Initial commit: STR Optimization Manager MVP
Full-stack short-term rental management platform with: - React/Vite frontend with dark theme dashboard, performance, pricing, reservations, experiments, and settings pages - Fastify API server with auth, platform management, performance tracking, pricing, reservations, experiments, and weekly report endpoints - Playwright-based scraper service with Airbnb adapter (login with MFA, performance metrics, reservations, calendar pricing, price changes) - VRBO adapter scaffold and mock adapter for development - PostgreSQL with Drizzle ORM, migrations, and seed scripts - Job queue with worker for async scraping tasks - AES-256-GCM credential encryption for platform credentials - Session cookie persistence for scraper browser sessions - Docker Compose for PostgreSQL database Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
12
apps/api/drizzle.config.ts
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12
apps/api/drizzle.config.ts
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@@ -0,0 +1,12 @@
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import { defineConfig } from 'drizzle-kit';
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import dotenv from 'dotenv';
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dotenv.config({ path: '../../.env' });
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export default defineConfig({
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schema: './src/db/schema.ts',
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out: './src/db/migrations',
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dialect: 'postgresql',
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dbCredentials: {
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url: process.env.DATABASE_URL!,
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},
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});
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41
apps/api/package.json
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41
apps/api/package.json
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@@ -0,0 +1,41 @@
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{
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"name": "@str/api",
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"version": "0.1.0",
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"private": true,
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"type": "module",
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"scripts": {
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"dev": "tsx watch src/index.ts",
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"build": "tsc",
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"start": "node dist/index.js",
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"db:generate": "drizzle-kit generate",
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"db:migrate": "drizzle-kit migrate",
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"db:seed": "tsx src/db/seed.ts",
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"db:seed:demo": "tsx src/db/seed-demo.ts",
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"db:seed:clean": "tsx src/db/seed-clean.ts",
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"db:restore:demo": "psql $DATABASE_URL < src/db/demo-seed.sql"
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},
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"dependencies": {
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"@str/shared-types": "*",
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"fastify": "^5.2.0",
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"@fastify/cors": "^10.0.0",
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"@fastify/cookie": "^11.0.0",
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"@fastify/jwt": "^9.0.0",
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"drizzle-orm": "^0.38.0",
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"postgres": "^3.4.0",
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"bcrypt": "^5.1.1",
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"node-cron": "^3.0.3",
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"nodemailer": "^6.9.0",
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"zod": "^3.24.0",
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"dotenv": "^16.4.0",
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"fastify-plugin": "^5.0.0"
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},
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"devDependencies": {
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"@types/bcrypt": "^5.0.2",
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"@types/node": "^22.0.0",
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"@types/node-cron": "^3.0.11",
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"@types/nodemailer": "^6.4.17",
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"drizzle-kit": "^0.30.0",
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"tsx": "^4.19.0",
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"typescript": "^5.7.0"
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}
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}
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27
apps/api/src/config.ts
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27
apps/api/src/config.ts
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@@ -0,0 +1,27 @@
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import dotenv from 'dotenv';
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import { fileURLToPath } from 'url';
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import { dirname, resolve } from 'path';
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import { z } from 'zod';
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const __dirname = dirname(fileURLToPath(import.meta.url));
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dotenv.config({ path: resolve(__dirname, '../../../.env') });
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const envSchema = z.object({
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DATABASE_URL: z.string().min(1),
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JWT_SECRET: z.string().min(1),
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ENCRYPTION_KEY: z.string().min(1),
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APP_USERNAME: z.string().min(1),
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APP_PASSWORD_HASH: z.string().min(1),
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SMTP_HOST: z.string().optional(),
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SMTP_PORT: z.coerce.number().optional().default(587),
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SMTP_USER: z.string().optional(),
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SMTP_PASS: z.string().optional(),
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REPORT_EMAIL_TO: z.string().optional(),
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SCRAPER_URL: z.string().default('http://localhost:3001'),
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});
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export type Config = z.infer<typeof envSchema>;
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export const config: Config = envSchema.parse(process.env);
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545
apps/api/src/db/demo-seed.sql
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545
apps/api/src/db/demo-seed.sql
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@@ -0,0 +1,545 @@
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--
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-- PostgreSQL database dump
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--
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\restrict MeN1ws58DquMlfn6S1mGywDt5fuo6rhsE6g75LgmXhiU6DV4nSIsGAX8gVJ0f2n
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-- Dumped from database version 16.13
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-- Dumped by pg_dump version 16.13
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SET statement_timeout = 0;
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SET lock_timeout = 0;
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SET idle_in_transaction_session_timeout = 0;
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SET client_encoding = 'UTF8';
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SET standard_conforming_strings = on;
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SELECT pg_catalog.set_config('search_path', '', false);
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SET check_function_bodies = false;
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SET xmloption = content;
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SET client_min_messages = warning;
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SET row_security = off;
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--
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-- Data for Name: __drizzle_migrations; Type: TABLE DATA; Schema: drizzle; Owner: str_manager
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--
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INSERT INTO drizzle.__drizzle_migrations VALUES (1, 'ad15e3288889b1c1a4e2a827a3805267b06787a9dafee630dfde2b265bf2e90c', 1774223467634);
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--
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-- Data for Name: platforms; Type: TABLE DATA; Schema: public; Owner: str_manager
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--
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INSERT INTO public.platforms VALUES ('airbnb', 'Airbnb', NULL, NULL, NULL, true);
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INSERT INTO public.platforms VALUES ('vrbo', 'VRBO', NULL, NULL, NULL, true);
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INSERT INTO public.platforms VALUES ('mock', 'Mock (Dev)', NULL, NULL, NULL, true);
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--
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-- Data for Name: daily_prices; Type: TABLE DATA; Schema: public; Owner: str_manager
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--
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INSERT INTO public.daily_prices VALUES ('2c9dea07-ec0d-48f5-b8a8-d7110c39bbb1', 'airbnb', '2025-12-23', 237.95, true, 1, '2025-12-23 05:00:00+00');
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INSERT INTO public.daily_prices VALUES ('dd1f5e59-4c64-4f68-81e5-29a6598b22cc', 'airbnb', '2025-12-24', 194.13, true, 1, '2025-12-24 05:00:00+00');
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INSERT INTO public.daily_prices VALUES ('a1852c5a-c712-443c-8b9d-6c8c2eab081b', 'airbnb', '2025-12-25', 235.94, true, 1, '2025-12-25 05:00:00+00');
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INSERT INTO public.daily_prices VALUES ('d9debe06-4f06-4749-8186-0636450764c3', 'airbnb', '2025-12-26', 195.10, true, 2, '2025-12-26 05:00:00+00');
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INSERT INTO public.daily_prices VALUES ('11bcd32e-ef92-4c61-9f04-d2fd55b5761f', 'airbnb', '2025-12-27', 191.84, true, 2, '2025-12-27 05:00:00+00');
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INSERT INTO public.daily_prices VALUES ('b7c303f0-4570-4bec-ae35-7e4506571831', 'airbnb', '2025-12-28', 249.27, true, 2, '2025-12-28 05:00:00+00');
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INSERT INTO public.daily_prices VALUES ('9255fbb6-c744-4bf2-a7f8-fb16f8248a17', 'airbnb', '2025-12-29', 174.15, true, 1, '2025-12-29 05:00:00+00');
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INSERT INTO public.daily_prices VALUES ('4cef5cdd-0354-48ab-b35a-87d2ba36b71c', 'airbnb', '2025-12-30', 233.95, true, 1, '2025-12-30 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('2f664dbf-8ccc-4f30-b488-27f1650fda9f', 'airbnb', '2025-12-31', 163.79, true, 1, '2025-12-31 05:00:00+00');
|
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INSERT INTO public.daily_prices VALUES ('d68f65ea-f2e1-4c8a-ab7e-7fe078f4a8dd', 'airbnb', '2026-01-01', 196.62, true, 1, '2026-01-01 05:00:00+00');
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||||
INSERT INTO public.daily_prices VALUES ('9929a38c-03c8-4bbf-9e17-dc1f0d459dfa', 'airbnb', '2026-01-02', 290.31, true, 2, '2026-01-02 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('6a55a1b7-8283-4a5f-b2fb-f7de046cb143', 'airbnb', '2026-01-03', 247.44, true, 2, '2026-01-03 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('02024d55-bae0-499b-86fc-6856d1576924', 'airbnb', '2026-01-04', 298.87, true, 2, '2026-01-04 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('621cc0bd-d499-4e36-ad3b-239374980d43', 'airbnb', '2026-01-05', 225.26, false, 1, '2026-01-05 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('0efe73d0-ca93-4629-8192-63662bcfe764', 'airbnb', '2026-01-06', 164.11, true, 1, '2026-01-06 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('4e653a32-cfcd-42d0-a6f8-fcd9c7cc0803', 'airbnb', '2026-01-07', 186.78, true, 1, '2026-01-07 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('312e8284-ccdb-4ddd-a5ee-f8ef6c02a472', 'airbnb', '2026-01-08', 242.66, false, 1, '2026-01-08 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('8d33139a-d235-4e44-a02d-873a087460a4', 'airbnb', '2026-01-09', 208.09, false, 2, '2026-01-09 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('41ec240d-15de-409f-8f55-882f16f33dbb', 'airbnb', '2026-01-10', 216.00, true, 2, '2026-01-10 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('9a6ae96b-03f0-40e4-a984-5479a9503421', 'airbnb', '2026-01-11', 254.83, true, 2, '2026-01-11 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('4cd31c31-1911-4845-864f-ffc0fc0bd9f6', 'airbnb', '2026-01-12', 180.48, true, 1, '2026-01-12 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('24710d96-c5e3-467b-bdd7-71774a3916da', 'airbnb', '2026-01-13', 201.25, false, 1, '2026-01-13 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('07d4c62f-585d-4b34-b28e-d0b57be028b6', 'airbnb', '2026-01-14', 234.48, true, 1, '2026-01-14 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('f85aa922-16bd-4c3f-b9c9-f9980f48b69d', 'airbnb', '2026-01-15', 240.79, true, 1, '2026-01-15 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('9ce4ffc0-2285-45e5-9b5b-aa3a95108c19', 'airbnb', '2026-01-16', 252.73, false, 2, '2026-01-16 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('fab441e7-8bdb-4b09-a417-0c6b349b0959', 'airbnb', '2026-01-17', 325.09, true, 2, '2026-01-17 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('38148a0f-742c-438e-92b9-70f82565a231', 'airbnb', '2026-01-18', 246.46, true, 2, '2026-01-18 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('2cdbebcd-3158-43f9-8467-85188410f113', 'airbnb', '2026-01-19', 246.85, true, 1, '2026-01-19 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('1926caaf-9c20-48b9-8979-a2267d07b192', 'airbnb', '2026-01-20', 221.77, true, 1, '2026-01-20 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('c2e2691a-0c9c-44a3-a7d1-46939fee3df0', 'airbnb', '2026-01-21', 244.93, true, 1, '2026-01-21 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('41e57335-31af-40e7-b0c6-7294dab2131c', 'airbnb', '2026-01-22', 184.38, false, 1, '2026-01-22 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('f04b3baf-8071-44e3-9edc-b481687486b2', 'airbnb', '2026-01-23', 300.03, true, 2, '2026-01-23 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('e0352ebf-9642-4d6b-a8e4-185e60bae543', 'airbnb', '2026-01-24', 287.10, true, 2, '2026-01-24 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('a5cf1b79-7baf-4cf2-8a11-6efa368f8b19', 'airbnb', '2026-01-25', 261.57, true, 2, '2026-01-25 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('7e965a25-bdde-441b-94e9-06395c448f71', 'airbnb', '2026-01-26', 182.52, true, 1, '2026-01-26 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('8996b768-71d3-45d1-8f6e-a0a6da83af42', 'airbnb', '2026-01-27', 237.59, false, 1, '2026-01-27 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('84e5dd9d-b708-4df3-8a3b-dcf876a26c62', 'airbnb', '2026-01-28', 164.46, true, 1, '2026-01-28 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('cea3a47f-1784-4419-b234-cbf13bca7c47', 'airbnb', '2026-01-29', 166.64, false, 1, '2026-01-29 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('66a6b2f8-59e9-43d3-8067-6b826d3d9e57', 'airbnb', '2026-01-30', 250.10, true, 2, '2026-01-30 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('4b887be4-1507-4433-bcc0-9dae5c20b6ff', 'airbnb', '2026-01-31', 303.08, true, 2, '2026-01-31 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('2f355b7e-7492-488b-a37c-fa92cd293571', 'airbnb', '2026-02-01', 229.66, true, 2, '2026-02-01 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('600623bd-d604-47ca-ab53-6485977e239b', 'airbnb', '2026-02-02', 244.30, true, 1, '2026-02-02 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('fe31882c-9b0b-47d4-8e19-f6b94510a872', 'airbnb', '2026-02-03', 177.29, true, 1, '2026-02-03 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('0662fddb-e7d7-423d-8e33-5f144a5a1432', 'airbnb', '2026-02-04', 225.51, true, 1, '2026-02-04 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('5f12731a-adf5-4bd3-981c-99dd50cc421f', 'airbnb', '2026-02-05', 199.96, true, 1, '2026-02-05 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('9c440537-e4ae-4c56-8cd5-4be5dc3d582b', 