feat: migrate app to local Fastify and Postgres stack
Replace Supabase auth and search runtime with a local Fastify API, PostgreSQL/PostGIS schema, and local session handling. Scaffold the worker and deep-research foundations while keeping the existing research, dashboard, and map flows running on the new backend.
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pguerrerox
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import type { Pool, PoolClient } from 'pg';
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import type { BusinessUpsertRecord } from './google-places.js';
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import { mapBusinessRow, mapSearchJobRow, type BusinessDto, type BusinessRow, type RunSearchInput, type SearchJobDto, type SearchJobResultLinkDto, type SearchJobRow, } from './types.js';
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type DbClient = Pool | PoolClient;
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export async function createSearchJob(db: DbClient, userId: string, payload: RunSearchInput) {
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const now = new Date().toISOString();
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const jobName = payload.name || `${payload.businessType} in ${payload.location}`;
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const result = await db.query<SearchJobRow>(
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`
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insert into public.search_jobs (
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user_id, name, city, radius_km, business_type, keywords, status, total_results, started_at, created_at, updated_at
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)
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values ($1, $2, $3, $4, $5, $6, 'running', 0, $7, $7, $7)
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returning id, user_id, name, city, address, postal_code, radius_km, business_type, keywords,
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status, total_results, started_at, completed_at, created_at, updated_at
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`,
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[userId, jobName, payload.location, payload.radiusKm, payload.businessType, payload.keywords ?? null, now],
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);
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return mapSearchJobRow(result.rows[0]);
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}
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export async function updateSearchJobCenter(db: DbClient, jobId: string, lat: number, lng: number) {
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await db.query(
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`
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update public.search_jobs
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set search_center_geom = ST_SetSRID(ST_MakePoint($2, $1), 4326)::geography,
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updated_at = now()
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where id = $3
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`,
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[lat, lng, jobId],
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);
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}
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export async function completeSearchJob(db: DbClient, jobId: string, totalResults: number) {
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const completedAt = new Date().toISOString();
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const result = await db.query<SearchJobRow>(
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`
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update public.search_jobs
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set total_results = $2,
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status = 'completed',
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completed_at = $3,
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updated_at = $3
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where id = $1
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returning id, user_id, name, city, address, postal_code, radius_km, business_type, keywords,
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status, total_results, started_at, completed_at, created_at, updated_at
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`,
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[jobId, totalResults, completedAt],
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);
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return mapSearchJobRow(result.rows[0]);
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}
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export async function failSearchJob(db: DbClient, jobId: string) {
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await db.query(
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`
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update public.search_jobs
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set status = 'failed', updated_at = now()
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where id = $1
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`,
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[jobId],
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);
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}
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export async function upsertBusiness(db: DbClient, userId: string, business: BusinessUpsertRecord) {
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const result = await db.query<{ id: string }>(
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`
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insert into public.businesses (
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user_id, external_source_id, source, name, address, city, state_province, postal_code, country,
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phone, website, rating, review_count, category, latitude, longitude, geom, metadata_json,
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first_seen_at, last_seen_at, updated_at
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)
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values (
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$1, $2, $3, $4, $5, $6, $7, $8, $9,
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$10, $11, $12, $13, $14, $15, $16,
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case when $15 is not null and $16 is not null then ST_SetSRID(ST_MakePoint($16, $15), 4326)::geography else null end,
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$17::jsonb, $18, $19, $20
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)
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on conflict (user_id, source, external_source_id)
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do update set
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name = excluded.name,
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address = excluded.address,
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city = excluded.city,
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state_province = excluded.state_province,
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postal_code = excluded.postal_code,
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country = excluded.country,
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phone = excluded.phone,
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website = excluded.website,
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rating = excluded.rating,
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review_count = excluded.review_count,
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category = excluded.category,
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latitude = excluded.latitude,
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longitude = excluded.longitude,
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geom = excluded.geom,
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metadata_json = excluded.metadata_json,
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last_seen_at = excluded.last_seen_at,
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updated_at = excluded.updated_at
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returning id
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`,
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[
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userId,
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business.externalSourceId,
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business.source,
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business.name,
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business.address,
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business.city,
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business.stateProvince,
