7a854373b3
Add normalized (ASCII-only) fields to Typesense schema and indexer so users can search without diacritics (e.g. "can ho" finds "căn hộ"). Create synonym collection for HCMC district abbreviations and common property-type aliases. Enable num_typos:2 for fuzzy matching. - Add 7 normalized fields (title, description, address, ward, district, city, projectName) using Address.normalize() at index time - Search queries both original Vietnamese and normalized field sets - Upsert 28 Vietnamese synonym rules on collection init - Normalize user query to ASCII alongside original for dual matching - Update tests for new fields and synonym upsert behavior Co-Authored-By: Paperclip <noreply@paperclip.ing>
79 lines
2.6 KiB
TypeScript
79 lines
2.6 KiB
TypeScript
import { type ListingDocument } from '../../domain/repositories/search.repository';
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import { Address } from '@modules/listings/domain/value-objects/address.vo';
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export interface RawListingRow {
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listingId: string;
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propertyId: string;
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title: string;
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description: string;
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propertyType: string;
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transactionType: string;
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priceVND: bigint;
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pricePerM2: number | null;
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areaM2: number;
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bedrooms: number | null;
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bathrooms: number | null;
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floors: number | null;
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direction: string | null;
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address: string;
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ward: string;
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district: string;
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city: string;
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lat: number | null;
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lng: number | null;
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agentId: string | null;
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sellerId: string;
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status: string;
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publishedAt: Date | string | null;
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viewCount: number;
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saveCount: number;
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projectName: string | null;
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legalStatus?: string | null;
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amenities: unknown;
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featuredUntil?: Date | string | null;
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}
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/** Map a raw SQL row to the domain ListingDocument shape. */
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export function mapRowToListingDocument(row: RawListingRow): ListingDocument {
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return {
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id: row.listingId,
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listingId: row.listingId,
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propertyId: row.propertyId,
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title: row.title,
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description: row.description,
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propertyType: row.propertyType,
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transactionType: row.transactionType,
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priceVND: Number(row.priceVND),
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pricePerM2: row.pricePerM2 ? Number(row.pricePerM2) : null,
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areaM2: Number(row.areaM2),
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bedrooms: row.bedrooms,
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bathrooms: row.bathrooms,
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floors: row.floors,
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direction: row.direction,
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address: row.address,
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ward: row.ward,
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district: row.district,
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city: row.city,
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location: [row.lat ?? 0, row.lng ?? 0] as [number, number],
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agentId: row.agentId,
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sellerId: row.sellerId,
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status: row.status,
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publishedAt: row.publishedAt ? Math.floor(new Date(row.publishedAt).getTime() / 1000) : 0,
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viewCount: row.viewCount ?? 0,
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saveCount: row.saveCount ?? 0,
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projectName: row.projectName,
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legalStatus: row.legalStatus ?? null,
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amenities: Array.isArray(row.amenities) ? (row.amenities as string[]) : [],
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isFeatured: row.featuredUntil && new Date(row.featuredUntil) > new Date() ? 1 : 0,
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// Vietnamese diacritic-normalized fields
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titleNormalized: Address.normalize(row.title),
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descriptionNormalized: Address.normalize(row.description),
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addressNormalized: Address.normalize(row.address),
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wardNormalized: Address.normalize(row.ward),
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districtNormalized: Address.normalize(row.district),
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cityNormalized: Address.normalize(row.city),
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projectNameNormalized: row.projectName ? Address.normalize(row.projectName) : null,
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};
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}
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