'airbnb', '2026-02-06', 282.86, true, 2, '2026-02-06 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('ae8003e0-358f-4b69-a92a-8ee3a0cd3c01', 'airbnb', '2026-02-07', 309.42, true, 2, '2026-02-07 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('4ff3ab6f-9f0c-4f5d-b994-cf7f7b2da380', 'airbnb', '2026-02-08', 224.26, false, 2, '2026-02-08 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('6dd9ead4-e6c0-4b72-aed2-42a3516fe717', 'airbnb', '2026-02-09', 227.35, true, 1, '2026-02-09 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('6e725f12-0d6a-4a70-a5a1-e628f448a544', 'airbnb', '2026-02-10', 162.89, true, 1, '2026-02-10 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('883fb377-6532-41ae-b533-0fe1388cf768', 'airbnb', '2026-02-11', 218.63, true, 1, '2026-02-11 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('974b56a4-97de-4da7-b116-044a29c0fed2', 'airbnb', '2026-02-12', 171.73, true, 1, '2026-02-12 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('a9135752-c32d-475c-b652-e1716ba1ba57', 'airbnb', '2026-02-13', 189.10, true, 2, '2026-02-13 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('dfa95f66-0b3f-4d30-8aaf-916ac1a0cb49', 'airbnb', '2026-02-14', 341.28, true, 2, '2026-02-14 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('b091cdca-6d4a-4c37-9452-89e8f0d2049c', 'airbnb', '2026-02-15', 268.24, true, 2, '2026-02-15 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('db55b412-5bfc-4d69-b527-7a065f408edb', 'airbnb', '2026-02-16', 159.41, true, 1, '2026-02-16 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('05184acc-7c48-43b6-a7b0-3e93e4a722b4', 'airbnb', '2026-02-17', 157.34, true, 1, '2026-02-17 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('7b0c965f-7e3f-4e5e-816e-3ce3ddf953b7', 'airbnb', '2026-02-18', 222.94, true, 1, '2026-02-18 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('59a3a5e3-fdd0-4142-9cfa-639d1e70984c', 'airbnb', '2026-02-19', 232.85, true, 1, '2026-02-19 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('56446833-d44c-4d61-a3e4-c0f3749080f1', 'airbnb', '2026-02-20', 188.73, true, 2, '2026-02-20 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('9c0e4c8c-2e60-489c-bf58-b19dc9352187', 'airbnb', '2026-02-21', 221.09, true, 2, '2026-02-21 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('d6b83823-b2b3-49b8-ad70-3e2357403ab9', 'airbnb', '2026-02-22', 299.01, true, 2, '2026-02-22 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('02739fe6-9480-4f8b-8038-9eba4eb51451', 'airbnb', '2026-02-23', 211.04, true, 1, '2026-02-23 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('421546f8-b1ea-4f51-b426-fc2f5ed34cb6', 'airbnb', '2026-02-24', 180.85, true, 1, '2026-02-24 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('889f9040-e3ec-478e-9ed0-85275f950368', 'airbnb', '2026-02-25', 185.16, true, 1, '2026-02-25 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('8ddaf51a-7c09-4a1a-9303-9b8b0865227b', 'airbnb', '2026-02-26', 254.54, true, 1, '2026-02-26 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('4c8cf0f1-3d70-4dd7-bb14-48d43bc0f128', 'airbnb', '2026-02-27', 282.83, false, 2, '2026-02-27 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('4043b859-8096-43f6-a4c9-0520176aa1d4', 'airbnb', '2026-02-28', 296.40, true, 2, '2026-02-28 05:00:00+00');
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
INSERT INTO public.daily_prices VALUES ('fb14010d-0dfd-40a3-8b16-75a6eed5d3f1', 'vrbo', '2026-02-11', 176.65, true, 1, '2026-02-11 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('7d15debf-bbfd-4a7f-8669-fa9fc8a40f47', 'vrbo', '2026-02-12', 222.24, true, 1, '2026-02-12 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('a18440f6-4829-499a-84ad-b9484a0c3944', 'vrbo', '2026-02-13', 263.91, true, 2, '2026-02-13 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('57b56e55-b59b-46d2-ad0f-f89acc34a471', 'vrbo', '2026-02-14', 259.97, true, 2, '2026-02-14 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('530614fd-39b5-412e-aa9d-a2c238777be7', 'vrbo', '2026-02-15', 193.89, true, 2, '2026-02-15 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('b1cfd580-a89b-4a65-b757-5f0b13e9ab33', 'vrbo', '2026-02-16', 209.09, true, 1, '2026-02-16 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('7c038c7b-7a19-4867-8b71-060c8ef64ce1', 'vrbo', '2026-02-17', 221.17, true, 1, '2026-02-17 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('8ba39ab5-1092-4f7a-a1fd-a53ed173d33c', 'vrbo', '2026-02-18', 227.03, true, 1, '2026-02-18 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('dcaedf18-31ec-4e96-b9e3-7c986fa50830', 'vrbo', '2026-02-19', 240.63, true, 1, '2026-02-19 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('fb6e116e-f0ee-46a4-8d02-6d3fd3614cc4', 'vrbo', '2026-02-20', 264.04, true, 2, '2026-02-20 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('bb71c3e6-4e9e-4a4c-a914-73f2ecddac30', 'vrbo', '2026-02-21', 261.36, true, 2, '2026-02-21 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('3cb03c40-56c5-4311-bcfe-1ccce1aa25d3', 'vrbo', '2026-02-22', 250.35, false, 2, '2026-02-22 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('0f1fe27e-36f4-4863-9ec4-ac057709dd2a', 'vrbo', '2026-02-23', 194.31, true, 1, '2026-02-23 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('7d2a24a1-1a61-4c41-8dd0-583d96ef0ca3', 'vrbo', '2026-02-24', 216.36, true, 1, '2026-02-24 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('b0ee14d6-f037-4640-b738-162c3524d42e', 'vrbo', '2026-02-25', 248.33, false, 1, '2026-02-25 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('471ed7cf-2a1f-46b5-8a08-ba5d5e18500d', 'vrbo', '2026-02-26', 241.62, false, 1, '2026-02-26 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('c91cc721-1b32-4a08-9ce1-4a32be45aff2', 'vrbo', '2026-02-27', 277.87, true, 2, '2026-02-27 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('2cddb799-b926-4222-aa65-e0c4a2d61931', 'vrbo', '2026-02-28', 229.45, false, 2, '2026-02-28 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('5fb76c31-0cb3-4cfd-9de4-bafd61b0b543', 'vrbo', '2026-03-01', 240.38, true, 2, '2026-03-01 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('62d3d7f8-3fb7-45fb-93d0-79054b924c4f', 'vrbo', '2026-03-02', 208.47, true, 1, '2026-03-02 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('8c8e1eb3-d5a7-4a6e-8f28-807fdd913359', 'vrbo', '2026-03-03', 203.70, true, 1, '2026-03-03 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('e34a0d7e-f39d-4fcc-9c48-a0b7d33c1faf', 'vrbo', '2026-03-04', 191.99, true, 1, '2026-03-04 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('f4067600-2701-4679-9267-c1527170c404', 'vrbo', '2026-03-05', 175.46, false, 1, '2026-03-05 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('3f14ee80-b3ac-4cd5-988e-9e53c5f2c121', 'vrbo', '2026-03-06', 247.94, true, 2, '2026-03-06 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('68cc38c2-aeae-4b0c-bd9a-60b4bb74636b', 'vrbo', '2026-03-07', 202.52, true, 2, '2026-03-07 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('89730edc-2bda-4b83-b725-ea45af253796', 'vrbo', '2026-03-08', 249.99, true, 2, '2026-03-08 05:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('7e2138d5-7fd3-42ac-b4c3-9b55bd4b5fd5', 'vrbo', '2026-03-09', 183.16, true, 1, '2026-03-09 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('7d0fa092-9d46-44dc-a2b8-27821f5af1f8', 'vrbo', '2026-03-10', 208.75, false, 1, '2026-03-10 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('4253f00f-5e01-49aa-adab-a433bbea762d', 'vrbo', '2026-03-11', 195.87, true, 1, '2026-03-11 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('adc088ab-a6d2-4d75-befa-5b8030302c1d', 'vrbo', '2026-03-12', 217.33, true, 1, '2026-03-12 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('7be41ebf-c53a-4436-91dd-a6055a46f18f', 'vrbo', '2026-03-13', 326.82, true, 2, '2026-03-13 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('88bfd1b6-ea0f-4da5-9c47-d77694a2520c', 'vrbo', '2026-03-14', 209.27, true, 2, '2026-03-14 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('2da98a40-bc28-4389-8a53-27921d487136', 'vrbo', '2026-03-15', 345.83, false, 2, '2026-03-15 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('17b79dbf-1de4-424a-af0f-7d8b9734f0b7', 'vrbo', '2026-03-16', 255.31, false, 1, '2026-03-16 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('55346d5a-9cf8-45fc-828b-8326dc723382', 'vrbo', '2026-03-17', 215.49, true, 1, '2026-03-17 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('5d6b34a6-a72f-4a12-9c10-98809f0afc7d', 'vrbo', '2026-03-18', 215.74, true, 1, '2026-03-18 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('aaf63647-2cf8-4c27-b504-d83d1630d9aa', 'vrbo', '2026-03-19', 220.55, true, 1, '2026-03-19 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('155323e3-cb9f-476a-b1c7-e00055e9df36', 'vrbo', '2026-03-20', 280.97, true, 2, '2026-03-20 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('3dd75efd-68e5-47ef-b4aa-61d264f0ae50', 'vrbo', '2026-03-21', 264.34, true, 2, '2026-03-21 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('d2f9b63d-a335-42c6-8819-fe81fdb1f33a', 'vrbo', '2026-03-22', 323.49, true, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('384a80b1-0670-453d-8a76-fb1efef72bc3', 'vrbo', '2026-03-23', 221.25, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('c17633a0-7229-4812-8b55-2eae11a7f331', 'vrbo', '2026-03-24', 231.85, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('ee198138-ed30-441c-8b1a-76bc13a7ed7d', 'vrbo', '2026-03-25', 254.89, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('f5f14ea6-9441-4f31-a34b-00a79fe109a4', 'vrbo', '2026-03-26', 232.54, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('207f3bdd-cbe1-4003-a5cf-d7f0562a2267', 'vrbo', '2026-03-27', 279.08, true, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('e1cfa57f-cc81-448e-94ba-bf778e1d505a', 'vrbo', '2026-03-28', 347.93, true, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('2920f98f-c062-4b92-a649-dffc79423b9d', 'vrbo', '2026-03-29', 247.31, true, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('93d4e29a-8ba8-45d4-b3cf-bce8bd34ae14', 'vrbo', '2026-03-30', 239.21, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('742caaca-3ded-4ac5-94a5-49968841106c', 'vrbo', '2026-03-31', 185.94, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('c65408e6-14a9-4878-83ee-562870df2a8c', 'vrbo', '2026-04-01', 198.91, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('5a516832-fbbb-4ae2-8ce6-48b228045573', 'vrbo', '2026-04-02', 238.87, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('acf3bb0f-ad57-40e1-b9a7-951726639db0', 'vrbo', '2026-04-03', 240.52, true, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('be39fab2-dcc8-46bd-950d-5f718a1df1ba', 'vrbo', '2026-04-04', 240.56, false, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('c36fea22-bc12-471b-bc19-631ac5a4a53f', 'vrbo', '2026-04-05', 344.03, true, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('e83e9fb8-0eb7-4974-8410-1662577e033a', 'vrbo', '2026-04-06', 259.61, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('437d1fee-b933-4615-b95a-9ccbb460f939', 'vrbo', '2026-04-07', 212.35, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('f415db90-3679-4502-a05a-fde530215e27', 'vrbo', '2026-04-08', 185.00, false, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('b851aef4-1fce-4826-91f4-70314219de66', 'vrbo', '2026-04-09', 195.79, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('b2b4930c-ee19-4611-9d09-88d902bd16ae', 'vrbo', '2026-04-10', 215.78, true, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('ac7ee906-15ad-474c-98df-b41d4bd58f91', 'vrbo', '2026-04-11', 267.56, true, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('d76ef069-8d69-49dc-a648-890cbf8034b2', 'vrbo', '2026-04-12', 225.30, false, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('259a4b27-75fc-42f4-92c8-16b2ffe7da6d', 'vrbo', '2026-04-13', 160.55, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('4199fd01-cfb0-479f-a2e9-b524a9f2d00e', 'vrbo', '2026-04-14', 246.16, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('843d9fbb-d63c-409d-98ee-0807ed99587b', 'vrbo', '2026-04-15', 229.60, false, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('c1a93d3f-6353-4223-9fdf-d6c37445e143', 'vrbo', '2026-04-16', 213.72, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('d7cbc98c-d60b-40f8-8f9c-d33fb55c1e3b', 'vrbo', '2026-04-17', 227.68, true, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('0d0a467f-ecbd-440c-a21f-f1df0b71b3e3', 'vrbo', '2026-04-18', 320.55, true, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('25ec3766-1c97-4714-add3-8bb86dca116f', 'vrbo', '2026-04-19', 259.75, true, 2, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('502cebf6-7a75-451a-a1b5-d98dfaa27e6a', 'vrbo', '2026-04-20', 177.45, true, 1, '2026-03-22 04:00:00+00');
|
||||
INSERT INTO public.daily_prices VALUES ('817c4d2e-3799-465d-9301-b696c1642cb8', 'vrbo', '2026-04-21', 214.50, true, 1, '2026-03-22 04:00:00+00');
|
||||
|
||||
|
||||
--
|
||||
-- Data for Name: experiments; Type: TABLE DATA; Schema: public; Owner: str_manager
|
||||
--
|
||||
|
||||
INSERT INTO public.experiments VALUES ('93286d29-29ac-494a-945e-38a6da3511a9', 'Weekend Premium Pricing', 'Increasing weekend rates by 15% will maintain occupancy while boosting revenue.', '2026-01-21', '2026-02-20', 'completed', '2026-03-22 23:53:19.584947+00', 'Weekend premium of 15% maintained 92% of baseline bookings while increasing weekend revenue by 11%.');
|
||||
INSERT INTO public.experiments VALUES ('495d07b2-2d8b-4a8e-b0f4-0c686ff54723', 'Minimum Stay Reduction', 'Reducing minimum stay from 3 nights to 2 nights on weekdays will fill gap nights and increase occupancy.', '2026-02-20', '2026-03-15', 'completed', '2026-03-22 23:53:19.584947+00', 'Occupancy rose 8% during the test period. Gap nights filled at an acceptable rate. Recommend keeping 2-night min on weekdays.');
|
||||
INSERT INTO public.experiments VALUES ('84410aa4-4b71-43f2-8fe3-5df561d8cb88', 'Dynamic Last-Minute Discount', 'Offering a 10% discount for bookings within 3 days of check-in will reduce vacancy on otherwise-empty nights.', '2026-03-08', NULL, 'active', '2026-03-22 23:53:19.584947+00', NULL);
|
||||
|
||||
|
||||
--
|
||||
-- Data for Name: performance_snapshots; Type: TABLE DATA; Schema: public; Owner: str_manager
|
||||
--
|
||||
|
||||
INSERT INTO public.performance_snapshots VALUES ('e37a3501-cb67-4180-909e-0195d5975349', 'airbnb', '2025-12-23 05:00:00+00', '2025-12-23', 1518, 246, 2.44, 6, 79.5, 166.61, 3974.32, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('1a8ae8cc-db15-4576-8b33-7e9c5c61c996', 'airbnb', '2025-12-24 05:00:00+00', '2025-12-24', 1898, 352, 0.57, 2, 59.7, 236.57, 4234.21, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('a81e12ff-4865-4472-829b-15d04fc0eeb6', 'airbnb', '2025-12-25 05:00:00+00', '2025-12-25', 917, 335, 1.79, 6, 62.8, 209.20, 3942.35, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('b0e8c48c-f428-40b9-9fd4-730843a39eb5', 'airbnb', '2025-12-26 05:00:00+00', '2025-12-26', 1199, 426, 1.41, 6, 79.3, 243.08, 5780.30, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('4d6df332-e34c-454c-b1b6-ad988cec2f57', 'airbnb', '2025-12-27 05:00:00+00', '2025-12-27', 1246, 121, 1.65, 2, 58.7, 223.01, 3925.95, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('c32976de-f31d-4ce7-8501-4afa7e75412e', 'airbnb', '2025-12-28 05:00:00+00', '2025-12-28', 1306, 299, 1.67, 5, 63.7, 150.93, 2885.49, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('6672972f-cd76-4b58-b6ae-6718d8d7492b', 'airbnb', '2025-12-29 05:00:00+00', '2025-12-29', 1595, 259, 1.16, 3, 68.0, 237.44, 4846.82, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('66e4d1d6-d914-40a6-bc04-0e7d82b7e4f8', 'airbnb', '2025-12-30 05:00:00+00', '2025-12-30', 1617, 114, 7.02, 8, 75.2, 236.43, 5333.25, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('ee8f88ea-cb0f-44be-92bd-f030fab19d57', 'airbnb', '2025-12-31 05:00:00+00', '2025-12-31', 937, 368, 2.72, 10, 84.5, 229.28, 5809.68, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('4ef0c205-cef1-43fd-b41d-afd95ff5ccdb', 'airbnb', '2026-01-01 05:00:00+00', '2026-01-01', 1876, 483, 0.62, 3, 80.7, 239.06, 5785.00, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('b6243d4d-74c1-49e7-a129-6b46d007f814', 'airbnb', '2026-01-02 05:00:00+00', '2026-01-02', 1050, 113, 7.08, 8, 83.5, 231.92, 5809.88, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('3bdbd4d1-d7c8-48a5-ae32-133bdd369cbe', 'airbnb', '2026-01-03 05:00:00+00', '2026-01-03', 742, 192, 1.56, 3, 60.8, 180.60, 3291.74, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('c4b9b5f3-2480-41fb-9adf-d75aeb020fdc', 'airbnb', '2026-01-04 05:00:00+00', '2026-01-04', 1988, 485, 0.62, 3, 77.7, 242.74, 5657.54, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('d6d72802-6a71-4a09-861d-0fe545a993dd', 'airbnb', '2026-01-05 05:00:00+00', '2026-01-05', 516, 257, 1.95, 5, 62.5, 203.90, 3824.34, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('05b72597-d958-4361-aabd-58347df90261', 'airbnb', '2026-01-06 05:00:00+00', '2026-01-06', 1206, 460, 0.87, 4, 57.9, 155.47, 2698.69, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('790fcd04-df70-40da-909b-d16bf103fa12', 'airbnb', '2026-01-07 05:00:00+00', '2026-01-07', 1484, 350, 1.71, 6, 58.6, 172.37, 3028.03, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('bfa1eec0-670d-499c-b772-56e5fce9162c', 'airbnb', '2026-01-08 05:00:00+00', '2026-01-08', 1431, 230, 0.87, 2, 72.7, 205.23, 4474.93, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('1d55ceb1-2a00-419e-afc6-16f470b6147b', 'airbnb', '2026-01-09 05:00:00+00', '2026-01-09', 1660, 415, 0.72, 3, 69.9, 154.28, 3234.88, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('eae7310f-0909-465c-9ed5-761c34dc3f1f', 'airbnb', '2026-01-10 05:00:00+00', '2026-01-10', 1805, 320, 0.94, 3, 58.4, 156.97, 2751.81, '{"source": "seed", "generated": true}');