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business.postalCode,
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business.country,
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business.phone,
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business.website,
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business.rating,
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business.reviewCount,
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business.category,
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business.latitude,
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business.longitude,
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JSON.stringify(business.metadataJson),
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business.firstSeenAt,
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business.lastSeenAt,
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business.updatedAt,
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],
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);
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return result.rows[0].id;
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}
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export async function upsertSearchJobResult(
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db: DbClient,
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input: { userId: string; searchJobId: string; businessId: string; matchedKeywords: string[] | null; rank: number; capturedAt: string },
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) {
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await db.query(
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`
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insert into public.search_job_results (user_id, search_job_id, business_id, matched_keywords, rank, captured_at)
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values ($1, $2, $3, $4, $5, $6)
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on conflict (search_job_id, business_id)
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do update set
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matched_keywords = excluded.matched_keywords,
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rank = excluded.rank,
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captured_at = excluded.captured_at
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`,
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[input.userId, input.searchJobId, input.businessId, input.matchedKeywords, input.rank, input.capturedAt],
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);
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}
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export async function listSearchJobsForUser(db: DbClient, userId: string, limit = 100) {
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const result = await db.query<SearchJobRow>(
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`
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select id, user_id, name, city, address, postal_code, radius_km, business_type, keywords,
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status, total_results, started_at, completed_at, created_at, updated_at
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from public.search_jobs
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where user_id = $1
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order by created_at desc
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limit $2
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`,
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[userId, limit],
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);
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return result.rows.map(mapSearchJobRow);
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}
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export async function getSearchJobForUser(db: DbClient, userId: string, jobId: string) {
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const result = await db.query<SearchJobRow>(
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`
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select id, user_id, name, city, address, postal_code, radius_km, business_type, keywords,
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status, total_results, started_at, completed_at, created_at, updated_at
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from public.search_jobs
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where user_id = $1 and id = $2
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limit 1
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`,
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[userId, jobId],
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);
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if (result.rowCount === 0) {
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return null;
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}
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return mapSearchJobRow(result.rows[0]);
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}
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export async function listBusinessesForUser(db: DbClient, userId: string) {
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const result = await db.query<BusinessRow>(
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`
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select id, user_id, external_source_id, source, name, address, city, state_province, postal_code,
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country, phone, website, rating, review_count, category, hours_json, latitude, longitude,
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general_info, metadata_json, first_seen_at, last_seen_at, created_at, updated_at
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from public.businesses
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where user_id = $1
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order by created_at desc
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`,
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[userId],
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);
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return result.rows.map(mapBusinessRow);
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}
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export async function listSearchJobResultLinksForUser(db: DbClient, userId: string): Promise<SearchJobResultLinkDto[]> {
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const result = await db.query<{ business_id: string; search_job_id: string }>(
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`
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select business_id, search_job_id
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from public.search_job_results
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where user_id = $1
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`,
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[userId],
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);
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return result.rows.map((row) => ({ businessId: row.business_id, searchJobId: row.search_job_id }));
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}
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export async function listBusinessesForJobIds(db: DbClient, userId: string, jobIds: string[]): Promise<BusinessDto[]> {
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if (jobIds.length === 0) {
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return [];
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}
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const result = await db.query<BusinessRow>(
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`
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select distinct b.id, b.user_id, b.external_source_id, b.source, b.name, b.address, b.city, b.state_province, b.postal_code,
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b.country, b.phone, b.website, b.rating, b.review_count, b.category, b.hours_json, b.latitude, b.longitude,
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b.general_info, b.metadata_json, b.first_seen_at, b.last_seen_at, b.created_at, b.updated_at
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from public.businesses b
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join public.search_job_results r on r.business_id = b.id
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where b.user_id = $1 and r.search_job_id = any($2::uuid[])
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order by b.created_at desc
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`,
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[userId, jobIds],
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);
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return result.rows.map(mapBusinessRow);
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}
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