aknuth/bizmatch-project
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reset criteria on home, show filter on home, new BOM generation, Schema overhaul

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This commit is contained in:
Andreas Knuth
2024-07-23 20:46:38 +02:00
parent 9db23c2177
commit acec14d372
23 changed files with 577 additions and 131 deletions
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26
bizmatch-server/src/drizzle/schema.ts
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@@ -1,9 +1,10 @@
import { boolean, char, doublePrecision, integer, jsonb, pgEnum, pgTable, serial, text, timestamp, uuid, varchar, vector } from 'drizzle-orm/pg-core';
import { boolean, char, doublePrecision, integer, jsonb, pgEnum, pgTable, serial, text, timestamp, uuid, varchar } from 'drizzle-orm/pg-core';
import { AreasServed, LicensedIn } from '../models/db.model';
export const PG_CONNECTION = 'PG_CONNECTION';
export const genderEnum = pgEnum('gender', ['male', 'female']);
export const customerTypeEnum = pgEnum('customerType', ['buyer', 'professional']);
export const customerSubTypeEnum = pgEnum('customerSubType', ['broker', 'cpa', 'attorney', 'titleCompany', 'surveyor', 'appraiser']);
export const listingsCategoryEnum = pgEnum('listingsCategory', ['commercialProperty', 'business']);
export const users = pgTable('users', {
id: uuid('id').primaryKey().defaultRandom(),
@@ -26,7 +27,9 @@ export const users = pgTable('users', {
customerSubType: customerSubTypeEnum('customerSubType'),
created: timestamp('created'),
updated: timestamp('updated'),
embedding: vector('embedding', { dimensions: 1536 }),
latitude: doublePrecision('latitude'),
longitude: doublePrecision('longitude'),
// embedding: vector('embedding', { dimensions: 1536 }),
});
export const businesses = pgTable('businesses', {
@@ -37,10 +40,12 @@ export const businesses = pgTable('businesses', {
description: text('description'),
city: varchar('city', { length: 255 }),
state: char('state', { length: 2 }),
zipCode: integer('zipCode'),
county: varchar('county', { length: 255 }),
price: doublePrecision('price'),
favoritesForUser: varchar('favoritesForUser', { length: 30 }).array(),
draft: boolean('draft'),
listingsCategory: varchar('listingsCategory', { length: 255 }),
listingsCategory: listingsCategoryEnum('listingsCategory'), //varchar('listingsCategory', { length: 255 }),
realEstateIncluded: boolean('realEstateIncluded'),
leasedLocation: boolean('leasedLocation'),
franchiseResale: boolean('franchiseResale'),
@@ -53,18 +58,19 @@ export const businesses = pgTable('businesses', {
reasonForSale: varchar('reasonForSale', { length: 255 }),
brokerLicencing: varchar('brokerLicencing', { length: 255 }),
internals: text('internals'),
imageName: varchar('imagePath', { length: 200 }),
imageName: varchar('imageName', { length: 200 }),
created: timestamp('created'),
updated: timestamp('updated'),
visits: integer('visits'),
lastVisit: timestamp('lastVisit'),
// Neue Spalte für das OpenAI Embedding
embedding: vector('embedding', { dimensions: 1536 }),
latitude: doublePrecision('latitude'),
longitude: doublePrecision('longitude'),
// embedding: vector('embedding', { dimensions: 1536 }),
});
export const commercials = pgTable('commercials', {
id: uuid('id').primaryKey().defaultRandom(),
serialId: serial('serial_id'),
serialId: serial('serialId'),
email: varchar('email', { length: 255 }).references(() => users.email),
type: varchar('type', { length: 255 }),
title: varchar('title', { length: 255 }),
@@ -73,7 +79,7 @@ export const commercials = pgTable('commercials', {
state: char('state', { length: 2 }),
price: doublePrecision('price'),
favoritesForUser: varchar('favoritesForUser', { length: 30 }).array(),
listingsCategory: varchar('listingsCategory', { length: 255 }),
listingsCategory: listingsCategoryEnum('listingsCategory'), //listingsCategory: varchar('listingsCategory', { length: 255 }),
hideImage: boolean('hideImage'),
draft: boolean('draft'),
zipCode: integer('zipCode'),
@@ -84,5 +90,7 @@ export const commercials = pgTable('commercials', {
updated: timestamp('updated'),
visits: integer('visits'),
lastVisit: timestamp('lastVisit'),
embedding: vector('embedding', { dimensions: 1536 }),
latitude: doublePrecision('latitude'),
longitude: doublePrecision('longitude'),
// embedding: vector('embedding', { dimensions: 1536 }),
});