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||||
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|
||||
INSERT INTO public.performance_snapshots VALUES ('4185234b-68c8-4764-8669-f6ab55a7ad6f', 'vrbo', '2026-03-13 04:00:00+00', '2026-03-13', 1274, 248, 0.81, 2, 63.8, 182.72, 3499.50, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('b9631b12-291c-4be5-b7c3-ca12c0781b2b', 'vrbo', '2026-03-14 04:00:00+00', '2026-03-14', 1263, 253, 1.58, 4, 70.0, 234.80, 4931.46, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('fefb99b9-aa03-485b-90cf-2b63d9de5d1c', 'vrbo', '2026-03-15 04:00:00+00', '2026-03-15', 552, 169, 2.37, 4, 86.4, 218.05, 5654.37, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('868c761c-f604-47dd-820d-6a69efb1bf41', 'vrbo', '2026-03-16 04:00:00+00', '2026-03-16', 595, 142, 1.41, 2, 62.1, 210.00, 3915.28, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('e27e93d6-764e-4e75-8358-62cae817ab03', 'vrbo', '2026-03-17 04:00:00+00', '2026-03-17', 1258, 262, 1.53, 4, 82.7, 262.06, 6502.75, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('96f05ce2-1948-4e34-b110-406cc3756de2', 'vrbo', '2026-03-18 04:00:00+00', '2026-03-18', 1139, 71, 2.82, 2, 72.3, 259.55, 5631.93, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('017227c3-99dc-4f62-a64b-f0f9e6a04f44', 'vrbo', '2026-03-19 04:00:00+00', '2026-03-19', 537, 87, 4.60, 4, 60.5, 230.69, 4187.59, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('fccbd533-f7d9-48e1-9b4b-aff8622a74a9', 'vrbo', '2026-03-20 04:00:00+00', '2026-03-20', 416, 240, 0.83, 2, 69.0, 248.46, 5139.61, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('f7e1c486-52c6-422e-b73c-82bfb0f84188', 'vrbo', '2026-03-21 04:00:00+00', '2026-03-21', 1300, 81, 3.70, 3, 76.4, 241.36, 5530.78, '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.performance_snapshots VALUES ('22822337-fba4-4e5b-a670-e8c3035e5d02', 'vrbo', '2026-03-22 04:00:00+00', '2026-03-22', 388, 234, 1.71, 4, 74.6, 246.57, 5517.31, '{"source": "seed", "generated": true}');
|
||||
|
||||
|
||||
--
|
||||
-- Data for Name: price_changes; Type: TABLE DATA; Schema: public; Owner: str_manager
|
||||
--
|
||||
|
||||
INSERT INTO public.price_changes VALUES ('9ea58dc0-9c2a-4a7b-b880-aeb408f2502e', 'airbnb', '2026-02-06', 195.69, 225.05, '2026-03-22 23:53:19.624483+00', 'experiment', 'Weekend premium pricing experiment', '93286d29-29ac-494a-945e-38a6da3511a9');
|
||||
INSERT INTO public.price_changes VALUES ('f0ccc342-2bdd-48ee-a93c-6c1303604021', 'vrbo', '2026-01-28', 212.45, 244.32, '2026-03-22 23:53:19.624483+00', 'experiment', 'Weekend premium pricing experiment', '93286d29-29ac-494a-945e-38a6da3511a9');
|
||||
INSERT INTO public.price_changes VALUES ('267a9989-eda2-4c6b-84ea-6c5091e11d37', 'airbnb', '2026-02-03', 199.81, 229.78, '2026-03-22 23:53:19.624483+00', 'experiment', 'Weekend premium pricing experiment', '93286d29-29ac-494a-945e-38a6da3511a9');
|
||||
INSERT INTO public.price_changes VALUES ('728c0a86-f214-423e-bc1f-c386cc549578', 'vrbo', '2026-02-10', 183.61, 211.15, '2026-03-22 23:53:19.624483+00', 'experiment', 'Weekend premium pricing experiment', '93286d29-29ac-494a-945e-38a6da3511a9');
|
||||
INSERT INTO public.price_changes VALUES ('01f0d793-2dd3-48f9-9ef9-7b34fec2584a', 'airbnb', '2026-02-19', 207.13, 238.20, '2026-03-22 23:53:19.624483+00', 'experiment', 'Weekend premium pricing experiment', '93286d29-29ac-494a-945e-38a6da3511a9');
|
||||
INSERT INTO public.price_changes VALUES ('2f78b2cb-234c-4ada-926e-d9ff4864c9f0', 'vrbo', '2026-01-22', 192.77, 221.68, '2026-03-22 23:53:19.624483+00', 'experiment', 'Weekend premium pricing experiment', '93286d29-29ac-494a-945e-38a6da3511a9');
|
||||
INSERT INTO public.price_changes VALUES ('34aa0f2f-2dac-4b0c-a74d-b84d77c60316', 'airbnb', '2026-01-22', 211.19, 242.87, '2026-03-22 23:53:19.624483+00', 'experiment', 'Weekend premium pricing experiment', '93286d29-29ac-494a-945e-38a6da3511a9');
|
||||
INSERT INTO public.price_changes VALUES ('0908dac9-9bc9-4fd5-a398-908b1c53b5d6', 'vrbo', '2026-02-03', 192.50, 221.38, '2026-03-22 23:53:19.624483+00', 'experiment', 'Weekend premium pricing experiment', '93286d29-29ac-494a-945e-38a6da3511a9');
|
||||
INSERT INTO public.price_changes VALUES ('1849553b-ec27-4e8a-87ea-7a83112ecf33', 'airbnb', '2026-03-10', 233.93, 252.46, '2026-03-22 23:53:19.624483+00', 'manual', 'Manual price adjustment', NULL);
|
||||
INSERT INTO public.price_changes VALUES ('0ae102c4-2372-4646-a51d-92692d48c6c7', 'airbnb', '2026-03-17', 202.66, 186.09, '2026-03-22 23:53:19.624483+00', 'manual', 'Manual price adjustment', NULL);
|
||||
INSERT INTO public.price_changes VALUES ('ecfe30ec-a7b0-4fcb-b019-a7e594ab0f05', 'airbnb', '2026-03-10', 219.61, 216.50, '2026-03-22 23:53:19.624483+00', 'manual', 'Manual price adjustment', NULL);
|
||||
INSERT INTO public.price_changes VALUES ('5fb17220-1d5e-4d9a-aa2c-da1c62452efb', 'airbnb', '2026-02-28', 198.23, 182.94, '2026-03-22 23:53:19.624483+00', 'manual', 'Manual price adjustment', NULL);
|
||||
|
||||
|
||||
--
|
||||
-- Data for Name: reservations; Type: TABLE DATA; Schema: public; Owner: str_manager
|
||||
--
|
||||
|
||||
INSERT INTO public.reservations VALUES ('51619f59-a28e-4200-bd71-53f1abfcd8bb', 'vrbo', 'VRBO-1001', 'Sarah Johnson', '2026-03-05', '2026-03-09', 4, 1, 182.12, 109, 24.56, 812.91, 'completed', '2026-02-15 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('04416b43-c1fd-4023-a98a-69320627d205', 'airbnb', 'AIRBNB-1002', 'Michael Chen', '2026-03-02', '2026-03-07', 5, 6, 256.74, 83, 61.11, 1305.59, 'completed', '2026-02-04 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('99fbfe16-fa3e-42cf-8dd3-4e5bf669a59d', 'airbnb', 'AIRBNB-1003', 'Emily Rodriguez', '2026-03-04', '2026-03-06', 2, 2, 191.40, 94, 13.50, 463.29, 'completed', '2026-02-24 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('1c35d6e5-ae54-4082-a0ef-65dd9f475a7f', 'vrbo', 'VRBO-1004', 'James Wilson', '2026-03-05', '2026-03-11', 6, 3, 255.52, 149, 50.52, 1631.57, 'completed', '2026-02-18 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('d8be4d57-62de-463b-a13e-88b737f95424', 'airbnb', 'AIRBNB-1005', 'Amanda Foster', '2026-01-07', '2026-01-10', 3, 4, 187.53, 91, 25.68, 627.90, 'completed', '2025-12-14 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('ffd9cabd-47df-48b2-ba6f-37ba94b59a98', 'airbnb', 'AIRBNB-1006', 'David Kim', '2026-01-05', '2026-01-08', 3, 3, 164.14, 114, 17.35, 589.06, 'completed', '2026-01-01 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('af9f48de-4568-4338-81f3-3671c6fd437e', 'vrbo', 'VRBO-1007', 'Jessica Taylor', '2026-03-13', '2026-03-20', 7, 5, 182.06, 110, 38.37, 1346.05, 'completed', '2026-02-16 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('36529cc5-1867-4ec7-b333-9b37b75eb8cc', 'airbnb', 'AIRBNB-1008', 'Robert Martinez', '2026-03-07', '2026-03-11', 4, 3, 193.30, 76, 33.25, 815.94, 'completed', '2026-02-25 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('ec1838fb-3503-4abe-af7f-0c3cf603dd0a', 'airbnb', 'AIRBNB-1009', 'Lisa Anderson', '2025-12-30', '2026-01-02', 3, 6, 279.86, 90, 31.28, 898.29, 'completed', '2025-12-09 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('d0555972-1045-4930-8857-0f12cdb52371', 'vrbo', 'VRBO-1010', 'Chris Thompson', '2026-01-04', '2026-01-11', 7, 3, 210.60, 128, 73.50, 1528.72, 'completed', '2025-12-20 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('a33e70f5-59c7-4288-9d65-e55b7b28b9eb', 'airbnb', 'AIRBNB-1011', 'Rachel Lee', '2026-03-01', '2026-03-03', 2, 6, 174.00, 89, 17.00, 419.99, 'completed', '2026-02-13 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('c92ea7c2-efc5-4cde-b076-0ac7aebf7568', 'airbnb', 'AIRBNB-1012', 'Daniel Brown', '2026-01-25', '2026-01-31', 6, 4, 237.65, 108, 53.90, 1479.98, 'completed', '2026-01-01 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('68a41a37-9932-48c4-a3ba-2b26f81f6b58', 'vrbo', 'VRBO-1013', 'Maria Garcia', '2026-03-12', '2026-03-19', 7, 1, 253.22, 84, 68.53, 1788.00, 'completed', '2026-02-26 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('2a9b6665-4a85-4460-bdcd-d05f13d5cce9', 'airbnb', 'AIRBNB-1014', 'Kevin Wright', '2026-01-02', '2026-01-07', 5, 4, 255.56, 84, 41.63, 1320.16, 'completed', '2025-12-24 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
INSERT INTO public.reservations VALUES ('b6e7d75f-9d2d-4700-994d-ff0943043c65', 'airbnb', 'AIRBNB-1015', 'Stephanie Davis', '2026-02-17', '2026-02-20', 3, 6, 254.88, 142, 36.75, 869.88, 'completed', '2026-01-26 05:00:00+00', '2026-03-22 23:53:19.622069+00', '{"source": "seed", "generated": true}');
|
||||
|
||||
|
||||
--
|
||||
-- Data for Name: scrape_jobs; Type: TABLE DATA; Schema: public; Owner: str_manager
|
||||
--
|
||||
|
||||
INSERT INTO public.scrape_jobs VALUES ('5e87a505-7e50-4d2a-bda9-16f30f76ba65', 'airbnb', 'performance', 'manual', 'completed', '2026-03-16 04:00:00+00', '2026-03-16 04:01:14+00', NULL, 50);
|
||||
INSERT INTO public.scrape_jobs VALUES ('08e3157b-5d6d-4009-9485-23dccbd7bc6a', 'airbnb', 'calendar', 'scheduled', 'completed', '2026-03-08 05:00:00+00', '2026-03-08 05:01:07+00', NULL, 194);
|
||||
INSERT INTO public.scrape_jobs VALUES ('19977120-01b9-4ed4-8a30-b513ceba46d0', 'airbnb', 'performance', 'scheduled', 'completed', '2026-03-18 04:00:00+00', '2026-03-18 04:01:41+00', NULL, 135);
|
||||
INSERT INTO public.scrape_jobs VALUES ('874266e0-d821-4953-848c-ad8ef1ab4532', 'airbnb', 'calendar', 'scheduled', 'completed', '2026-03-15 04:00:00+00', '2026-03-15 04:00:06+00', NULL, 105);
|
||||
INSERT INTO public.scrape_jobs VALUES ('113ae8d3-364c-4f4c-a4d3-2f55912ed8c8', 'airbnb', 'performance', 'scheduled', 'completed', '2026-03-03 05:00:00+00', '2026-03-03 05:01:28+00', NULL, 169);
|
||||
INSERT INTO public.scrape_jobs VALUES ('4981633e-a8e3-437b-b8ee-7c51d4227746', 'vrbo', 'performance', 'manual', 'completed', '2026-02-27 05:00:00+00', '2026-02-27 05:01:49+00', NULL, 155);
|
||||
INSERT INTO public.scrape_jobs VALUES ('792564e6-7196-4408-892d-1e0e8e621acd', 'vrbo', 'calendar', 'scheduled', 'completed', '2026-02-28 05:00:00+00', '2026-02-28 05:01:26+00', NULL, 69);
|
||||
INSERT INTO public.scrape_jobs VALUES ('453e6d24-4a92-48d9-ac40-ef5cfac1ef66', 'vrbo', 'performance', 'scheduled', 'completed', '2026-03-01 05:00:00+00', '2026-03-01 05:00:17+00', NULL, 13);
|
||||
INSERT INTO public.scrape_jobs VALUES ('ed8f5c32-eae1-4ca0-ac08-68092185a055', 'vrbo', 'calendar', 'scheduled', 'completed', '2026-02-24 05:00:00+00', '2026-02-24 05:01:12+00', NULL, 200);
|
||||
INSERT INTO public.scrape_jobs VALUES ('cae7b256-fad8-441b-b76c-2b0fae4a38c1', 'vrbo', 'performance', 'scheduled', 'completed', '2026-02-20 05:00:00+00', '2026-02-20 05:01:58+00', NULL, 37);
|
||||
|
||||
|
||||
--
|
||||
-- Name: __drizzle_migrations_id_seq; Type: SEQUENCE SET; Schema: drizzle; Owner: str_manager
|
||||
--
|
||||
|
||||
SELECT pg_catalog.setval('drizzle.__drizzle_migrations_id_seq', 1, true);
|
||||
|
||||
|
||||
--
|
||||
-- PostgreSQL database dump complete
|
||||
--
|
||||
|
||||
\unrestrict MeN1ws58DquMlfn6S1mGywDt5fuo6rhsE6g75LgmXhiU6DV4nSIsGAX8gVJ0f2n
|
||||
|
||||
14
apps/api/src/db/index.ts
Normal file
14
apps/api/src/db/index.ts
Normal file
@@ -0,0 +1,14 @@
|
||||
import dotenv from 'dotenv';
|
||||
import { fileURLToPath } from 'url';
|
||||
import { dirname, resolve } from 'path';
|
||||
|
||||
const __dirname = dirname(fileURLToPath(import.meta.url));
|
||||
dotenv.config({ path: resolve(__dirname, '../../../../.env') });
|
||||
import { drizzle } from 'drizzle-orm/postgres-js';
|
||||
import postgres from 'postgres';
|
||||
import * as schema from './schema.js';
|
||||
|
||||
const connectionString = process.env.DATABASE_URL!;
|
||||
const sql = postgres(connectionString);
|
||||
export const db = drizzle(sql, { schema });
|
||||
export { sql };
|
||||
96
apps/api/src/db/migrations/0000_modern_screwball.sql
Normal file
96
apps/api/src/db/migrations/0000_modern_screwball.sql
Normal file
@@ -0,0 +1,96 @@
|
||||
CREATE TABLE "daily_prices" (
|
||||
"id" uuid PRIMARY KEY DEFAULT gen_random_uuid() NOT NULL,
|
||||
"platform_id" varchar NOT NULL,
|
||||
"date" date NOT NULL,
|
||||
"price" numeric NOT NULL,
|
||||
"is_available" boolean DEFAULT true NOT NULL,
|
||||
"min_stay_nights" integer DEFAULT 1 NOT NULL,
|
||||
"synced_at" timestamp with time zone DEFAULT now() NOT NULL,
|
||||
CONSTRAINT "daily_prices_platform_date" UNIQUE("platform_id","date")
|
||||
);
|
||||
--> statement-breakpoint
|
||||
CREATE TABLE "experiments" (
|
||||
"id" uuid PRIMARY KEY DEFAULT gen_random_uuid() NOT NULL,
|
||||
"name" varchar NOT NULL,
|
||||
"hypothesis" text,
|
||||
"start_date" date NOT NULL,
|
||||
"end_date" date,
|
||||
"status" varchar DEFAULT 'active' NOT NULL,
|
||||
"created_at" timestamp with time zone DEFAULT now() NOT NULL,
|
||||
"conclusion" text
|
||||
);
|
||||
--> statement-breakpoint
|
||||
CREATE TABLE "performance_snapshots" (
|
||||
"id" uuid PRIMARY KEY DEFAULT gen_random_uuid() NOT NULL,
|
||||
"platform_id" varchar NOT NULL,
|
||||
"captured_at" timestamp with time zone DEFAULT now() NOT NULL,
|
||||
"period_label" varchar NOT NULL,
|
||||
"views_search" integer,
|
||||
"views_listing" integer,
|
||||
"conversion_rate" numeric,
|
||||
"bookings_count" integer,
|
||||
"occupancy_rate" numeric,
|
||||
"avg_daily_rate" numeric,
|
||||
"revenue_total" numeric,
|
||||
"raw_json" jsonb
|
||||
);
|
||||
--> statement-breakpoint
|
||||
CREATE TABLE "platforms" (
|
||||
"id" varchar PRIMARY KEY NOT NULL,
|
||||
"display_name" varchar NOT NULL,
|
||||
"credentials_encrypted" text,
|
||||
"session_data_encrypted" text,
|
||||
"last_scrape_at" timestamp with time zone,
|
||||
"is_active" boolean DEFAULT true NOT NULL
|
||||
);
|
||||
--> statement-breakpoint
|
||||
CREATE TABLE "price_changes" (
|
||||
"id" uuid PRIMARY KEY DEFAULT gen_random_uuid() NOT NULL,
|
||||
"platform_id" varchar NOT NULL,
|
||||
"date" date NOT NULL,
|
||||
"price_before" numeric NOT NULL,
|
||||
"price_after" numeric NOT NULL,
|
||||
"changed_at" timestamp with time zone DEFAULT now() NOT NULL,
|
||||
"changed_by" varchar,
|
||||
"note" text,
|
||||
"experiment_id" uuid
|
||||
);
|
||||
--> statement-breakpoint
|
||||
CREATE TABLE "reservations" (
|
||||
"id" uuid PRIMARY KEY DEFAULT gen_random_uuid() NOT NULL,
|
||||
"platform_id" varchar NOT NULL,
|
||||
"platform_reservation_id" varchar NOT NULL,
|
||||
"guest_name" varchar NOT NULL,
|
||||
"check_in" date NOT NULL,
|
||||
"check_out" date NOT NULL,
|
||||
"nights" integer NOT NULL,
|
||||
"guests_count" integer,
|
||||
"nightly_rate" numeric NOT NULL,
|
||||
"cleaning_fee" numeric,
|
||||
"platform_fee" numeric,
|
||||
"total_payout" numeric NOT NULL,
|
||||
"status" varchar DEFAULT 'confirmed' NOT NULL,
|
||||
"booked_at" timestamp with time zone,
|
||||
"synced_at" timestamp with time zone DEFAULT now() NOT NULL,
|
||||
"raw_json" jsonb,
|
||||
CONSTRAINT "reservations_platform_res_id" UNIQUE("platform_id","platform_reservation_id")
|
||||
);
|
||||
--> statement-breakpoint
|
||||
CREATE TABLE "scrape_jobs" (
|
||||
"id" uuid PRIMARY KEY DEFAULT gen_random_uuid() NOT NULL,
|
||||
"platform_id" varchar NOT NULL,
|
||||
"job_type" varchar NOT NULL,
|
||||
"triggered_by" varchar NOT NULL,
|
||||
"status" varchar DEFAULT 'pending' NOT NULL,
|
||||
"started_at" timestamp with time zone,
|
||||
"completed_at" timestamp with time zone,
|
||||
"error_message" text,
|
||||
"rows_collected" integer
|
||||
);
|
||||
--> statement-breakpoint
|
||||
ALTER TABLE "daily_prices" ADD CONSTRAINT "daily_prices_platform_id_platforms_id_fk" FOREIGN KEY ("platform_id") REFERENCES "public"."platforms"("id") ON DELETE no action ON UPDATE no action;--> statement-breakpoint
|
||||
ALTER TABLE "performance_snapshots" ADD CONSTRAINT "performance_snapshots_platform_id_platforms_id_fk" FOREIGN KEY ("platform_id") REFERENCES "public"."platforms"("id") ON DELETE no action ON UPDATE no action;--> statement-breakpoint
|
||||
ALTER TABLE "price_changes" ADD CONSTRAINT "price_changes_platform_id_platforms_id_fk" FOREIGN KEY ("platform_id") REFERENCES "public"."platforms"("id") ON DELETE no action ON UPDATE no action;--> statement-breakpoint
|
||||
ALTER TABLE "price_changes" ADD CONSTRAINT "price_changes_experiment_id_experiments_id_fk" FOREIGN KEY ("experiment_id") REFERENCES "public"."experiments"("id") ON DELETE no action ON UPDATE no action;--> statement-breakpoint
|
||||
ALTER TABLE "reservations" ADD CONSTRAINT "reservations_platform_id_platforms_id_fk" FOREIGN KEY ("platform_id") REFERENCES "public"."platforms"("id") ON DELETE no action ON UPDATE no action;--> statement-breakpoint
|
||||
ALTER TABLE "scrape_jobs" ADD CONSTRAINT "scrape_jobs_platform_id_platforms_id_fk" FOREIGN KEY ("platform_id") REFERENCES "public"."platforms"("id") ON DELETE no action ON UPDATE no action;
|
||||
630
apps/api/src/db/migrations/meta/0000_snapshot.json
Normal file
630
apps/api/src/db/migrations/meta/0000_snapshot.json
Normal file
@@ -0,0 +1,630 @@
|
||||
{
|
||||
"id": "1ae55d0b-2157-4fab-ac85-289ea14275fb",
|
||||
"prevId": "00000000-0000-0000-0000-000000000000",
|
||||
"version": "7",
|
||||
"dialect": "postgresql",
|
||||
"tables": {
|
||||
"public.daily_prices": {
|
||||
"name": "daily_prices",
|
||||
"schema": "",
