;
|
||||
normalizedA: string;
|
||||
normalizedB: string;
|
||||
score: number;
|
||||
}
|
||||
|
||||
export interface ChangeDetectionResult {
|
||||
propertyId: string;
|
||||
changeType: ChangeType;
|
||||
severity: Severity;
|
||||
confidence: number;
|
||||
changes: PropertyChange[];
|
||||
previousSnapshot: PropertySnapshot;
|
||||
currentSnapshot: PropertySnapshot;
|
||||
detectedAt: string;
|
||||
}
|
||||
|
||||
export type ChangeType = 'tax_change' | 'deed_change' | 'ownership_transfer' | 'lien_filing' | 'metadata_change';
|
||||
|
||||
export type Severity = 'minor' | 'moderate' | 'major';
|
||||
|
||||
export interface PropertyChange {
|
||||
field: string;
|
||||
oldValue: unknown;
|
||||
newValue: unknown;
|
||||
changeType: ChangeType;
|
||||
}
|
||||
|
||||
export interface MatchingConfig {
|
||||
nameThreshold: number;
|
||||
addressThreshold: number;
|
||||
overallThreshold: number;
|
||||
geocodingRadiusMeters: number;
|
||||
}
|
||||
|
||||
export interface DetectionConfig {
|
||||
ownershipNameThreshold: number;
|
||||
deedDateSensitivity: number;
|
||||
taxAmountChangePercent: number;
|
||||
severityOverrides?: Record<ChangeType, Severity>;
|
||||
}
|
||||
|
||||
export interface NormalizedTokens {
|
||||
firstName: string;
|
||||
lastName: string;
|
||||
middleName: string;
|
||||
initials: string[];
|
||||
}
|
||||
Reference in New Issue
Block a user