fix: apply consistent-type-imports across API codebase (728 lint errors)

- Convert `import type { X }` to `import { type X }` (inline-type-imports style)
- Suppress consistent-type-imports for `typeof import()` in instrument.ts
- Includes uncommitted agent work: metrics module, redis caching, audit logs,
  saved searches, circuit breaker, rate limiting, and admin enhancements

Co-Authored-By: Paperclip <noreply@paperclip.ing>
This commit is contained in:
Ho Ngoc Hai
2026-04-10 23:22:21 +07:00
parent 8cdfe17205
commit 6ebacbc9bf
85 changed files with 3844 additions and 82 deletions

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@@ -1,3 +1,5 @@
export { TypesenseClientService } from './typesense-client.service';
export { TypesenseSearchRepository } from './typesense-search.repository';
export { PostgresSearchRepository } from './postgres-search.repository';
export { ResilientSearchRepository, SEARCH_DEGRADATION_TOTAL } from './resilient-search.repository';
export { ListingIndexerService } from './listing-indexer.service';

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@@ -0,0 +1,360 @@
import { Injectable } from '@nestjs/common';
import { Prisma } from '@prisma/client';
import { type LoggerService, type PrismaService } from '@modules/shared';
import {
type ISearchRepository,
type ListingDocument,
type SearchParams,
type SearchResult,
} from '../../domain/repositories/search.repository';
/**
* PostgreSQL-backed search repository used as a fallback when Typesense
* is unavailable.
*
* Capabilities:
* - Full-text search via PostgreSQL `to_tsvector` / `plainto_tsquery`
* - Geo radius filtering via PostGIS `ST_DWithin`
* - Faceted filters (property type, transaction type, price range, area, etc.)
*
* Limitations compared to Typesense:
* - No relevance-ranked highlighting
* - Slower for large result sets
* - Vietnamese language support depends on PG config (defaults to 'simple')
*/
@Injectable()
export class PostgresSearchRepository implements ISearchRepository {
constructor(
private readonly prisma: PrismaService,
private readonly logger: LoggerService,
) {}
/**
* Search listings using PostgreSQL full-text search + PostGIS.
* Parses the Typesense-style `filterBy` string to build SQL conditions.
*/
async search(params: SearchParams): Promise<SearchResult> {
const startMs = Date.now();
const page = params.page ?? 1;
const perPage = params.perPage ?? 20;
const offset = (page - 1) * perPage;
const conditions: Prisma.Sql[] = [Prisma.sql`l."status" = 'ACTIVE'`];
const parsed = this.parseFilterBy(params.filterBy ?? '');
// ── Parsed Typesense-style filters ─────────────────────────────────
if (parsed.propertyType) {
conditions.push(Prisma.sql`p."propertyType" = ${parsed.propertyType}`);
}
if (parsed.transactionType) {
conditions.push(Prisma.sql`l."transactionType" = ${parsed.transactionType}`);
}
if (parsed.priceMin !== undefined && parsed.priceMax !== undefined) {
conditions.push(Prisma.sql`l."priceVND" BETWEEN ${BigInt(parsed.priceMin)} AND ${BigInt(parsed.priceMax)}`);
} else if (parsed.priceMin !== undefined) {
conditions.push(Prisma.sql`l."priceVND" >= ${BigInt(parsed.priceMin)}`);
} else if (parsed.priceMax !== undefined) {
conditions.push(Prisma.sql`l."priceVND" <= ${BigInt(parsed.priceMax)}`);
}
if (parsed.areaMin !== undefined && parsed.areaMax !== undefined) {
conditions.push(Prisma.sql`p."areaM2" BETWEEN ${parsed.areaMin} AND ${parsed.areaMax}`);
} else if (parsed.areaMin !== undefined) {
conditions.push(Prisma.sql`p."areaM2" >= ${parsed.areaMin}`);
} else if (parsed.areaMax !== undefined) {
conditions.push(Prisma.sql`p."areaM2" <= ${parsed.areaMax}`);
}
if (parsed.bedrooms !== undefined) {
conditions.push(Prisma.sql`p."bedrooms" >= ${parsed.bedrooms}`);
}
if (parsed.district) {
conditions.push(Prisma.sql`p."district" = ${parsed.district}`);
}
if (parsed.city) {
conditions.push(Prisma.sql`p."city" = ${parsed.city}`);
}
// ── Geo radius filter (PostGIS) ────────────────────────────────────
if (params.geoPoint && params.geoRadiusKm) {
const radiusMeters = params.geoRadiusKm * 1000;