|
||||
"columns": {
|
||||
"id": {
|
||||
"name": "id",
|
||||
"type": "uuid",
|
||||
"primaryKey": true,
|
||||
"notNull": true,
|
||||
"default": "gen_random_uuid()"
|
||||
},
|
||||
"platform_id": {
|
||||
"name": "platform_id",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"date": {
|
||||
"name": "date",
|
||||
"type": "date",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"price": {
|
||||
"name": "price",
|
||||
"type": "numeric",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"is_available": {
|
||||
"name": "is_available",
|
||||
"type": "boolean",
|
||||
"primaryKey": false,
|
||||
"notNull": true,
|
||||
"default": true
|
||||
},
|
||||
"min_stay_nights": {
|
||||
"name": "min_stay_nights",
|
||||
"type": "integer",
|
||||
"primaryKey": false,
|
||||
"notNull": true,
|
||||
"default": 1
|
||||
},
|
||||
"synced_at": {
|
||||
"name": "synced_at",
|
||||
"type": "timestamp with time zone",
|
||||
"primaryKey": false,
|
||||
"notNull": true,
|
||||
"default": "now()"
|
||||
}
|
||||
},
|
||||
"indexes": {},
|
||||
"foreignKeys": {
|
||||
"daily_prices_platform_id_platforms_id_fk": {
|
||||
"name": "daily_prices_platform_id_platforms_id_fk",
|
||||
"tableFrom": "daily_prices",
|
||||
"tableTo": "platforms",
|
||||
"columnsFrom": [
|
||||
"platform_id"
|
||||
],
|
||||
"columnsTo": [
|
||||
"id"
|
||||
],
|
||||
"onDelete": "no action",
|
||||
"onUpdate": "no action"
|
||||
}
|
||||
},
|
||||
"compositePrimaryKeys": {},
|
||||
"uniqueConstraints": {
|
||||
"daily_prices_platform_date": {
|
||||
"name": "daily_prices_platform_date",
|
||||
"nullsNotDistinct": false,
|
||||
"columns": [
|
||||
"platform_id",
|
||||
"date"
|
||||
]
|
||||
}
|
||||
},
|
||||
"policies": {},
|
||||
"checkConstraints": {},
|
||||
"isRLSEnabled": false
|
||||
},
|
||||
"public.experiments": {
|
||||
"name": "experiments",
|
||||
"schema": "",
|
||||
"columns": {
|
||||
"id": {
|
||||
"name": "id",
|
||||
"type": "uuid",
|
||||
"primaryKey": true,
|
||||
"notNull": true,
|
||||
"default": "gen_random_uuid()"
|
||||
},
|
||||
"name": {
|
||||
"name": "name",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"hypothesis": {
|
||||
"name": "hypothesis",
|
||||
"type": "text",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"start_date": {
|
||||
"name": "start_date",
|
||||
"type": "date",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"end_date": {
|
||||
"name": "end_date",
|
||||
"type": "date",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"status": {
|
||||
"name": "status",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true,
|
||||
"default": "'active'"
|
||||
},
|
||||
"created_at": {
|
||||
"name": "created_at",
|
||||
"type": "timestamp with time zone",
|
||||
"primaryKey": false,
|
||||
"notNull": true,
|
||||
"default": "now()"
|
||||
},
|
||||
"conclusion": {
|
||||
"name": "conclusion",
|
||||
"type": "text",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
}
|
||||
},
|
||||
"indexes": {},
|
||||
"foreignKeys": {},
|
||||
"compositePrimaryKeys": {},
|
||||
"uniqueConstraints": {},
|
||||
"policies": {},
|
||||
"checkConstraints": {},
|
||||
"isRLSEnabled": false
|
||||
},
|
||||
"public.performance_snapshots": {
|
||||
"name": "performance_snapshots",
|
||||
"schema": "",
|
||||
"columns": {
|
||||
"id": {
|
||||
"name": "id",
|
||||
"type": "uuid",
|
||||
"primaryKey": true,
|
||||
"notNull": true,
|
||||
"default": "gen_random_uuid()"
|
||||
},
|
||||
"platform_id": {
|
||||
"name": "platform_id",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"captured_at": {
|
||||
"name": "captured_at",
|
||||
"type": "timestamp with time zone",
|
||||
"primaryKey": false,
|
||||
"notNull": true,
|
||||
"default": "now()"
|
||||
},
|
||||
"period_label": {
|
||||
"name": "period_label",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"views_search": {
|
||||
"name": "views_search",
|
||||
"type": "integer",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"views_listing": {
|
||||
"name": "views_listing",
|
||||
"type": "integer",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"conversion_rate": {
|
||||
"name": "conversion_rate",
|
||||
"type": "numeric",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"bookings_count": {
|
||||
"name": "bookings_count",
|
||||
"type": "integer",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"occupancy_rate": {
|
||||
"name": "occupancy_rate",
|
||||
"type": "numeric",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"avg_daily_rate": {
|
||||
"name": "avg_daily_rate",
|
||||
"type": "numeric",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"revenue_total": {
|
||||
"name": "revenue_total",
|
||||
"type": "numeric",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"raw_json": {
|
||||
"name": "raw_json",
|
||||
"type": "jsonb",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
}
|
||||
},
|
||||
"indexes": {},
|
||||
"foreignKeys": {
|
||||
"performance_snapshots_platform_id_platforms_id_fk": {
|
||||
"name": "performance_snapshots_platform_id_platforms_id_fk",
|
||||
"tableFrom": "performance_snapshots",
|
||||
"tableTo": "platforms",
|
||||
"columnsFrom": [
|
||||
"platform_id"
|
||||
],
|
||||
"columnsTo": [
|
||||
"id"
|
||||
],
|
||||
"onDelete": "no action",
|
||||
"onUpdate": "no action"
|
||||
}
|
||||
},
|
||||
"compositePrimaryKeys": {},
|
||||
"uniqueConstraints": {},
|
||||
"policies": {},
|
||||
"checkConstraints": {},
|
||||
"isRLSEnabled": false
|
||||
},
|
||||
"public.platforms": {
|
||||
"name": "platforms",
|
||||
"schema": "",
|
||||
"columns": {
|
||||
"id": {
|
||||
"name": "id",
|
||||
"type": "varchar",
|
||||
"primaryKey": true,
|
||||
"notNull": true
|
||||
},
|
||||
"display_name": {
|
||||
"name": "display_name",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"credentials_encrypted": {
|
||||
"name": "credentials_encrypted",
|
||||
"type": "text",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"session_data_encrypted": {
|
||||
"name": "session_data_encrypted",
|
||||
"type": "text",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"last_scrape_at": {
|
||||
"name": "last_scrape_at",
|
||||
"type": "timestamp with time zone",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"is_active": {
|
||||
"name": "is_active",
|
||||
"type": "boolean",
|
||||
"primaryKey": false,
|
||||
"notNull": true,
|
||||
"default": true
|
||||
}
|
||||
},
|
||||
"indexes": {},
|
||||
"foreignKeys": {},
|
||||
"compositePrimaryKeys": {},
|
||||
"uniqueConstraints": {},
|
||||
"policies": {},
|
||||
"checkConstraints": {},
|
||||
"isRLSEnabled": false
|
||||
},
|
||||
"public.price_changes": {
|
||||
"name": "price_changes",
|
||||
"schema": "",
|
||||
"columns": {
|
||||
"id": {
|
||||
"name": "id",
|
||||
"type": "uuid",
|
||||
"primaryKey": true,
|
||||
"notNull": true,
|
||||
"default": "gen_random_uuid()"
|
||||
},
|
||||
"platform_id": {
|
||||
"name": "platform_id",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"date": {
|
||||
"name": "date",
|
||||
"type": "date",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"price_before": {
|
||||
"name": "price_before",
|
||||
"type": "numeric",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"price_after": {
|
||||
"name": "price_after",
|
||||
"type": "numeric",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"changed_at": {
|
||||
"name": "changed_at",
|
||||
"type": "timestamp with time zone",
|
||||
"primaryKey": false,
|
||||
"notNull": true,
|
||||
"default": "now()"
|
||||
},
|
||||
"changed_by": {
|
||||
"name": "changed_by",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"note": {
|
||||
"name": "note",
|
||||
"type": "text",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"experiment_id": {
|
||||
"name": "experiment_id",
|
||||
"type": "uuid",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
}
|
||||
},
|
||||
"indexes": {},
|
||||
"foreignKeys": {
|
||||
"price_changes_platform_id_platforms_id_fk": {
|
||||
"name": "price_changes_platform_id_platforms_id_fk",
|
||||
"tableFrom": "price_changes",
|
||||
"tableTo": "platforms",
|
||||
"columnsFrom": [
|
||||
"platform_id"
|
||||
],
|
||||
"columnsTo": [
|
||||
"id"
|
||||
],
|
||||
"onDelete": "no action",
|
||||
"onUpdate": "no action"
|
||||
},
|
||||
"price_changes_experiment_id_experiments_id_fk": {
|
||||
"name": "price_changes_experiment_id_experiments_id_fk",
|
||||
"tableFrom": "price_changes",
|
||||
"tableTo": "experiments",
|
||||
"columnsFrom": [
|
||||
"experiment_id"
|
||||
],
|
||||
"columnsTo": [
|
||||
"id"
|
||||
],
|
||||
"onDelete": "no action",
|
||||
"onUpdate": "no action"
|
||||
}
|
||||
},
|
||||
"compositePrimaryKeys": {},
|
||||
"uniqueConstraints": {},
|
||||
"policies": {},
|
||||
"checkConstraints": {},
|
||||
"isRLSEnabled": false
|
||||
},
|
||||
"public.reservations": {
|
||||
"name": "reservations",
|
||||
"schema": "",
|
||||
"columns": {
|
||||
"id": {
|
||||
"name": "id",
|
||||
"type": "uuid",
|
||||
"primaryKey": true,
|
||||
"notNull": true,
|
||||
"default": "gen_random_uuid()"
|
||||
},
|
||||
"platform_id": {
|
||||
"name": "platform_id",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"platform_reservation_id": {
|
||||
"name": "platform_reservation_id",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"guest_name": {
|
||||
"name": "guest_name",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"check_in": {
|
||||
"name": "check_in",
|
||||
"type": "date",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"check_out": {
|
||||
"name": "check_out",
|
||||
"type": "date",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"nights": {
|
||||
"name": "nights",
|
||||
"type": "integer",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"guests_count": {
|
||||
"name": "guests_count",
|
||||
"type": "integer",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"nightly_rate": {
|
||||
"name": "nightly_rate",
|
||||
"type": "numeric",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"cleaning_fee": {
|
||||
"name": "cleaning_fee",
|
||||
"type": "numeric",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"platform_fee": {
|
||||
"name": "platform_fee",
|
||||
"type": "numeric",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"total_payout": {
|
||||
"name": "total_payout",
|
||||
"type": "numeric",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"status": {
|
||||
"name": "status",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true,
|
||||
"default": "'confirmed'"
|
||||
},
|
||||
"booked_at": {
|
||||
"name": "booked_at",
|
||||
"type": "timestamp with time zone",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"synced_at": {
|
||||
"name": "synced_at",
|
||||
"type": "timestamp with time zone",
|
||||
"primaryKey": false,
|
||||
"notNull": true,
|
||||
"default": "now()"
|
||||
},
|
||||
"raw_json": {
|
||||
"name": "raw_json",
|
||||
"type": "jsonb",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
}
|
||||
},
|
||||
"indexes": {},
|
||||
"foreignKeys": {
|
||||
"reservations_platform_id_platforms_id_fk": {
|
||||
"name": "reservations_platform_id_platforms_id_fk",
|
||||
"tableFrom": "reservations",
|
||||
"tableTo": "platforms",
|
||||
"columnsFrom": [
|
||||
"platform_id"
|
||||
],
|
||||
"columnsTo": [
|
||||
"id"
|
||||
],
|
||||
"onDelete": "no action",
|
||||
"onUpdate": "no action"
|
||||
}
|
||||
},
|
||||
"compositePrimaryKeys": {},
|
||||
"uniqueConstraints": {
|
||||
"reservations_platform_res_id": {
|
||||
"name": "reservations_platform_res_id",
|
||||
"nullsNotDistinct": false,
|
||||
"columns": [
|
||||
"platform_id",
|
||||
"platform_reservation_id"
|
||||
]
|
||||
}
|
||||
},
|
||||
"policies": {},
|
||||
"checkConstraints": {},
|
||||
"isRLSEnabled": false
|
||||
},
|
||||
"public.scrape_jobs": {
|
||||
"name": "scrape_jobs",
|
||||
"schema": "",
|
||||
"columns": {
|
||||
"id": {
|
||||
"name": "id",
|
||||
"type": "uuid",
|
||||
"primaryKey": true,
|
||||
"notNull": true,
|
||||
"default": "gen_random_uuid()"
|
||||
},
|
||||
"platform_id": {
|
||||
"name": "platform_id",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"job_type": {
|
||||
"name": "job_type",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"triggered_by": {
|
||||
"name": "triggered_by",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true
|
||||
},
|
||||
"status": {
|
||||
"name": "status",
|
||||
"type": "varchar",
|
||||
"primaryKey": false,
|
||||
"notNull": true,
|
||||
"default": "'pending'"
|
||||
},
|
||||
"started_at": {
|
||||
"name": "started_at",
|
||||
"type": "timestamp with time zone",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"completed_at": {
|
||||
"name": "completed_at",
|
||||
"type": "timestamp with time zone",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"error_message": {
|
||||
"name": "error_message",
|
||||
"type": "text",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
},
|
||||
"rows_collected": {
|
||||
"name": "rows_collected",
|
||||
"type": "integer",
|
||||
"primaryKey": false,
|
||||
"notNull": false
|
||||
}
|
||||
},
|
||||
"indexes": {},
|
||||
"foreignKeys": {
|
||||
"scrape_jobs_platform_id_platforms_id_fk": {
|
||||
"name": "scrape_jobs_platform_id_platforms_id_fk",
|
||||
"tableFrom": "scrape_jobs",
|
||||
"tableTo": "platforms",
|
||||
"columnsFrom": [
|
||||
"platform_id"
|
||||
],
|
||||
"columnsTo": [
|
||||
"id"
|
||||
],
|
||||
"onDelete": "no action",
|
||||
"onUpdate": "no action"
|
||||
}
|
||||
},
|
||||
"compositePrimaryKeys": {},
|
||||
"uniqueConstraints": {},
|
||||
"policies": {},
|
||||
"checkConstraints": {},
|
||||
"isRLSEnabled": false
|
||||
}
|
||||
},
|
||||
"enums": {},
|
||||
"schemas": {},
|
||||
"sequences": {},
|
||||
"roles": {},
|
||||
"policies": {},
|
||||
"views": {},
|
||||
"_meta": {
|
||||
"columns": {},
|
||||
"schemas": {},
|
||||
"tables": {}
|
||||
}
|
||||
}
|
||||
13
apps/api/src/db/migrations/meta/_journal.json
Normal file
13
apps/api/src/db/migrations/meta/_journal.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"version": "7",
|
||||
"dialect": "postgresql",
|
||||
"entries": [
|
||||
{
|
||||
"idx": 0,
|
||||
"version": "7",
|
||||
"when": 1774223467634,
|
||||
"tag": "0000_modern_screwball",
|
||||
"breakpoints": true
|
||||
}
|
||||
]
|
||||
}
|
||||
195
apps/api/src/db/schema.ts
Normal file
195
apps/api/src/db/schema.ts
Normal file
@@ -0,0 +1,195 @@
|
||||
import { relations } from 'drizzle-orm';
|
||||
import {
|
||||
boolean,
|
||||
date,
|
||||
integer,
|
||||
jsonb,
|
||||
numeric,
|
||||
pgTable,
|
||||
text,
|
||||
timestamp,
|
||||
unique,
|
||||
uuid,
|
||||
varchar,
|
||||
} from 'drizzle-orm/pg-core';
|
||||
|
||||
const timestamptz = (name: string) => timestamp(name, { withTimezone: true, mode: 'string' });
|
||||
|
||||
// ── Platforms ────────────────────────────────────────────────────────────────
|
||||
|
||||
export const platforms = pgTable('platforms', {
|
||||
id: varchar('id').primaryKey(),
|
||||
displayName: varchar('display_name').notNull(),
|
||||
credentialsEncrypted: text('credentials_encrypted'),
|
||||
sessionDataEncrypted: text('session_data_encrypted'),
|
||||
lastScrapeAt: timestamptz('last_scrape_at'),
|
||||
isActive: boolean('is_active').default(true).notNull(),
|
||||
});
|
||||
|
||||
export const platformsRelations = relations(platforms, ({ many }) => ({
|
||||
performanceSnapshots: many(performanceSnapshots),
|
||||
dailyPrices: many(dailyPrices),
|
||||
priceChanges: many(priceChanges),
|
||||
reservations: many(reservations),
|
||||
scrapeJobs: many(scrapeJobs),
|
||||
}));
|
||||
|
||||
// ── Performance Snapshots ───────────────────────────────────────────────────
|
||||
|
||||
export const performanceSnapshots = pgTable('performance_snapshots', {
|
||||
id: uuid('id').defaultRandom().primaryKey(),
|
||||
platformId: varchar('platform_id')
|
||||
.notNull()
|
||||
.references(() => platforms.id),
|
||||
capturedAt: timestamptz('captured_at').defaultNow().notNull(),
|
||||
periodLabel: varchar('period_label').notNull(),
|
||||
viewsSearch: integer('views_search'),
|
||||
viewsListing: integer('views_listing'),
|
||||
conversionRate: numeric('conversion_rate'),
|
||||
bookingsCount: integer('bookings_count'),
|
||||
occupancyRate: numeric('occupancy_rate'),
|
||||
avgDailyRate: numeric('avg_daily_rate'),
|
||||
revenueTotal: numeric('revenue_total'),
|
||||
rawJson: jsonb('raw_json'),
|
||||
});
|
||||
|
||||
export const performanceSnapshotsRelations = relations(
|
||||
performanceSnapshots,
|
||||
({ one }) => ({
|
||||
platform: one(platforms, {
|
||||
fields: [performanceSnapshots.platformId],
|
||||
references: [platforms.id],
|
||||
}),
|
||||
}),
|
||||
);
|
||||
|
||||
// ── Daily Prices ────────────────────────────────────────────────────────────
|
||||
|
||||
export const dailyPrices = pgTable(
|
||||
'daily_prices',
|
||||
{
|
||||
id: uuid('id').defaultRandom().primaryKey(),
|
||||
platformId: varchar('platform_id')
|
||||
.notNull()
|
||||
.references(() => platforms.id),
|
||||
date: date('date').notNull(),
|
||||
price: numeric('price').notNull(),
|
||||
isAvailable: boolean('is_available').default(true).notNull(),
|
||||
minStayNights: integer('min_stay_nights').default(1).notNull(),
|
||||
syncedAt: timestamptz('synced_at').defaultNow().notNull(),
|
||||
},
|
||||
(t) => [unique('daily_prices_platform_date').on(t.platformId, t.date)],
|
||||
);
|
||||
|
||||
export const dailyPricesRelations = relations(dailyPrices, ({ one }) => ({
|
||||
platform: one(platforms, {
|
||||
fields: [dailyPrices.platformId],
|
||||
references: [platforms.id],
|
||||
}),
|
||||
}));
|
||||
|
||||
// ── Experiments ─────────────────────────────────────────────────────────────
|
||||
|
||||
export const experiments = pgTable('experiments', {
|
||||
id: uuid('id').defaultRandom().primaryKey(),
|
||||
name: varchar('name').notNull(),
|
||||
hypothesis: text('hypothesis'),
|
||||
startDate: date('start_date').notNull(),
|
||||
endDate: date('end_date'),
|
||||
status: varchar('status').default('active').notNull(),
|
||||
createdAt: timestamptz('created_at').defaultNow().notNull(),
|
||||
conclusion: text('conclusion'),
|
||||
});
|
||||
|
||||
export const experimentsRelations = relations(experiments, ({ many }) => ({
|
||||
priceChanges: many(priceChanges),
|
||||
}));
|
||||
|
||||
// ── Price Changes ───────────────────────────────────────────────────────────
|
||||
|
||||
export const priceChanges = pgTable('price_changes', {
|
||||
id: uuid('id').defaultRandom().primaryKey(),
|
||||
platformId: varchar('platform_id')
|
||||
.notNull()
|
||||
.references(() => platforms.id),
|
||||
date: date('date').notNull(),
|
||||
priceBefore: numeric('price_before').notNull(),
|
||||
priceAfter: numeric('price_after').notNull(),
|
||||
changedAt: timestamptz('changed_at').defaultNow().notNull(),
|
||||
changedBy: varchar('changed_by'),
|
||||
note: text('note'),
|
||||
experimentId: uuid('experiment_id').references(() => experiments.id),
|
||||
});
|
||||
|
||||
export const priceChangesRelations = relations(priceChanges, ({ one }) => ({
|
||||
platform: one(platforms, {
|
||||
fields: [priceChanges.platformId],
|
||||
references: [platforms.id],
|
||||
}),
|
||||
experiment: one(experiments, {
|
||||
fields: [priceChanges.experimentId],
|
||||
references: [experiments.id],
|
||||
}),
|
||||
}));
|
||||
|
||||
// ── Reservations ────────────────────────────────────────────────────────────
|
||||
|
||||
export const reservations = pgTable(
|
||||
'reservations',
|
||||
{
|
||||
id: uuid('id').defaultRandom().primaryKey(),
|
||||
platformId: varchar('platform_id')
|
||||
.notNull()
|
||||
.references(() => platforms.id),
|
||||
platformReservationId: varchar('platform_reservation_id').notNull(),
|
||||
guestName: varchar('guest_name').notNull(),
|
||||
checkIn: date('check_in').notNull(),
|
||||
checkOut: date('check_out').notNull(),
|
||||
nights: integer('nights').notNull(),
|
||||
guestsCount: integer('guests_count'),
|
||||
nightlyRate: numeric('nightly_rate').notNull(),
|
||||
cleaningFee: numeric('cleaning_fee'),
|
||||
platformFee: numeric('platform_fee'),
|
||||
totalPayout: numeric('total_payout').notNull(),
|
||||
status: varchar('status').default('confirmed').notNull(),
|
||||
bookedAt: timestamptz('booked_at'),
|
||||
syncedAt: timestamptz('synced_at').defaultNow().notNull(),
|
||||
rawJson: jsonb('raw_json'),
|
||||
},
|
||||
(t) => [
|
||||
unique('reservations_platform_res_id').on(
|
||||
t.platformId,
|
||||
t.platformReservationId,
|
||||
),
|
||||
],
|
||||
);
|
||||
|
||||
export const reservationsRelations = relations(reservations, ({ one }) => ({
|
||||
platform: one(platforms, {
|
||||
fields: [reservations.platformId],
|
||||
references: [platforms.id],
|
||||
}),
|
||||
}));
|
||||
|
||||
// ── Scrape Jobs ─────────────────────────────────────────────────────────────
|
||||
|
||||
export const scrapeJobs = pgTable('scrape_jobs', {
|
||||
id: uuid('id').defaultRandom().primaryKey(),
|
||||
platformId: varchar('platform_id')
|
||||
.notNull()
|
||||
.references(() => platforms.id),
|
||||
jobType: varchar('job_type').notNull(),
|
||||
triggeredBy: varchar('triggered_by').notNull(),
|
||||
status: varchar('status').default('pending').notNull(),
|
||||
startedAt: timestamptz('started_at'),
|
||||
completedAt: timestamptz('completed_at'),
|
||||
errorMessage: text('error_message'),
|
||||
rowsCollected: integer('rows_collected'),
|
||||
});
|
||||
|
||||
export const scrapeJobsRelations = relations(scrapeJobs, ({ one }) => ({
|
||||
platform: one(platforms, {
|
||||
fields: [scrapeJobs.platformId],
|
||||
references: [platforms.id],
|
||||
}),
|
||||
}));
|
||||
44
apps/api/src/db/seed-clean.ts
Normal file
44
apps/api/src/db/seed-clean.ts
Normal file
@@ -0,0 +1,44 @@
|
||||
import dotenv from 'dotenv';
|
||||
import { fileURLToPath } from 'url';
|
||||
import { dirname, resolve } from 'path';
|
||||
|
||||
const __dirname = dirname(fileURLToPath(import.meta.url));
|
||||
dotenv.config({ path: resolve(__dirname, '../../../../.env') });
|
||||
import { db, sql } from './index.js';
|
||||
import {
|
||||
platforms,
|
||||
performanceSnapshots,
|
||||
dailyPrices,
|
||||
priceChanges,
|
||||
experiments,
|
||||
reservations,
|
||||
scrapeJobs,
|
||||
} from './schema.js';
|
||||
|
||||
async function seedClean() {
|
||||
console.log('Clearing all existing data...');
|
||||
|
||||
await db.delete(priceChanges);
|
||||
await db.delete(scrapeJobs);
|
||||
await db.delete(reservations);
|
||||
await db.delete(dailyPrices);
|
||||
await db.delete(performanceSnapshots);
|
||||
await db.delete(experiments);
|
||||
await db.delete(platforms);
|
||||
|
||||
console.log('Inserting platform entries...');
|
||||
|
||||
await db.insert(platforms).values([
|
||||
{ id: 'airbnb', displayName: 'Airbnb' },
|
||||
{ id: 'vrbo', displayName: 'VRBO' },
|
||||
]);
|
||||
|
||||
console.log('Clean seed complete. Database ready for real data.');
|
||||
}
|
||||
|
||||
seedClean()
|
||||
.then(() => process.exit(0))
|
||||
.catch((err) => {
|
||||
console.error('Clean seed failed:', err);
|
||||
process.exit(1);
|
||||
});
|
||||
340
apps/api/src/db/seed-demo.ts
Normal file
340
apps/api/src/db/seed-demo.ts
Normal file
@@ -0,0 +1,340 @@
|
||||
import dotenv from 'dotenv';
|
||||
import { fileURLToPath } from 'url';
|
||||
import { dirname, resolve } from 'path';
|
||||
|
||||
const __dirname = dirname(fileURLToPath(import.meta.url));
|
||||
dotenv.config({ path: resolve(__dirname, '../../../../.env') });
|
||||
import { db, sql } from './index.js';
|
||||
import {
|
||||
platforms,
|
||||
performanceSnapshots,
|
||||
dailyPrices,
|
||||
priceChanges,
|
||||
experiments,
|
||||
reservations,
|
||||
scrapeJobs,
|
||||
} from './schema.js';
|
||||
|
||||
// ── Helpers ─────────────────────────────────────────────────────────────────
|
||||
|
||||
function rand(min: number, max: number): number {
|
||||
return Math.random() * (max - min) + min;
|
||||
}
|
||||
|
||||
function randInt(min: number, max: number): number {
|
||||
return Math.floor(rand(min, max + 1));
|
||||
}
|
||||
|
||||
function roundTo(n: number, decimals: number): string {
|
||||
return n.toFixed(decimals);
|
||||
}
|
||||
|
||||
function daysAgo(n: number): Date {
|
||||
const d = new Date();
|
||||
d.setDate(d.getDate() - n);
|
||||
d.setHours(0, 0, 0, 0);
|
||||
return d;
|
||||
}
|
||||
|
||||
function formatDate(d: Date): string {
|
||||
return d.toISOString().split('T')[0];
|
||||
}
|
||||
|
||||
function isWeekend(d: Date): boolean {
|
||||
const day = d.getDay();
|
||||
return day === 0 || day === 5 || day === 6; // Fri, Sat, Sun
|
||||
}
|
||||
|
||||
const GUEST_NAMES = [
|
||||
'Sarah Johnson',
|
||||
'Michael Chen',
|
||||
'Emily Rodriguez',
|
||||
'James Wilson',
|
||||
'Amanda Foster',
|
||||
'David Kim',
|
||||
'Jessica Taylor',
|
||||
'Robert Martinez',
|
||||
'Lisa Anderson',
|
||||
'Chris Thompson',
|
||||
'Rachel Lee',
|
||||
'Daniel Brown',
|
||||
'Maria Garcia',
|
||||
'Kevin Wright',
|
||||
'Stephanie Davis',
|
||||
'Andrew Moore',
|
||||
'Nicole Clark',
|
||||
'Brandon Hall',
|
||||
];
|
||||
|
||||
// ── Seed Logic ──────────────────────────────────────────────────────────────
|
||||
|
||||
async function seed() {
|
||||
console.log('Clearing existing data...');
|
||||
|
||||
// Delete in FK-safe order
|
||||
await db.delete(priceChanges);
|
||||
await db.delete(scrapeJobs);
|
||||
await db.delete(reservations);
|
||||
await db.delete(dailyPrices);
|
||||
await db.delete(performanceSnapshots);
|
||||
await db.delete(experiments);
|
||||
await db.delete(platforms);
|
||||
|
||||
console.log('Inserting platforms...');
|
||||
|
||||
await db.insert(platforms).values([
|
||||
{ id: 'airbnb', displayName: 'Airbnb' },
|
||||
{ id: 'vrbo', displayName: 'VRBO' },
|
||||
{ id: 'mock', displayName: 'Mock (Dev)' },
|
||||
]);
|
||||
|
||||
// ── Experiments ───────────────────────────────────────────────────────────
|
||||
|
||||
console.log('Inserting experiments...');
|
||||
|
||||
const experimentRows = [
|
||||
{
|
||||
name: 'Weekend Premium Pricing',
|
||||
hypothesis:
|
||||
'Increasing weekend rates by 15% will maintain occupancy while boosting revenue.',
|
||||
startDate: formatDate(daysAgo(60)),
|
||||
endDate: formatDate(daysAgo(30)),
|
||||
status: 'completed',
|
||||
conclusion:
|
||||
'Weekend premium of 15% maintained 92% of baseline bookings while increasing weekend revenue by 11%.',
|
||||
},
|
||||
{
|
||||
name: 'Minimum Stay Reduction',
|
||||
hypothesis:
|
||||
'Reducing minimum stay from 3 nights to 2 nights on weekdays will fill gap nights and increase occupancy.',
|
||||
startDate: formatDate(daysAgo(30)),
|
||||
endDate: formatDate(daysAgo(7)),
|
||||
status: 'completed',
|
||||
conclusion:
|
||||
'Occupancy rose 8% during the test period. Gap nights filled at an acceptable rate. Recommend keeping 2-night min on weekdays.',
|
||||
},
|
||||
{
|
||||
name: 'Dynamic Last-Minute Discount',
|
||||
hypothesis:
|
||||
'Offering a 10% discount for bookings within 3 days of check-in will reduce vacancy on otherwise-empty nights.',
|
||||
startDate: formatDate(daysAgo(14)),
|
||||
status: 'active',
|
||||
},
|
||||
];
|
||||
|
||||
const insertedExperiments = await db
|
||||
.insert(experiments)
|
||||
.values(experimentRows)
|
||||
.returning({ id: experiments.id });
|
||||
|
||||
// ── Performance Snapshots ─────────────────────────────────────────────────
|
||||
|
||||
console.log('Inserting performance snapshots...');
|
||||
|
||||
const snapshotRows: (typeof performanceSnapshots.$inferInsert)[] = [];
|
||||
|
||||
for (const platformId of ['airbnb', 'vrbo']) {
|
||||
const platformMultiplier = platformId === 'airbnb' ? 1.0 : 0.6;
|
||||
|
||||
for (let daysBack = 89; daysBack >= 0; daysBack--) {
|
||||
const d = daysAgo(daysBack);
|
||||
// Slight upward trend: later days get a small boost
|
||||
const trendFactor = 1 + (90 - daysBack) * 0.001;
|
||||
|
||||
const viewsSearch = Math.round(
|
||||
randInt(500, 2000) * platformMultiplier * trendFactor,
|
||||
);
|
||||
const viewsListing = Math.round(
|
||||
randInt(100, 500) * platformMultiplier * trendFactor,
|
||||
);
|
||||
const occupancy = Math.min(
|
||||
rand(55, 85) * trendFactor,
|
||||
98,
|
||||
);
|
||||
const adr = rand(150, 250) * trendFactor;
|
||||
const bookingsCount = Math.round(
|
||||
randInt(2, 8) * platformMultiplier * (occupancy / 70),
|
||||
);
|
||||
const conversionRate = (bookingsCount / viewsListing) * 100;
|
||||
const revenue = adr * occupancy * 0.3; // rough approximation
|
||||
|
||||
snapshotRows.push({
|
||||
platformId,
|
||||
capturedAt: d.toISOString(),
|
||||
periodLabel: formatDate(d),
|
||||
viewsSearch,
|
||||
viewsListing,
|
||||
conversionRate: roundTo(conversionRate, 2),
|
||||
bookingsCount,
|
||||
occupancyRate: roundTo(occupancy, 1),
|
||||
avgDailyRate: roundTo(adr, 2),
|
||||
revenueTotal: roundTo(revenue, 2),
|
||||
rawJson: { source: 'seed', generated: true },
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Insert in batches
|
||||
for (let i = 0; i < snapshotRows.length; i += 50) {
|
||||
await db
|
||||
.insert(performanceSnapshots)
|
||||
.values(snapshotRows.slice(i, i + 50));
|
||||
}
|
||||
|
||||
// ── Daily Prices ──────────────────────────────────────────────────────────
|
||||
|
||||
console.log('Inserting daily prices...');
|
||||
|
||||
const priceRows: (typeof dailyPrices.$inferInsert)[] = [];
|
||||
|
||||
for (const platformId of ['airbnb', 'vrbo']) {
|
||||
for (let daysBack = 89; daysBack >= -30; daysBack--) {
|
||||
// Include 30 days into the future
|
||||
const d = daysAgo(daysBack);
|
||||
const trendFactor = 1 + (90 - daysBack) * 0.0005;
|
||||
|
||||
let basePrice = rand(150, 250) * trendFactor;
|
||||
if (isWeekend(d)) {
|
||||
basePrice *= rand(1.15, 1.35); // Weekend premium
|
||||
}
|
||||
|
||||
priceRows.push({
|
||||
platformId,
|
||||
date: formatDate(d),
|
||||
price: roundTo(basePrice, 2),
|
||||
isAvailable: Math.random() > 0.15, // ~85% availability
|
||||
minStayNights: isWeekend(d) ? 2 : 1,
|
||||
syncedAt: daysAgo(Math.max(daysBack, 0)).toISOString(),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
for (let i = 0; i < priceRows.length; i += 50) {
|
||||
await db.insert(dailyPrices).values(priceRows.slice(i, i + 50));
|
||||
}
|
||||
|
||||
// ── Reservations ──────────────────────────────────────────────────────────
|
||||
|
||||
console.log('Inserting reservations...');
|
||||
|
||||
const reservationRows: (typeof reservations.$inferInsert)[] = [];
|
||||
let reservationCounter = 1000;
|
||||
|
||||
for (let i = 0; i < 15; i++) {
|
||||
const platformId = i % 3 === 0 ? 'vrbo' : 'airbnb';
|
||||
const checkInDaysAgo = randInt(5, 85);
|
||||
const nights = randInt(2, 7);
|
||||
const checkIn = daysAgo(checkInDaysAgo);
|
||||
const checkOut = daysAgo(checkInDaysAgo - nights);
|
||||
const nightlyRate = rand(160, 280);
|
||||
const cleaningFee = randInt(75, 150);
|
||||
const platformFee = nightlyRate * nights * rand(0.03, 0.05);
|
||||
const totalPayout =
|
||||
nightlyRate * nights + cleaningFee - platformFee;
|
||||
|
||||
const bookedDaysBeforeCheckIn = randInt(3, 30);
|
||||
const bookedAt = daysAgo(checkInDaysAgo + bookedDaysBeforeCheckIn);
|
||||
|
||||
reservationCounter++;
|
||||
const isPast = checkInDaysAgo - nights > 0;
|
||||
|
||||
reservationRows.push({
|
||||
platformId,
|
||||
platformReservationId: `${platformId.toUpperCase()}-${reservationCounter}`,
|
||||
guestName: GUEST_NAMES[i % GUEST_NAMES.length],
|
||||
checkIn: formatDate(checkIn),
|
||||
checkOut: formatDate(checkOut),
|
||||
nights,
|
||||
guestsCount: randInt(1, 6),
|
||||
nightlyRate: roundTo(nightlyRate, 2),
|
||||
cleaningFee: cleaningFee.toString(),
|
||||
platformFee: roundTo(platformFee, 2),
|
||||
totalPayout: roundTo(totalPayout, 2),
|
||||
status: isPast ? 'completed' : 'confirmed',
|
||||
bookedAt: bookedAt.toISOString(),
|
||||
rawJson: { source: 'seed', generated: true },
|
||||
});
|
||||
}
|
||||
|
||||
await db.insert(reservations).values(reservationRows);
|
||||
|
||||
// ── Price Changes ─────────────────────────────────────────────────────────
|
||||
|
||||
console.log('Inserting price changes...');
|
||||
|
||||
const priceChangeRows: (typeof priceChanges.$inferInsert)[] = [];
|
||||
|
||||
// Link some price changes to the first experiment (weekend premium)
|
||||
for (let i = 0; i < 8; i++) {
|
||||
const d = daysAgo(randInt(30, 60));
|
||||
const before = rand(180, 230);
|
||||
const after = before * 1.15;
|
||||
|
||||
priceChangeRows.push({
|
||||
platformId: i % 2 === 0 ? 'airbnb' : 'vrbo',
|
||||
date: formatDate(d),
|
||||
priceBefore: roundTo(before, 2),
|
||||
priceAfter: roundTo(after, 2),
|
||||
changedBy: 'experiment',
|
||||
note: 'Weekend premium pricing experiment',
|
||||
experimentId: insertedExperiments[0].id,
|
||||
});
|
||||
}
|
||||
|
||||
// A few manual changes
|
||||
for (let i = 0; i < 4; i++) {
|
||||
const d = daysAgo(randInt(5, 25));
|
||||
const before = rand(170, 250);
|
||||
const after = before * rand(0.9, 1.1);
|
||||
|
||||
priceChangeRows.push({
|
||||
platformId: 'airbnb',
|
||||
date: formatDate(d),
|
||||
priceBefore: roundTo(before, 2),
|
||||
priceAfter: roundTo(after, 2),
|
||||
changedBy: 'manual',
|
||||
note: 'Manual price adjustment',
|
||||
});
|
||||
}
|
||||
|
||||
await db.insert(priceChanges).values(priceChangeRows);
|
||||
|
||||
// ── Scrape Jobs ───────────────────────────────────────────────────────────
|
||||
|
||||
console.log('Inserting scrape jobs...');
|
||||
|
||||
const scrapeRows: (typeof scrapeJobs.$inferInsert)[] = [];
|
||||
|
||||
for (const platformId of ['airbnb', 'vrbo']) {
|
||||
for (let i = 0; i < 5; i++) {
|
||||
const startedDaysAgo = randInt(0, 30);
|
||||
const started = daysAgo(startedDaysAgo);
|
||||
const completed = new Date(
|
||||
started.getTime() + randInt(5, 120) * 1000,
|
||||
);
|
||||
|
||||
scrapeRows.push({
|
||||
platformId,
|
||||
jobType: i % 2 === 0 ? 'performance' : 'calendar',
|
||||
triggeredBy: i === 0 ? 'manual' : 'scheduled',
|
||||
status: 'completed',
|
||||
startedAt: started.toISOString(),
|
||||
completedAt: completed.toISOString(),
|
||||
rowsCollected: randInt(10, 200),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
await db.insert(scrapeJobs).values(scrapeRows);
|
||||
|
||||
console.log('Seed complete.');
|
||||
}
|
||||
|
||||
seed()
|
||||
.then(() => {
|
||||
process.exit(0);
|
||||
})
|
||||
.catch((err) => {
|
||||
console.error('Seed failed:', err);
|
||||
process.exit(1);
|
||||
});
|
||||
340
apps/api/src/db/seed.ts
Normal file
340
apps/api/src/db/seed.ts
Normal file
@@ -0,0 +1,340 @@
|
||||
import dotenv from 'dotenv';
|
||||
import { fileURLToPath } from 'url';
|
||||
import { dirname, resolve } from 'path';
|
||||
|
||||
const __dirname = dirname(fileURLToPath(import.meta.url));
|
||||
dotenv.config({ path: resolve(__dirname, '../../../../.env') });
|
||||
import { db, sql } from './index.js';
|
||||
import {
|
||||
platforms,
|
||||
performanceSnapshots,
|
||||
dailyPrices,
|
||||
priceChanges,
|
||||
experiments,
|
||||
reservations,
|
||||
scrapeJobs,
|
||||
} from './schema.js';
|
||||
|
||||