conditions.push(
Prisma.sql`ST_DWithin(
p."location"::geography,
ST_SetSRID(ST_MakePoint(${params.geoPoint.lng}, ${params.geoPoint.lat}), 4326)::geography,
${radiusMeters}
)`,
);
}
// ── Full-text search condition ─────────────────────────────────────
const hasTextQuery = params.query && params.query !== '*';
if (hasTextQuery) {
conditions.push(
Prisma.sql`(
to_tsvector('simple', coalesce(p."title", '') || ' ' || coalesce(p."description", '') || ' ' || coalesce(p."address", '') || ' ' || coalesce(p."district", '') || ' ' || coalesce(p."city", ''))
@@ plainto_tsquery('simple', ${params.query!})
)`,
);
}
const whereClause = Prisma.sql`WHERE ${Prisma.join(conditions, ' AND ')}`;
// ── Count total matches ────────────────────────────────────────────
const countResult = await this.prisma.$queryRaw<[{ count: bigint }]>(
Prisma.sql`
SELECT COUNT(*) as count
FROM "Listing" l
JOIN "Property" p ON l."propertyId" = p."id"
${whereClause}
`,
);
const totalFound = Number(countResult[0]?.count ?? 0);
// ── Sorting ────────────────────────────────────────────────────────
let orderClause: Prisma.Sql;
if (params.geoPoint && (params.sortBy === 'distance' || (!params.sortBy && params.geoRadiusKm))) {
orderClause = Prisma.sql`ORDER BY ST_Distance(
p."location"::geography,
ST_SetSRID(ST_MakePoint(${params.geoPoint.lng}, ${params.geoPoint.lat}), 4326)::geography
) ASC`;
} else {
switch (params.sortBy) {
case 'price_asc':
orderClause = Prisma.sql`ORDER BY l."priceVND" ASC`;
break;
case 'price_desc':
orderClause = Prisma.sql`ORDER BY l."priceVND" DESC`;
break;
case 'date_desc':
orderClause = Prisma.sql`ORDER BY l."publishedAt" DESC NULLS LAST`;
break;
case 'relevance':
default:
if (hasTextQuery) {
orderClause = Prisma.sql`ORDER BY ts_rank(
to_tsvector('simple', coalesce(p."title", '') || ' ' || coalesce(p."description", '') || ' ' || coalesce(p."address", '') || ' ' || coalesce(p."district", '') || ' ' || coalesce(p."city", '')),
plainto_tsquery('simple', ${params.query!})
) DESC, l."publishedAt" DESC NULLS LAST`;
} else {
orderClause = Prisma.sql`ORDER BY l."publishedAt" DESC NULLS LAST`;
}
break;
}
}
// ── Fetch rows ─────────────────────────────────────────────────────
const rows = await this.prisma.$queryRaw<RawListingRow[]>(
Prisma.sql`
SELECT
l."id" AS "listingId",
l."propertyId" AS "propertyId",
p."title" AS "title",
p."description" AS "description",
p."propertyType" AS "propertyType",
l."transactionType" AS "transactionType",
l."priceVND" AS "priceVND",
l."pricePerM2" AS "pricePerM2",
p."areaM2" AS "areaM2",
p."bedrooms" AS "bedrooms",
p."bathrooms" AS "bathrooms",
p."floors" AS "floors",
p."direction" AS "direction",
p."address" AS "address",
p."ward" AS "ward",
p."district" AS "district",
p."city" AS "city",
ST_Y(p."location"::geometry) AS "lat",
ST_X(p."location"::geometry) AS "lng",
l."agentId" AS "agentId",
l."sellerId" AS "sellerId",
l."status" AS "status",
l."publishedAt" AS "publishedAt",
l."viewCount" AS "viewCount",
l."saveCount" AS "saveCount",
p."projectName" AS "projectName",
p."amenities" AS "amenities"
FROM "Listing" l
JOIN "Property" p ON l."propertyId" = p."id"
${whereClause}
${orderClause}
LIMIT ${perPage} OFFSET ${offset}
`,
);
const hits: ListingDocument[] = rows.map((row) => ({
id: row.listingId,
listingId: row.listingId,
propertyId: row.propertyId,
title: row.title,
description: row.description,
propertyType: row.propertyType,
transactionType: row.transactionType,
priceVND: Number(row.priceVND),
pricePerM2: row.pricePerM2 ? Number(row.pricePerM2) : null,
areaM2: Number(row.areaM2),
bedrooms: row.bedrooms,
bathrooms: row.bathrooms,
floors: row.floors,
direction: row.direction,
address: row.address,
ward: row.ward,
district: row.district,
city: row.city,
location: [row.lat ?? 0, row.lng ?? 0] as [number, number],
agentId: row.agentId,
sellerId: row.sellerId,
status: row.status,
publishedAt: row.publishedAt ? Math.floor(new Date(row.publishedAt).getTime() / 1000) : 0,
viewCount: row.viewCount ?? 0,
saveCount: row.saveCount ?? 0,
projectName: row.projectName,