// ── Helpers ─────────────────────────────────────────────────────────────────
|
||||
|
||||
function rand(min: number, max: number): number {
|
||||
return Math.random() * (max - min) + min;
|
||||
}
|
||||
|
||||
function randInt(min: number, max: number): number {
|
||||
return Math.floor(rand(min, max + 1));
|
||||
}
|
||||
|
||||
function roundTo(n: number, decimals: number): string {
|
||||
return n.toFixed(decimals);
|
||||
}
|
||||
|
||||
function daysAgo(n: number): Date {
|
||||
const d = new Date();
|
||||
d.setDate(d.getDate() - n);
|
||||
d.setHours(0, 0, 0, 0);
|
||||
return d;
|
||||
}
|
||||
|
||||
function formatDate(d: Date): string {
|
||||
return d.toISOString().split('T')[0];
|
||||
}
|
||||
|
||||
function isWeekend(d: Date): boolean {
|
||||
const day = d.getDay();
|
||||
return day === 0 || day === 5 || day === 6; // Fri, Sat, Sun
|
||||
}
|
||||
|
||||
const GUEST_NAMES = [
|
||||
'Sarah Johnson',
|
||||
'Michael Chen',
|
||||
'Emily Rodriguez',
|
||||
'James Wilson',
|
||||
'Amanda Foster',
|
||||
'David Kim',
|
||||
'Jessica Taylor',
|
||||
'Robert Martinez',
|
||||
'Lisa Anderson',
|
||||
'Chris Thompson',
|
||||
'Rachel Lee',
|
||||
'Daniel Brown',
|
||||
'Maria Garcia',
|
||||
'Kevin Wright',
|
||||
'Stephanie Davis',
|
||||
'Andrew Moore',
|
||||
'Nicole Clark',
|
||||
'Brandon Hall',
|
||||
];
|
||||
|
||||
// ── Seed Logic ──────────────────────────────────────────────────────────────
|
||||
|
||||
async function seed() {
|
||||
console.log('Clearing existing data...');
|
||||
|
||||
// Delete in FK-safe order
|
||||
await db.delete(priceChanges);
|
||||
await db.delete(scrapeJobs);
|
||||
await db.delete(reservations);
|
||||
await db.delete(dailyPrices);
|
||||
await db.delete(performanceSnapshots);
|
||||
await db.delete(experiments);
|
||||
await db.delete(platforms);
|
||||
|
||||
console.log('Inserting platforms...');
|
||||
|
||||
await db.insert(platforms).values([
|
||||
{ id: 'airbnb', displayName: 'Airbnb' },
|
||||
{ id: 'vrbo', displayName: 'VRBO' },
|
||||
{ id: 'mock', displayName: 'Mock (Dev)' },
|
||||
]);
|
||||
|
||||
// ── Experiments ───────────────────────────────────────────────────────────
|
||||
|
||||
console.log('Inserting experiments...');
|
||||
|
||||
const experimentRows = [
|
||||
{
|
||||
name: 'Weekend Premium Pricing',
|
||||
hypothesis:
|
||||
'Increasing weekend rates by 15% will maintain occupancy while boosting revenue.',
|
||||
startDate: formatDate(daysAgo(60)),
|
||||
endDate: formatDate(daysAgo(30)),
|
||||
status: 'completed',
|
||||
conclusion:
|
||||
'Weekend premium of 15% maintained 92% of baseline bookings while increasing weekend revenue by 11%.',
|
||||
},
|
||||
{
|
||||
name: 'Minimum Stay Reduction',
|
||||
hypothesis:
|
||||
'Reducing minimum stay from 3 nights to 2 nights on weekdays will fill gap nights and increase occupancy.',
|
||||
startDate: formatDate(daysAgo(30)),
|
||||
endDate: formatDate(daysAgo(7)),
|
||||
status: 'completed',
|
||||
conclusion:
|
||||
'Occupancy rose 8% during the test period. Gap nights filled at an acceptable rate. Recommend keeping 2-night min on weekdays.',
|
||||
},
|
||||
{
|
||||
name: 'Dynamic Last-Minute Discount',
|
||||
hypothesis:
|
||||
'Offering a 10% discount for bookings within 3 days of check-in will reduce vacancy on otherwise-empty nights.',
|
||||
startDate: formatDate(daysAgo(14)),
|
||||
status: 'active',
|
||||
},
|
||||
];
|
||||
|
||||
const insertedExperiments = await db
|
||||
.insert(experiments)
|
||||
.values(experimentRows)
|
||||
.returning({ id: experiments.id });
|
||||
|
||||
// ── Performance Snapshots ─────────────────────────────────────────────────
|
||||
|
||||
console.log('Inserting performance snapshots...');
|
||||
|
||||
const snapshotRows: (typeof performanceSnapshots.$inferInsert)[] = [];
|
||||
|
||||
for (const platformId of ['airbnb', 'vrbo']) {
|
||||
const platformMultiplier = platformId === 'airbnb' ? 1.0 : 0.6;
|
||||
|
||||
for (let daysBack = 89; daysBack >= 0; daysBack--) {
|
||||
const d = daysAgo(daysBack);
|
||||
// Slight upward trend: later days get a small boost
|
||||
const trendFactor = 1 + (90 - daysBack) * 0.001;
|
||||
|
||||
const viewsSearch = Math.round(
|
||||
randInt(500, 2000) * platformMultiplier * trendFactor,
|
||||
);
|
||||
const viewsListing = Math.round(
|
||||
randInt(100, 500) * platformMultiplier * trendFactor,
|
||||
);
|
||||
const occupancy = Math.min(
|
||||
rand(55, 85) * trendFactor,
|
||||
98,
|
||||
);
|
||||
const adr = rand(150, 250) * trendFactor;
|
||||
const bookingsCount = Math.round(
|
||||
randInt(2, 8) * platformMultiplier * (occupancy / 70),
|
||||
);
|
||||
const conversionRate = (bookingsCount / viewsListing) * 100;
|
||||
const revenue = adr * occupancy * 0.3; // rough approximation
|
||||
|
||||
snapshotRows.push({
|
||||
platformId,
|
||||
capturedAt: d.toISOString(),
|
||||
periodLabel: formatDate(d),
|
||||
viewsSearch,
|
||||
viewsListing,
|
||||
conversionRate: roundTo(conversionRate, 2),
|
||||
bookingsCount,
|
||||
occupancyRate: roundTo(occupancy, 1),
|
||||
avgDailyRate: roundTo(adr, 2),
|
||||
revenueTotal: roundTo(revenue, 2),
|
||||
rawJson: { source: 'seed', generated: true },
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Insert in batches
|
||||
for (let i = 0; i < snapshotRows.length; i += 50) {
|
||||
await db
|
||||
.insert(performanceSnapshots)
|
||||
.values(snapshotRows.slice(i, i + 50));
|
||||
}
|
||||
|
||||
// ── Daily Prices ──────────────────────────────────────────────────────────
|
||||
|
||||
console.log('Inserting daily prices...');
|
||||
|
||||
const priceRows: (typeof dailyPrices.$inferInsert)[] = [];
|
||||
|
||||
for (const platformId of ['airbnb', 'vrbo']) {
|
||||
for (let daysBack = 89; daysBack >= -30; daysBack--) {
|
||||
// Include 30 days into the future
|
||||
const d = daysAgo(daysBack);
|
||||
const trendFactor = 1 + (90 - daysBack) * 0.0005;
|
||||
|
||||
let basePrice = rand(150, 250) * trendFactor;
|
||||
if (isWeekend(d)) {
|
||||
basePrice *= rand(1.15, 1.35); // Weekend premium
|
||||
}
|
||||
|
||||
priceRows.push({
|
||||
platformId,
|
||||
date: formatDate(d),
|
||||
price: roundTo(basePrice, 2),
|
||||
isAvailable: Math.random() > 0.15, // ~85% availability
|
||||
minStayNights: isWeekend(d) ? 2 : 1,
|
||||
syncedAt: daysAgo(Math.max(daysBack, 0)).toISOString(),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
for (let i = 0; i < priceRows.length; i += 50) {
|
||||
await db.insert(dailyPrices).values(priceRows.slice(i, i + 50));
|
||||
}
|
||||
|
||||
// ── Reservations ──────────────────────────────────────────────────────────
|
||||
|
||||
console.log('Inserting reservations...');
|
||||
|
||||
const reservationRows: (typeof reservations.$inferInsert)[] = [];
|
||||
let reservationCounter = 1000;
|
||||
|
||||
for (let i = 0; i < 15; i++) {
|
||||
const platformId = i % 3 === 0 ? 'vrbo' : 'airbnb';
|
||||
const checkInDaysAgo = randInt(5, 85);
|
||||
const nights = randInt(2, 7);
|
||||
const checkIn = daysAgo(checkInDaysAgo);
|
||||
const checkOut = daysAgo(checkInDaysAgo - nights);
|
||||
const nightlyRate = rand(160, 280);
|
||||
const cleaningFee = randInt(75, 150);
|
||||
const platformFee = nightlyRate * nights * rand(0.03, 0.05);
|
||||
const totalPayout =
|
||||
nightlyRate * nights + cleaningFee - platformFee;
|
||||
|
||||
const bookedDaysBeforeCheckIn = randInt(3, 30);
|
||||
const bookedAt = daysAgo(checkInDaysAgo + bookedDaysBeforeCheckIn);
|
||||
|
||||
reservationCounter++;
|
||||
const isPast = checkInDaysAgo - nights > 0;
|
||||
|
||||
reservationRows.push({
|
||||
platformId,
|
||||
platformReservationId: `${platformId.toUpperCase()}-${reservationCounter}`,
|
||||
guestName: GUEST_NAMES[i % GUEST_NAMES.length],
|
||||
checkIn: formatDate(checkIn),
|
||||
checkOut: formatDate(checkOut),
|
||||
nights,
|
||||
guestsCount: randInt(1, 6),
|
||||
nightlyRate: roundTo(nightlyRate, 2),
|
||||
cleaningFee: cleaningFee.toString(),
|
||||
platformFee: roundTo(platformFee, 2),
|
||||
totalPayout: roundTo(totalPayout, 2),
|
||||
status: isPast ? 'completed' : 'confirmed',
|
||||
bookedAt: bookedAt.toISOString(),
|
||||
rawJson: { source: 'seed', generated: true },
|
||||
});
|
||||
}
|
||||
|
||||
await db.insert(reservations).values(reservationRows);
|
||||
|
||||
// ── Price Changes ─────────────────────────────────────────────────────────
|
||||
|
||||
console.log('Inserting price changes...');
|
||||
|
||||
const priceChangeRows: (typeof priceChanges.$inferInsert)[] = [];
|
||||
|
||||
// Link some price changes to the first experiment (weekend premium)
|
||||
for (let i = 0; i < 8; i++) {
|
||||
const d = daysAgo(randInt(30, 60));
|
||||
const before = rand(180, 230);
|
||||
const after = before * 1.15;
|
||||
|
||||
priceChangeRows.push({
|
||||
platformId: i % 2 === 0 ? 'airbnb' : 'vrbo',
|
||||
date: formatDate(d),
|
||||
priceBefore: roundTo(before, 2),
|
||||
priceAfter: roundTo(after, 2),
|
||||
changedBy: 'experiment',
|
||||
note: 'Weekend premium pricing experiment',
|
||||
experimentId: insertedExperiments[0].id,
|
||||
});
|
||||
}
|
||||
|
||||
// A few manual changes
|
||||
for (let i = 0; i < 4; i++) {
|
||||
const d = daysAgo(randInt(5, 25));
|
||||
const before = rand(170, 250);
|
||||
const after = before * rand(0.9, 1.1);
|
||||
|
||||
priceChangeRows.push({
|
||||
platformId: 'airbnb',
|
||||
date: formatDate(d),
|
||||
priceBefore: roundTo(before, 2),
|
||||
priceAfter: roundTo(after, 2),
|
||||
changedBy: 'manual',
|
||||
note: 'Manual price adjustment',
|
||||
});
|
||||
}
|
||||
|
||||
await db.insert(priceChanges).values(priceChangeRows);
|
||||
|
||||
// ── Scrape Jobs ───────────────────────────────────────────────────────────
|
||||
|
||||
console.log('Inserting scrape jobs...');
|
||||
|
||||
const scrapeRows: (typeof scrapeJobs.$inferInsert)[] = [];
|
||||
|
||||
for (const platformId of ['airbnb', 'vrbo']) {
|
||||
for (let i = 0; i < 5; i++) {
|
||||
const startedDaysAgo = randInt(0, 30);
|
||||
const started = daysAgo(startedDaysAgo);
|
||||
const completed = new Date(
|
||||
started.getTime() + randInt(5, 120) * 1000,
|
||||
);
|
||||
|
||||
scrapeRows.push({
|
||||
platformId,
|
||||
jobType: i % 2 === 0 ? 'performance' : 'calendar',
|
||||
triggeredBy: i === 0 ? 'manual' : 'scheduled',
|
||||
status: 'completed',
|
||||
startedAt: started.toISOString(),
|
||||
completedAt: completed.toISOString(),
|
||||
rowsCollected: randInt(10, 200),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
await db.insert(scrapeJobs).values(scrapeRows);
|
||||
|
||||
console.log('Seed complete.');
|
||||
}
|
||||
|
||||
seed()
|
||||
.then(() => {
|
||||
process.exit(0);
|
||||
})
|
||||
.catch((err) => {
|
||||
console.error('Seed failed:', err);
|
||||
process.exit(1);
|
||||
});
|
||||
194
apps/api/src/email/weeklyReport.ts
Normal file
194
apps/api/src/email/weeklyReport.ts
Normal file
@@ -0,0 +1,194 @@
|
||||
import nodemailer from 'nodemailer';
|
||||
import { sql } from 'drizzle-orm';
|
||||
import { db } from '../db/index.js';
|
||||
import { performanceSnapshots, reservations, platforms } from '../db/schema.js';
|
||||
import { config } from '../config.js';
|
||||
|
||||
export interface WeeklyReportData {
|
||||
generatedAt: string;
|
||||
thisWeek: WeekMetrics;
|
||||
lastWeek: WeekMetrics;
|
||||
platformBreakdown: PlatformMetrics[];
|
||||
}
|
||||
|
||||
interface WeekMetrics {
|
||||
from: string;
|
||||
to: string;
|
||||
totalRevenue: string;
|
||||
reservationCount: number;
|
||||
avgDailyRate: string;
|
||||
avgOccupancy: string;
|
||||
}
|
||||
|
||||
interface PlatformMetrics {
|
||||
platformId: string;
|
||||
displayName: string;
|
||||
revenue: string;
|
||||
reservations: number;
|
||||
avgDailyRate: string;
|
||||
}
|
||||
|
||||
export async function buildWeeklyReport(): Promise<WeeklyReportData> {
|
||||
const now = new Date();
|
||||
const thisWeekEnd = new Date(now);
|
||||
thisWeekEnd.setHours(23, 59, 59, 999);
|
||||
|
||||
const thisWeekStart = new Date(now);
|
||||
thisWeekStart.setDate(thisWeekStart.getDate() - 7);
|
||||
thisWeekStart.setHours(0, 0, 0, 0);
|
||||
|
||||
const lastWeekEnd = new Date(thisWeekStart);
|
||||
lastWeekEnd.setMilliseconds(-1);
|
||||
const lastWeekStart = new Date(lastWeekEnd);
|
||||
lastWeekStart.setDate(lastWeekStart.getDate() - 7);
|
||||
lastWeekStart.setHours(0, 0, 0, 0);
|
||||
|
||||
const [thisWeekMetrics] = await db
|
||||
.select({
|
||||
totalRevenue: sql<string>`coalesce(sum(${reservations.totalPayout}::numeric), 0)`.as('total_revenue'),
|
||||
reservationCount: sql<number>`count(*)::int`.as('reservation_count'),
|
||||
avgDailyRate: sql<string>`coalesce(avg(${reservations.nightlyRate}::numeric), 0)`.as('avg_daily_rate'),
|
||||
})
|
||||
.from(reservations)
|
||||
.where(
|
||||
sql`${reservations.checkIn}::date >= ${thisWeekStart.toISOString().split('T')[0]}
|
||||
AND ${reservations.checkIn}::date <= ${thisWeekEnd.toISOString().split('T')[0]}
|
||||
AND ${reservations.status} = 'confirmed'`,
|
||||
);
|
||||
|
||||
const [lastWeekMetrics] = await db
|
||||
.select({
|
||||
totalRevenue: sql<string>`coalesce(sum(${reservations.totalPayout}::numeric), 0)`.as('total_revenue'),
|
||||
reservationCount: sql<number>`count(*)::int`.as('reservation_count'),
|
||||
avgDailyRate: sql<string>`coalesce(avg(${reservations.nightlyRate}::numeric), 0)`.as('avg_daily_rate'),
|
||||
})
|
||||
.from(reservations)
|
||||
.where(
|
||||
sql`${reservations.checkIn}::date >= ${lastWeekStart.toISOString().split('T')[0]}
|
||||
AND ${reservations.checkIn}::date <= ${lastWeekEnd.toISOString().split('T')[0]}
|
||||
AND ${reservations.status} = 'confirmed'`,
|
||||
);
|
||||
|
||||
// Get avg occupancy from performance snapshots
|
||||
const [thisWeekOccupancy] = await db
|
||||
.select({
|
||||
avgOccupancy: sql<string>`coalesce(avg(${performanceSnapshots.occupancyRate}::numeric), 0)`.as('avg_occupancy'),
|
||||
})
|
||||
.from(performanceSnapshots)
|
||||
.where(
|
||||
sql`${performanceSnapshots.capturedAt} >= ${thisWeekStart.toISOString()}
|
||||
AND ${performanceSnapshots.capturedAt} <= ${thisWeekEnd.toISOString()}`,
|
||||
);
|
||||
|
||||
const [lastWeekOccupancy] = await db
|
||||
.select({
|
||||
avgOccupancy: sql<string>`coalesce(avg(${performanceSnapshots.occupancyRate}::numeric), 0)`.as('avg_occupancy'),
|
||||
})
|
||||
.from(performanceSnapshots)
|
||||
.where(
|
||||
sql`${performanceSnapshots.capturedAt} >= ${lastWeekStart.toISOString()}
|
||||
AND ${performanceSnapshots.capturedAt} <= ${lastWeekEnd.toISOString()}`,
|
||||
);
|
||||
|
||||
// Platform breakdown for this week
|
||||
const platformBreakdown = await db
|
||||
.select({
|
||||
platformId: reservations.platformId,
|
||||
displayName: platforms.displayName,
|
||||
revenue: sql<string>`coalesce(sum(${reservations.totalPayout}::numeric), 0)`.as('revenue'),
|
||||
reservationCount: sql<number>`count(*)::int`.as('reservations'),
|
||||
avgDailyRate: sql<string>`coalesce(avg(${reservations.nightlyRate}::numeric), 0)`.as('avg_daily_rate'),
|
||||
})
|
||||
.from(reservations)
|
||||
.innerJoin(platforms, sql`${reservations.platformId} = ${platforms.id}`)
|
||||
.where(
|
||||
sql`${reservations.checkIn}::date >= ${thisWeekStart.toISOString().split('T')[0]}
|
||||
AND ${reservations.checkIn}::date <= ${thisWeekEnd.toISOString().split('T')[0]}
|
||||
AND ${reservations.status} = 'confirmed'`,
|
||||
)
|
||||
.groupBy(reservations.platformId, platforms.displayName);
|
||||
|
||||
const fmt = (d: Date) => d.toISOString().split('T')[0]!;
|
||||
|
||||
return {
|
||||
generatedAt: now.toISOString(),
|
||||
thisWeek: {
|
||||
from: fmt(thisWeekStart),
|
||||
to: fmt(thisWeekEnd),
|
||||
totalRevenue: thisWeekMetrics?.totalRevenue ?? '0',
|
||||
reservationCount: thisWeekMetrics?.reservationCount ?? 0,
|
||||
avgDailyRate: thisWeekMetrics?.avgDailyRate ?? '0',
|
||||
avgOccupancy: thisWeekOccupancy?.avgOccupancy ?? '0',
|
||||
},
|
||||
lastWeek: {
|
||||
from: fmt(lastWeekStart),
|
||||
to: fmt(lastWeekEnd),
|
||||
totalRevenue: lastWeekMetrics?.totalRevenue ?? '0',
|
||||
reservationCount: lastWeekMetrics?.reservationCount ?? 0,
|
||||
avgDailyRate: lastWeekMetrics?.avgDailyRate ?? '0',
|
||||
avgOccupancy: lastWeekOccupancy?.avgOccupancy ?? '0',
|
||||
},
|
||||
platformBreakdown: platformBreakdown.map((p) => ({
|
||||
platformId: p.platformId,
|
||||
displayName: p.displayName,
|
||||
revenue: p.revenue,
|
||||
reservations: p.reservationCount,
|
||||
avgDailyRate: p.avgDailyRate,
|
||||
})),
|
||||
};
|
||||
}
|
||||
|
||||
export async function sendWeeklyReport(report: WeeklyReportData): Promise<void> {
|
||||
if (!config.SMTP_HOST || !config.REPORT_EMAIL_TO) {
|
||||
console.log('[email] SMTP not configured, skipping send. Report data:', JSON.stringify(report, null, 2));
|
||||
return;
|
||||
}
|
||||
|
||||
const transporter = nodemailer.createTransport({
|
||||
host: config.SMTP_HOST,
|
||||
port: config.SMTP_PORT,
|
||||
secure: config.SMTP_PORT === 465,
|
||||
auth:
|
||||
config.SMTP_USER && config.SMTP_PASS
|
||||
? { user: config.SMTP_USER, pass: config.SMTP_PASS }
|
||||
: undefined,
|
||||
});
|
||||
|
||||
const revenueChange =
|
||||
parseFloat(report.lastWeek.totalRevenue) > 0
|
||||
? (
|
||||
((parseFloat(report.thisWeek.totalRevenue) - parseFloat(report.lastWeek.totalRevenue)) /
|
||||
parseFloat(report.lastWeek.totalRevenue)) *
|
||||
100
|
||||
).toFixed(1)
|
||||
: 'N/A';
|
||||
|
||||
const subject = `STR Weekly Report: $${parseFloat(report.thisWeek.totalRevenue).toFixed(0)} revenue (${revenueChange}% WoW)`;
|
||||
|
||||
const body = `
|
||||
STR Optimization Manager - Weekly Report
|
||||
Generated: ${report.generatedAt}
|
||||
|
||||
=== This Week (${report.thisWeek.from} to ${report.thisWeek.to}) ===
|
||||
Revenue: $${parseFloat(report.thisWeek.totalRevenue).toFixed(2)}
|
||||
Reservations: ${report.thisWeek.reservationCount}
|
||||
Avg Daily Rate: $${parseFloat(report.thisWeek.avgDailyRate).toFixed(2)}
|
||||
Avg Occupancy: ${(parseFloat(report.thisWeek.avgOccupancy) * 100).toFixed(1)}%
|
||||
|
||||
=== Last Week (${report.lastWeek.from} to ${report.lastWeek.to}) ===
|
||||
Revenue: $${parseFloat(report.lastWeek.totalRevenue).toFixed(2)}
|
||||
Reservations: ${report.lastWeek.reservationCount}
|
||||
Avg Daily Rate: $${parseFloat(report.lastWeek.avgDailyRate).toFixed(2)}
|
||||
Avg Occupancy: ${(parseFloat(report.lastWeek.avgOccupancy) * 100).toFixed(1)}%
|
||||
|
||||
=== Platform Breakdown (This Week) ===
|
||||
${report.platformBreakdown.map((p) => `${p.displayName}: $${parseFloat(p.revenue).toFixed(2)} (${p.reservations} reservations)`).join('\n')}
|
||||
`.trim();
|
||||
|
||||
await transporter.sendMail({
|
||||
from: config.SMTP_USER ?? 'noreply@str-manager.local',
|
||||
to: config.REPORT_EMAIL_TO,
|
||||
subject,
|
||||
text: body,
|
||||
});
|
||||
}
|
||||
54
apps/api/src/index.ts
Normal file
54
apps/api/src/index.ts
Normal file
@@ -0,0 +1,54 @@
|
||||
import './config.js'; // loads dotenv first
|
||||
import Fastify from 'fastify';
|
||||
import cors from '@fastify/cors';
|
||||
import cookie from '@fastify/cookie';
|
||||
import authPlugin from './plugins/auth.js';
|
||||
import healthRoutes from './routes/health.js';
|
||||
import authRoutes from './routes/auth.js';
|
||||
import platformRoutes from './routes/platforms.js';
|
||||
import performanceRoutes from './routes/performance.js';
|
||||
import pricingRoutes from './routes/pricing.js';
|
||||
import experimentRoutes from './routes/experiments.js';
|
||||
import reservationRoutes from './routes/reservations.js';
|
||||
import reportRoutes from './routes/reports.js';
|
||||
import { initCronJobs } from './scheduler/cron.js';
|
||||
|
||||
declare module 'fastify' {
|
||||
interface FastifyInstance {
|
||||
authenticate: (request: import('fastify').FastifyRequest, reply: import('fastify').FastifyReply) => Promise<void>;
|
||||
}
|
||||
}
|
||||
|
||||
const fastify = Fastify({ logger: true });
|
||||
|
||||
async function start() {
|
||||
// Plugins
|
||||
await fastify.register(cors, {
|
||||
origin: 'http://localhost:5173',
|
||||
credentials: true,
|
||||
});
|
||||
await fastify.register(cookie);
|
||||
await fastify.register(authPlugin);
|
||||
|
||||
// Routes - health at root, everything else under /api/v1
|
||||
await fastify.register(healthRoutes);
|
||||
await fastify.register(authRoutes, { prefix: '/api/v1' });
|
||||
await fastify.register(platformRoutes, { prefix: '/api/v1' });
|
||||
await fastify.register(performanceRoutes, { prefix: '/api/v1' });
|
||||
await fastify.register(pricingRoutes, { prefix: '/api/v1' });
|
||||
await fastify.register(experimentRoutes, { prefix: '/api/v1' });
|
||||
await fastify.register(reservationRoutes, { prefix: '/api/v1' });
|
||||
await fastify.register(reportRoutes, { prefix: '/api/v1' });
|
||||
|
||||
// Cron
|
||||
initCronJobs();
|
||||
|
||||
// Start
|
||||
await fastify.listen({ port: 3000, host: '0.0.0.0' });
|
||||
console.log('API server running on http://localhost:3000');
|
||||
}
|
||||
|
||||
start().catch((err) => {
|
||||
fastify.log.error(err);
|
||||
process.exit(1);
|
||||
});
|
||||
41
apps/api/src/plugins/auth.ts
Normal file
41
apps/api/src/plugins/auth.ts
Normal file
@@ -0,0 +1,41 @@
|
||||
import fp from 'fastify-plugin';
|
||||
import { FastifyInstance, FastifyRequest, FastifyReply } from 'fastify';
|
||||
import { config } from '../config.js';
|
||||
|
||||
declare module 'fastify' {
|
||||
interface FastifyRequest {
|
||||
user: { username: string };
|
||||
}
|
||||
}
|
||||
|
||||
declare module '@fastify/jwt' {
|
||||
interface FastifyJWT {
|
||||
payload: { username: string };
|
||||
user: { username: string };
|
||||
}
|
||||
}
|
||||
|
||||
export default fp(async function authPlugin(fastify: FastifyInstance) {
|
||||
fastify.register(import('@fastify/jwt'), {
|
||||
secret: config.JWT_SECRET,
|
||||
cookie: {
|
||||
cookieName: 'token',
|
||||
signed: false,
|
||||
},
|
||||
});
|
||||
|
||||
fastify.decorate(
|
||||
'authenticate',
|
||||
async function (request: FastifyRequest, reply: FastifyReply) {
|
||||
try {
|
||||
await request.jwtVerify();
|
||||
} catch {
|
||||
reply.status(401).send({ error: 'Unauthorized' });
|
||||
}
|
||||
},
|
||||
);
|
||||
});
|
||||
|
||||
export function signToken(fastify: FastifyInstance, payload: { username: string }): string {
|
||||
return fastify.jwt.sign(payload, { expiresIn: '24h' });
|
||||
}
|
||||
47
apps/api/src/routes/auth.ts
Normal file
47
apps/api/src/routes/auth.ts
Normal file
@@ -0,0 +1,47 @@
|
||||
import { FastifyInstance } from 'fastify';
|
||||
import bcrypt from 'bcrypt';
|
||||
import { config } from '../config.js';
|
||||
import { signToken } from '../plugins/auth.js';
|
||||
|
||||
export default async function (fastify: FastifyInstance) {
|
||||
fastify.post<{
|
||||
Body: { username: string; password: string };
|
||||
}>('/auth/login', async (request, reply) => {
|
||||
const { username, password } = request.body;
|
||||
|
||||
if (username !== config.APP_USERNAME) {
|
||||
return reply.status(401).send({ error: 'Invalid credentials' });
|
||||
}
|
||||
|
||||
const valid = await bcrypt.compare(password, config.APP_PASSWORD_HASH);
|
||||
if (!valid) {
|
||||
return reply.status(401).send({ error: 'Invalid credentials' });
|
||||
}
|
||||
|
||||
const token = signToken(fastify, { username });
|
||||
|
||||
reply
|
||||
.setCookie('token', token, {
|
||||
path: '/',
|
||||
httpOnly: true,
|
||||
sameSite: 'lax',
|
||||
secure: process.env.NODE_ENV === 'production',
|
||||
maxAge: 60 * 60 * 24, // 24 hours
|
||||
})
|
||||
.send({ ok: true, username });
|
||||
});
|
||||
|
||||
fastify.post('/auth/logout', async (_request, reply) => {
|
||||
reply
|
||||
.clearCookie('token', { path: '/' })
|
||||
.send({ ok: true });
|
||||
});
|
||||
|
||||
fastify.get(
|
||||
'/auth/me',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
return reply.send({ username: request.user.username });
|
||||
},
|
||||
);
|
||||
}
|
||||
145
apps/api/src/routes/experiments.ts
Normal file
145
apps/api/src/routes/experiments.ts
Normal file
@@ -0,0 +1,145 @@
|
||||
import { FastifyInstance } from 'fastify';
|
||||
import { eq, and, gte, lte, desc } from 'drizzle-orm';
|
||||
import { db } from '../db/index.js';
|
||||
import { experiments, priceChanges, performanceSnapshots, platforms } from '../db/schema.js';
|
||||
|
||||
export default async function (fastify: FastifyInstance) {
|
||||
// List all experiments
|
||||
fastify.get(
|
||||
'/experiments',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (_request, reply) => {
|
||||
const rows = await db
|
||||
.select()
|
||||
.from(experiments)
|
||||
.orderBy(desc(experiments.createdAt));
|
||||
|
||||
return reply.send(rows);
|
||||
},
|
||||
);
|
||||
|
||||
// Create new experiment
|
||||
fastify.post<{
|
||||
Body: {
|
||||
name: string;
|
||||
hypothesis?: string;
|
||||
startDate: string;
|
||||
endDate?: string;
|
||||
};
|
||||
}>(
|
||||
'/experiments',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { name, hypothesis, startDate, endDate } = request.body;
|
||||
|
||||
const [created] = await db
|
||||
.insert(experiments)
|
||||
.values({
|
||||
name,
|
||||
hypothesis: hypothesis ?? null,
|
||||
startDate,
|
||||
endDate: endDate ?? null,
|
||||
status: 'active',
|
||||
})
|
||||
.returning();
|
||||
|
||||
return reply.status(201).send(created);
|
||||
},
|
||||
);
|
||||
|
||||
// Update experiment
|
||||
fastify.put<{
|
||||
Params: { id: string };
|
||||
Body: {
|
||||
status?: string;
|
||||
conclusion?: string;
|
||||
endDate?: string;
|
||||
name?: string;
|
||||
hypothesis?: string;
|
||||
};
|
||||
}>(
|
||||
'/experiments/:id',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { id } = request.params;
|
||||
const updates: Record<string, unknown> = {};
|
||||
|
||||
if (request.body.status !== undefined) updates.status = request.body.status;
|
||||
if (request.body.conclusion !== undefined) updates.conclusion = request.body.conclusion;
|
||||
if (request.body.endDate !== undefined) updates.endDate = request.body.endDate;
|
||||
if (request.body.name !== undefined) updates.name = request.body.name;
|
||||
if (request.body.hypothesis !== undefined) updates.hypothesis = request.body.hypothesis;
|
||||
|
||||
if (Object.keys(updates).length === 0) {
|
||||
return reply.status(400).send({ error: 'No fields to update' });
|
||||
}
|
||||
|
||||
const [updated] = await db
|
||||
.update(experiments)
|
||||
.set(updates)
|
||||
.where(eq(experiments.id, id))
|
||||
.returning();
|
||||
|
||||
if (!updated) {
|
||||
return reply.status(404).send({ error: 'Experiment not found' });
|
||||
}
|
||||
|
||||
return reply.send(updated);
|
||||
},
|
||||
);
|
||||
|
||||
// Analysis: linked price changes + performance data for the experiment date range
|
||||
fastify.get<{ Params: { id: string } }>(
|
||||
'/experiments/:id/analysis',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { id } = request.params;
|
||||
|
||||
const [experiment] = await db
|
||||
.select()
|
||||
.from(experiments)
|
||||
.where(eq(experiments.id, id))
|
||||
.limit(1);
|
||||
|
||||
if (!experiment) {
|
||||
return reply.status(404).send({ error: 'Experiment not found' });
|
||||
}
|
||||
|
||||
// Get price changes linked to this experiment
|
||||
const linkedChanges = await db
|
||||
.select({
|
||||
id: priceChanges.id,
|
||||
platformId: priceChanges.platformId,
|
||||
date: priceChanges.date,
|
||||
priceBefore: priceChanges.priceBefore,
|
||||
priceAfter: priceChanges.priceAfter,
|
||||
changedAt: priceChanges.changedAt,
|
||||
platformDisplayName: platforms.displayName,
|
||||
})
|
||||
.from(priceChanges)
|
||||
.innerJoin(platforms, eq(priceChanges.platformId, platforms.id))
|
||||
.where(eq(priceChanges.experimentId, id))
|
||||
.orderBy(priceChanges.date);
|
||||
|
||||
// Get performance snapshots within the experiment date range
|
||||
const perfConditions = [
|
||||
gte(performanceSnapshots.capturedAt, new Date(experiment.startDate)),
|
||||
];
|
||||
if (experiment.endDate) {
|
||||
perfConditions.push(lte(performanceSnapshots.capturedAt, new Date(experiment.endDate)));
|
||||
}
|
||||
|
||||
const snapshots = await db
|
||||
.select()
|
||||
.from(performanceSnapshots)
|
||||
.where(and(...perfConditions))
|
||||
.orderBy(performanceSnapshots.capturedAt);
|
||||
|
||||
return reply.send({
|
||||
experiment,
|
||||
priceChanges: linkedChanges,
|
||||
performanceSnapshots: snapshots,
|
||||
});
|
||||
},
|
||||
);
|
||||
}
|
||||
20
apps/api/src/routes/health.ts
Normal file
20
apps/api/src/routes/health.ts
Normal file
@@ -0,0 +1,20 @@
|
||||
import { FastifyInstance } from 'fastify';
|
||||
import { sql } from '../db/index.js';
|
||||
|
||||
export default async function (fastify: FastifyInstance) {
|
||||
fastify.get('/health', async (_request, reply) => {
|
||||
let dbOk = false;
|
||||
try {
|
||||
await sql`SELECT 1`;
|
||||
dbOk = true;
|
||||
} catch {
|
||||
// db unreachable
|
||||
}
|
||||
|
||||
return reply.send({
|
||||
status: 'ok',
|
||||
db: dbOk,
|
||||
timestamp: new Date().toISOString(),
|
||||
});
|
||||
});
|
||||
}
|
||||
142
apps/api/src/routes/performance.ts
Normal file
142
apps/api/src/routes/performance.ts
Normal file
@@ -0,0 +1,142 @@
|
||||
import { FastifyInstance } from 'fastify';
|
||||
import { eq, and, gte, lte, desc, sql } from 'drizzle-orm';
|
||||
import { db } from '../db/index.js';
|
||||
import { performanceSnapshots, platforms } from '../db/schema.js';
|
||||
|
||||
export default async function (fastify: FastifyInstance) {
|
||||
// Query snapshots with filters
|
||||
fastify.get<{
|
||||
Querystring: { platform?: string; from?: string; to?: string };
|
||||
}>(
|
||||
'/performance/snapshots',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { platform, from, to } = request.query;
|
||||
|
||||
const conditions = [];
|
||||
if (platform) conditions.push(eq(performanceSnapshots.platformId, platform));
|
||||
if (from) conditions.push(gte(performanceSnapshots.capturedAt, from));
|
||||
if (to) conditions.push(lte(performanceSnapshots.capturedAt, to));
|
||||
|
||||
const rows = await db
|
||||
.select()
|
||||
.from(performanceSnapshots)
|
||||
.where(conditions.length > 0 ? and(...conditions) : undefined)
|
||||
.orderBy(desc(performanceSnapshots.capturedAt))
|
||||
.limit(200);
|
||||
|
||||
return reply.send(rows);
|
||||
},
|
||||
);
|
||||
|
||||
// Aggregated summary for the dashboard
|
||||
fastify.get(
|
||||
'/performance/summary',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (_request, reply) => {
|
||||
// Get latest snapshot per platform
|
||||
const latestPerPlatform = await db
|
||||
.selectDistinctOn([performanceSnapshots.platformId], {
|
||||
platformId: performanceSnapshots.platformId,
|
||||
viewsSearch: performanceSnapshots.viewsSearch,
|
||||
viewsListing: performanceSnapshots.viewsListing,
|
||||
conversionRate: performanceSnapshots.conversionRate,
|
||||
bookingsCount: performanceSnapshots.bookingsCount,
|
||||
occupancyRate: performanceSnapshots.occupancyRate,
|
||||
avgDailyRate: performanceSnapshots.avgDailyRate,
|
||||
revenueTotal: performanceSnapshots.revenueTotal,
|
||||
})
|
||||
.from(performanceSnapshots)
|
||||
.orderBy(performanceSnapshots.platformId, desc(performanceSnapshots.capturedAt));
|
||||
|
||||
// Aggregate across platforms
|
||||
let totalOccupancy = 0;
|
||||
let totalAdr = 0;
|
||||
let totalRevenue = 0;
|
||||
let totalViews = 0;
|
||||
const count = latestPerPlatform.length || 1;
|
||||
|
||||
for (const snap of latestPerPlatform) {
|
||||
totalOccupancy += Number(snap.occupancyRate || 0);
|
||||
totalAdr += Number(snap.avgDailyRate || 0);
|
||||
totalRevenue += Number(snap.revenueTotal || 0);
|
||||
totalViews += Number(snap.viewsSearch || 0);
|
||||
}
|
||||
|
||||
// Get data from ~30 days ago for trend calculation
|
||||
const thirtyDaysAgo = new Date();
|
||||
thirtyDaysAgo.setDate(thirtyDaysAgo.getDate() - 30);
|
||||
const oldSnapshots = await db
|
||||
.selectDistinctOn([performanceSnapshots.platformId], {
|
||||
platformId: performanceSnapshots.platformId,
|
||||
occupancyRate: performanceSnapshots.occupancyRate,
|
||||
avgDailyRate: performanceSnapshots.avgDailyRate,
|
||||
revenueTotal: performanceSnapshots.revenueTotal,
|
||||
viewsSearch: performanceSnapshots.viewsSearch,
|
||||
})
|
||||
.from(performanceSnapshots)
|
||||
.where(lte(performanceSnapshots.capturedAt, thirtyDaysAgo.toISOString()))
|
||||
.orderBy(performanceSnapshots.platformId, desc(performanceSnapshots.capturedAt));
|
||||
|
||||
let oldOccupancy = 0, oldAdr = 0, oldRevenue = 0, oldViews = 0;
|
||||
for (const snap of oldSnapshots) {
|
||||
oldOccupancy += Number(snap.occupancyRate || 0);
|
||||
oldAdr += Number(snap.avgDailyRate || 0);
|
||||
oldRevenue += Number(snap.revenueTotal || 0);
|
||||
oldViews += Number(snap.viewsSearch || 0);
|
||||
}
|
||||
const oldCount = oldSnapshots.length || 1;
|
||||
|
||||
const calcTrend = (current: number, old: number) =>
|
||||
old > 0 ? (current - old) / old : 0;
|
||||
|
||||
const summary = {
|
||||
occupancyRate: (totalOccupancy / count) / 100,
|
||||
occupancyTrend: calcTrend(totalOccupancy / count, oldOccupancy / oldCount),
|
||||
avgDailyRate: totalAdr / count,
|
||||
adrTrend: calcTrend(totalAdr / count, oldAdr / oldCount),
|
||||
revenueMtd: totalRevenue,
|
||||
revenueTrend: calcTrend(totalRevenue, oldRevenue),
|
||||
searchViews30d: totalViews,
|
||||
viewsTrend: calcTrend(totalViews, oldViews),
|
||||
platforms: latestPerPlatform,
|
||||
};
|
||||
|
||||
return reply.send(summary);
|
||||
},
|
||||
);
|
||||
|
||||
// Time-series data grouped by date for charts
|
||||
fastify.get<{
|
||||
Querystring: { platform?: string; from?: string; to?: string };
|
||||
}>(
|
||||
'/performance/trends',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { platform, from, to } = request.query;
|
||||
|
||||
const conditions = [];
|
||||
if (platform) conditions.push(eq(performanceSnapshots.platformId, platform));
|
||||
if (from) conditions.push(gte(performanceSnapshots.capturedAt, from));
|
||||
if (to) conditions.push(lte(performanceSnapshots.capturedAt, to));
|
||||
|
||||
const rows = await db
|
||||
.select({
|
||||
date: performanceSnapshots.periodLabel,
|
||||
platformId: performanceSnapshots.platformId,
|
||||
viewsSearch: performanceSnapshots.viewsSearch,
|
||||
viewsListing: performanceSnapshots.viewsListing,
|
||||
conversionRate: performanceSnapshots.conversionRate,
|
||||
bookingsCount: performanceSnapshots.bookingsCount,
|
||||
occupancyRate: performanceSnapshots.occupancyRate,
|
||||
avgDailyRate: performanceSnapshots.avgDailyRate,
|
||||
revenueTotal: performanceSnapshots.revenueTotal,
|
||||
})
|
||||
.from(performanceSnapshots)
|
||||
.where(conditions.length > 0 ? and(...conditions) : undefined)
|
||||
.orderBy(performanceSnapshots.capturedAt);
|
||||
|
||||
return reply.send(rows);
|
||||
},
|
||||
);
|
||||
}
|
||||
209
apps/api/src/routes/platforms.ts
Normal file
209
apps/api/src/routes/platforms.ts
Normal file
@@ -0,0 +1,209 @@
|
||||
import { FastifyInstance } from 'fastify';
|
||||
import { eq, desc } from 'drizzle-orm';
|
||||