amenities: Array.isArray(row.amenities) ? (row.amenities as string[]) : [],
}));
const searchTimeMs = Date.now() - startMs;
return {
hits,
totalFound,
page,
perPage,
totalPages: Math.ceil(totalFound / perPage),
searchTimeMs,
};
}
// ── Indexing operations are no-ops for the PG fallback ───────────────
async indexDocument(_doc: ListingDocument): Promise<void> {
// Data already lives in PostgreSQL — nothing to do.
}
async indexDocuments(_docs: ListingDocument[]): Promise<void> {
// Data already lives in PostgreSQL — nothing to do.
}
async removeDocument(_id: string): Promise<void> {
// No separate index to clean up.
}
async ensureCollection(): Promise<void> {
// PostgreSQL tables/indexes are managed by Prisma migrations.
}
async dropCollection(): Promise<void> {
// Not applicable for PostgreSQL fallback.
}
// ── Helpers ──────────────────────────────────────────────────────────
/**
* Minimal parser for the Typesense-style `filterBy` strings produced
* by the query handlers.
*
* Expected format examples:
* "status:=ACTIVE && propertyType:=HOUSE && priceVND:[2000..5000]"
* "status:=ACTIVE && priceVND:>=1000 && bedrooms:>=3"
*/
private parseFilterBy(filterStr: string): ParsedFilters {
const result: ParsedFilters = {};
if (!filterStr) return result;
const clauses = filterStr.split('&&').map((c) => c.trim());
for (const clause of clauses) {
// Range: field:[min..max]
const rangeMatch = clause.match(/^(\w+):\[(\d+)\.\.(\d+)\]$/);
if (rangeMatch) {
const field = rangeMatch[1]!;
const min = Number(rangeMatch[2]);
const max = Number(rangeMatch[3]);
if (field === 'priceVND') {
result.priceMin = min;
result.priceMax = max;
} else if (field === 'areaM2') {
result.areaMin = min;
result.areaMax = max;
}
continue;
}
// Equality: field:=value
const eqMatch = clause.match(/^(\w+):=(.+)$/);
if (eqMatch) {
const field = eqMatch[1]!;
const val = eqMatch[2]!;
if (field === 'propertyType') result.propertyType = val;
else if (field === 'transactionType') result.transactionType = val;
else if (field === 'district') result.district = val;
else if (field === 'city') result.city = val;
else if (field === 'status') { /* handled separately */ }
continue;
}
// Gte: field:>=value
const gteMatch = clause.match(/^(\w+):>=(\d+(?:\.\d+)?)$/);
if (gteMatch) {
const field = gteMatch[1]!;
const val = Number(gteMatch[2]);
if (field === 'priceVND') result.priceMin = val;
else if (field === 'areaM2') result.areaMin = val;
else if (field === 'bedrooms') result.bedrooms = val;
continue;
}
// Lte: field:<=value
const lteMatch = clause.match(/^(\w+):<=(\d+(?:\.\d+)?)$/);
if (lteMatch) {
const field = lteMatch[1]!;
const val = Number(lteMatch[2]);
if (field === 'priceVND') result.priceMax = val;
else if (field === 'areaM2') result.areaMax = val;
continue;
}
// Geo filter: location:(lat, lng, radius km) — skip, handled via params
}
return result;
}
}
interface ParsedFilters {
propertyType?: string;
transactionType?: string;
priceMin?: number;
priceMax?: number;
areaMin?: number;
areaMax?: number;
bedrooms?: number;
district?: string;
city?: string;
}
interface RawListingRow {
listingId: string;
propertyId: string;
title: string;
description: string;
propertyType: string;
transactionType: string;
priceVND: bigint;
pricePerM2: number | null;
areaM2: number;
bedrooms: number | null;
bathrooms: number | null;
floors: number | null;
direction: string | null;
address: string;
ward: string;
district: string;
city: string;
lat: number | null;
lng: number | null;
agentId: string | null;
sellerId: string;
status: string;
publishedAt: Date | string | null;
viewCount: number;
saveCount: number;
projectName: string | null;
amenities: unknown;
}

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@@ -1,6 +1,6 @@
import { Injectable } from '@nestjs/common';
import { type Client as TypesenseClient } from 'typesense';
import type { CollectionCreateSchema } from 'typesense/lib/Typesense/Collections';
import { type CollectionCreateSchema } from 'typesense/lib/Typesense/Collections';
import { type LoggerService } from '@modules/shared';
import {
type ISearchRepository,