import { db } from '../db/index.js';
|
||||
import { platforms, scrapeJobs, performanceSnapshots } from '../db/schema.js';
|
||||
import { encrypt, decrypt } from '../services/encryption.js';
|
||||
import { config } from '../config.js';
|
||||
|
||||
export default async function (fastify: FastifyInstance) {
|
||||
// List all platforms with latest metrics
|
||||
fastify.get(
|
||||
'/platforms',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (_request, reply) => {
|
||||
const rows = await db
|
||||
.select({
|
||||
id: platforms.id,
|
||||
displayName: platforms.displayName,
|
||||
hasCredentials: platforms.credentialsEncrypted,
|
||||
lastScrapeAt: platforms.lastScrapeAt,
|
||||
isActive: platforms.isActive,
|
||||
})
|
||||
.from(platforms);
|
||||
|
||||
// Get latest snapshot and scrape job per platform
|
||||
const result = await Promise.all(
|
||||
rows.map(async (r) => {
|
||||
const [latestSnapshot] = await db
|
||||
.select()
|
||||
.from(performanceSnapshots)
|
||||
.where(eq(performanceSnapshots.platformId, r.id))
|
||||
.orderBy(desc(performanceSnapshots.capturedAt))
|
||||
.limit(1);
|
||||
|
||||
const [latestJob] = await db
|
||||
.select()
|
||||
.from(scrapeJobs)
|
||||
.where(eq(scrapeJobs.platformId, r.id))
|
||||
.orderBy(desc(scrapeJobs.startedAt))
|
||||
.limit(1);
|
||||
|
||||
return {
|
||||
id: r.id,
|
||||
name: r.id,
|
||||
displayName: r.displayName,
|
||||
hasCredentials: r.hasCredentials !== null,
|
||||
lastScrapeAt: latestJob?.completedAt || r.lastScrapeAt,
|
||||
lastScrapeStatus: latestJob?.status === 'completed' ? 'success' : (latestJob?.status || 'unknown'),
|
||||
isActive: r.isActive,
|
||||
occupancyRate: latestSnapshot ? Number(latestSnapshot.occupancyRate) / 100 : 0,
|
||||
avgDailyRate: latestSnapshot ? Number(latestSnapshot.avgDailyRate) : 0,
|
||||
revenueMtd: latestSnapshot ? Number(latestSnapshot.revenueTotal) : 0,
|
||||
searchViews30d: latestSnapshot?.viewsSearch || 0,
|
||||
};
|
||||
}),
|
||||
);
|
||||
|
||||
return reply.send(result);
|
||||
},
|
||||
);
|
||||
|
||||
// Update encrypted credentials
|
||||
fastify.put<{
|
||||
Params: { id: string };
|
||||
Body: Record<string, string>;
|
||||
}>(
|
||||
'/platforms/:id/credentials',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { id } = request.params;
|
||||
const credentials = request.body;
|
||||
|
||||
const encrypted = encrypt(JSON.stringify(credentials));
|
||||
|
||||
const updated = await db
|
||||
.update(platforms)
|
||||
.set({ credentialsEncrypted: encrypted })
|
||||
.where(eq(platforms.id, id))
|
||||
.returning();
|
||||
|
||||
if (updated.length === 0) {
|
||||
return reply.status(404).send({ error: 'Platform not found' });
|
||||
}
|
||||
|
||||
return reply.send({ ok: true });
|
||||
},
|
||||
);
|
||||
|
||||
// Test platform credentials via scraper
|
||||
fastify.post<{ Params: { id: string } }>(
|
||||
'/platforms/:id/test',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { id } = request.params;
|
||||
|
||||
try {
|
||||
const res = await fetch(`${config.SCRAPER_URL}/platforms/${id}/test`, {
|
||||
method: 'POST',
|
||||
});
|
||||
const data = await res.json();
|
||||
return reply.status(res.status).send(data);
|
||||
} catch {
|
||||
return reply.status(502).send({ error: 'Scraper service unavailable' });
|
||||
}
|
||||
},
|
||||
);
|
||||
|
||||
// Trigger scrape job
|
||||
fastify.post<{ Params: { id: string } }>(
|
||||
'/platforms/:id/scrape',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { id } = request.params;
|
||||
|
||||
try {
|
||||
const res = await fetch(`${config.SCRAPER_URL}/jobs`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ platformId: id, jobType: 'full', triggeredBy: 'manual' }),
|
||||
});
|
||||
const data = await res.json();
|
||||
return reply.status(res.status).send(data);
|
||||
} catch {
|
||||
return reply.status(502).send({ error: 'Scraper service unavailable' });
|
||||
}
|
||||
},
|
||||
);
|
||||
|
||||
// Login to platform via scraper (launches browser for MFA)
|
||||
fastify.post<{
|
||||
Params: { id: string };
|
||||
Body: { email?: string; password?: string };
|
||||
}>(
|
||||
'/platforms/:id/login',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { id } = request.params;
|
||||
let { email, password } = request.body || {};
|
||||
|
||||
// If no credentials in body, pull from DB
|
||||
if (!email || !password) {
|
||||
const [platform] = await db
|
||||
.select({ credentialsEncrypted: platforms.credentialsEncrypted })
|
||||
.from(platforms)
|
||||
.where(eq(platforms.id, id));
|
||||
|
||||
if (platform?.credentialsEncrypted) {
|
||||
try {
|
||||
const saved = JSON.parse(decrypt(platform.credentialsEncrypted));
|
||||
email = email || saved.email;
|
||||
password = password || saved.password;
|
||||
} catch (err) {
|
||||
return reply.status(500).send({ error: 'Failed to decrypt stored credentials' });
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (!email || !password) {
|
||||
return reply.status(400).send({ error: 'No credentials provided and none saved for this platform. Save credentials first.' });
|
||||
}
|
||||
|
||||
try {
|
||||
const res = await fetch(`${config.SCRAPER_URL}/platforms/${id}/login`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ email, password }),
|
||||
});
|
||||
const data = await res.json();
|
||||
return reply.status(res.status).send(data);
|
||||
} catch {
|
||||
return reply.status(502).send({ error: 'Scraper service unavailable' });
|
||||
}
|
||||
},
|
||||
);
|
||||
|
||||
// Check platform session status
|
||||
fastify.get<{ Params: { id: string } }>(
|
||||
'/platforms/:id/session',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { id } = request.params;
|
||||
|
||||
try {
|
||||
const res = await fetch(`${config.SCRAPER_URL}/platforms/${id}/session`);
|
||||
const data = await res.json();
|
||||
return reply.status(res.status).send(data);
|
||||
} catch {
|
||||
return reply.status(502).send({ error: 'Scraper service unavailable' });
|
||||
}
|
||||
},
|
||||
);
|
||||
|
||||
// List recent scrape jobs for a platform
|
||||
fastify.get<{ Params: { id: string } }>(
|
||||
'/platforms/:id/scrape-jobs',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { id } = request.params;
|
||||
|
||||
const jobs = await db
|
||||
.select()
|
||||
.from(scrapeJobs)
|
||||
.where(eq(scrapeJobs.platformId, id))
|
||||
.orderBy(desc(scrapeJobs.startedAt))
|
||||
.limit(20);
|
||||
|
||||
return reply.send(jobs);
|
||||
},
|
||||
);
|
||||
}
|
||||
185
apps/api/src/routes/pricing.ts
Normal file
185
apps/api/src/routes/pricing.ts
Normal file
@@ -0,0 +1,185 @@
|
||||
import { FastifyInstance } from 'fastify';
|
||||
import { eq, and, gte, lte, desc } from 'drizzle-orm';
|
||||
import { db } from '../db/index.js';
|
||||
import { dailyPrices, priceChanges, platforms } from '../db/schema.js';
|
||||
import { config } from '../config.js';
|
||||
|
||||
interface PriceChangeItem {
|
||||
date: string;
|
||||
price: number;
|
||||
platformIds: string[];
|
||||
}
|
||||
|
||||
export default async function (fastify: FastifyInstance) {
|
||||
// Get daily prices calendar
|
||||
fastify.get<{
|
||||
Querystring: { platform?: string; from?: string; to?: string };
|
||||
}>(
|
||||
'/pricing/calendar',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { platform, from, to } = request.query;
|
||||
|
||||
const conditions = [];
|
||||
if (platform) conditions.push(eq(dailyPrices.platformId, platform));
|
||||
if (from) conditions.push(gte(dailyPrices.date, from));
|
||||
if (to) conditions.push(lte(dailyPrices.date, to));
|
||||
|
||||
const rows = await db
|
||||
.select()
|
||||
.from(dailyPrices)
|
||||
.where(conditions.length > 0 ? and(...conditions) : undefined)
|
||||
.orderBy(dailyPrices.date);
|
||||
|
||||
return reply.send(rows);
|
||||
},
|
||||
);
|
||||
|
||||
// Preview price changes - returns diff with previewToken
|
||||
fastify.post<{
|
||||
Body: { changes: PriceChangeItem[] };
|
||||
}>(
|
||||
'/pricing/preview',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { changes } = request.body;
|
||||
|
||||
// Build the diff: fetch current prices for the affected dates/platforms
|
||||
const diff = [];
|
||||
for (const change of changes) {
|
||||
for (const platformId of change.platformIds) {
|
||||
const current = await db
|
||||
.select()
|
||||
.from(dailyPrices)
|
||||
.where(
|
||||
and(
|
||||
eq(dailyPrices.platformId, platformId),
|
||||
eq(dailyPrices.date, change.date),
|
||||
),
|
||||
)
|
||||
.limit(1);
|
||||
|
||||
diff.push({
|
||||
platformId,
|
||||
date: change.date,
|
||||
currentPrice: current[0]?.price ?? null,
|
||||
newPrice: change.price.toString(),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Issue a short-lived preview token
|
||||
const previewToken = fastify.jwt.sign(
|
||||
{ changes, diff, type: 'price-preview' },
|
||||
{ expiresIn: '5m' },
|
||||
);
|
||||
|
||||
return reply.send({ diff, previewToken });
|
||||
},
|
||||
);
|
||||
|
||||
// Apply previewed price changes
|
||||
fastify.post<{
|
||||
Body: { previewToken: string; note?: string; experimentId?: string };
|
||||
}>(
|
||||
'/pricing/apply',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { previewToken, note, experimentId } = request.body;
|
||||
|
||||
// Verify the preview token
|
||||
let payload: { changes: PriceChangeItem[]; diff: Array<{ platformId: string; date: string; currentPrice: string | null; newPrice: string }> };
|
||||
try {
|
||||
payload = fastify.jwt.verify<typeof payload>(previewToken);
|
||||
} catch {
|
||||
return reply.status(400).send({ error: 'Invalid or expired preview token' });
|
||||
}
|
||||
|
||||
// Forward price updates to scraper service
|
||||
try {
|
||||
const res = await fetch(`${config.SCRAPER_URL}/api/pricing/apply`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ changes: payload.changes }),
|
||||
});
|
||||
|
||||
if (!res.ok) {
|
||||
const err = await res.json().catch(() => ({}));
|
||||
return reply.status(res.status).send({ error: 'Scraper failed to apply prices', detail: err });
|
||||
}
|
||||
} catch {
|
||||
return reply.status(502).send({ error: 'Scraper service unavailable' });
|
||||
}
|
||||
|
||||
// Record price changes in DB
|
||||
const changeRecords = payload.diff.map((d) => ({
|
||||
platformId: d.platformId,
|
||||
date: d.date,
|
||||
priceBefore: d.currentPrice ?? '0',
|
||||
priceAfter: d.newPrice,
|
||||
changedBy: request.user.username,
|
||||
note: note ?? null,
|
||||
experimentId: experimentId ?? null,
|
||||
}));
|
||||
|
||||
if (changeRecords.length > 0) {
|
||||
await db.insert(priceChanges).values(changeRecords);
|
||||
}
|
||||
|
||||
// Update daily_prices table
|
||||
for (const d of payload.diff) {
|
||||
await db
|
||||
.insert(dailyPrices)
|
||||
.values({
|
||||
platformId: d.platformId,
|
||||
date: d.date,
|
||||
price: d.newPrice,
|
||||
syncedAt: new Date(),
|
||||
})
|
||||
.onConflictDoUpdate({
|
||||
target: [dailyPrices.platformId, dailyPrices.date],
|
||||
set: { price: d.newPrice, syncedAt: new Date() },
|
||||
});
|
||||
}
|
||||
|
||||
return reply.send({ ok: true, applied: changeRecords.length });
|
||||
},
|
||||
);
|
||||
|
||||
// Price change log
|
||||
fastify.get<{
|
||||
Querystring: { platform?: string; from?: string; to?: string };
|
||||
}>(
|
||||
'/pricing/changes',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { platform, from, to } = request.query;
|
||||
|
||||
const conditions = [];
|
||||
if (platform) conditions.push(eq(priceChanges.platformId, platform));
|
||||
if (from) conditions.push(gte(priceChanges.date, from));
|
||||
if (to) conditions.push(lte(priceChanges.date, to));
|
||||
|
||||
const rows = await db
|
||||
.select({
|
||||
id: priceChanges.id,
|
||||
platformId: priceChanges.platformId,
|
||||
date: priceChanges.date,
|
||||
priceBefore: priceChanges.priceBefore,
|
||||
priceAfter: priceChanges.priceAfter,
|
||||
changedAt: priceChanges.changedAt,
|
||||
changedBy: priceChanges.changedBy,
|
||||
note: priceChanges.note,
|
||||
experimentId: priceChanges.experimentId,
|
||||
platformDisplayName: platforms.displayName,
|
||||
})
|
||||
.from(priceChanges)
|
||||
.innerJoin(platforms, eq(priceChanges.platformId, platforms.id))
|
||||
.where(conditions.length > 0 ? and(...conditions) : undefined)
|
||||
.orderBy(desc(priceChanges.changedAt))
|
||||
.limit(200);
|
||||
|
||||
return reply.send(rows);
|
||||
},
|
||||
);
|
||||
}
|
||||
30
apps/api/src/routes/reports.ts
Normal file
30
apps/api/src/routes/reports.ts
Normal file
@@ -0,0 +1,30 @@
|
||||
import { FastifyInstance } from 'fastify';
|
||||
import { buildWeeklyReport, sendWeeklyReport } from '../email/weeklyReport.js';
|
||||
|
||||
export default async function (fastify: FastifyInstance) {
|
||||
// Send weekly report email
|
||||
fastify.post(
|
||||
'/reports/weekly/send',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (_request, reply) => {
|
||||
try {
|
||||
const report = await buildWeeklyReport();
|
||||
await sendWeeklyReport(report);
|
||||
return reply.send({ ok: true, message: 'Weekly report sent' });
|
||||
} catch (err) {
|
||||
const message = err instanceof Error ? err.message : 'Unknown error';
|
||||
return reply.status(500).send({ error: 'Failed to send report', detail: message });
|
||||
}
|
||||
},
|
||||
);
|
||||
|
||||
// Preview weekly report as JSON
|
||||
fastify.get(
|
||||
'/reports/weekly/preview',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (_request, reply) => {
|
||||
const report = await buildWeeklyReport();
|
||||
return reply.send(report);
|
||||
},
|
||||
);
|
||||
}
|
||||
75
apps/api/src/routes/reservations.ts
Normal file
75
apps/api/src/routes/reservations.ts
Normal file
@@ -0,0 +1,75 @@
|
||||
import { FastifyInstance } from 'fastify';
|
||||
import { eq, and, gte, lte, desc, sql } from 'drizzle-orm';
|
||||
import { db } from '../db/index.js';
|
||||
import { reservations, platforms } from '../db/schema.js';
|
||||
|
||||
export default async function (fastify: FastifyInstance) {
|
||||
// List reservations with filters
|
||||
fastify.get<{
|
||||
Querystring: { platform?: string; status?: string; from?: string; to?: string };
|
||||
}>(
|
||||
'/reservations',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (request, reply) => {
|
||||
const { platform, status, from, to } = request.query;
|
||||
|
||||
const conditions = [];
|
||||
if (platform) conditions.push(eq(reservations.platformId, platform));
|
||||
if (status) conditions.push(eq(reservations.status, status));
|
||||
if (from) conditions.push(gte(reservations.checkIn, from));
|
||||
if (to) conditions.push(lte(reservations.checkIn, to));
|
||||
|
||||
const rows = await db
|
||||
.select({
|
||||
id: reservations.id,
|
||||
platformId: reservations.platformId,
|
||||
platformReservationId: reservations.platformReservationId,
|
||||
guestName: reservations.guestName,
|
||||
checkIn: reservations.checkIn,
|
||||
checkOut: reservations.checkOut,
|
||||
nights: reservations.nights,
|
||||
guestsCount: reservations.guestsCount,
|
||||
nightlyRate: reservations.nightlyRate,
|
||||
cleaningFee: reservations.cleaningFee,
|
||||
platformFee: reservations.platformFee,
|
||||
totalPayout: reservations.totalPayout,
|
||||
status: reservations.status,
|
||||
bookedAt: reservations.bookedAt,
|
||||
platformDisplayName: platforms.displayName,
|
||||
})
|
||||
.from(reservations)
|
||||
.innerJoin(platforms, eq(reservations.platformId, platforms.id))
|
||||
.where(conditions.length > 0 ? and(...conditions) : undefined)
|
||||
.orderBy(desc(reservations.checkIn))
|
||||
.limit(200);
|
||||
|
||||
return reply.send(rows);
|
||||
},
|
||||
);
|
||||
|
||||
// Monthly revenue and occupancy aggregation
|
||||
fastify.get(
|
||||
'/reservations/summary',
|
||||
{ preHandler: [fastify.authenticate] },
|
||||
async (_request, reply) => {
|
||||
const rows = await db
|
||||
.select({
|
||||
month: sql<string>`to_char(${reservations.checkIn}::date, 'YYYY-MM')`.as('month'),
|
||||
platformId: reservations.platformId,
|
||||
totalRevenue: sql<string>`sum(${reservations.totalPayout}::numeric)`.as('total_revenue'),
|
||||
reservationCount: sql<number>`count(*)::int`.as('reservation_count'),
|
||||
totalNights: sql<number>`sum(${reservations.nights})::int`.as('total_nights'),
|
||||
avgNightlyRate: sql<string>`avg(${reservations.nightlyRate}::numeric)`.as('avg_nightly_rate'),
|
||||
})
|
||||
.from(reservations)
|
||||
.where(eq(reservations.status, 'confirmed'))
|
||||
.groupBy(
|
||||
sql`to_char(${reservations.checkIn}::date, 'YYYY-MM')`,
|
||||
reservations.platformId,
|
||||
)
|
||||
.orderBy(sql`to_char(${reservations.checkIn}::date, 'YYYY-MM')`);
|
||||
|
||||
return reply.send(rows);
|
||||
},
|
||||
);
|
||||
}
|
||||
58
apps/api/src/scheduler/cron.ts
Normal file
58
apps/api/src/scheduler/cron.ts
Normal file
@@ -0,0 +1,58 @@
|
||||
import cron from 'node-cron';
|
||||
import { eq } from 'drizzle-orm';
|
||||
import { db } from '../db/index.js';
|
||||
import { platforms } from '../db/schema.js';
|
||||
import { config } from '../config.js';
|
||||
import { buildWeeklyReport, sendWeeklyReport } from '../email/weeklyReport.js';
|
||||
|
||||
async function triggerDailyScrape() {
|
||||
console.log('[cron] Starting daily scrape for all active platforms');
|
||||
|
||||
const activePlatforms = await db
|
||||
.select({ id: platforms.id, displayName: platforms.displayName })
|
||||
.from(platforms)
|
||||
.where(eq(platforms.isActive, true));
|
||||
|
||||
for (const platform of activePlatforms) {
|
||||
try {
|
||||
const res = await fetch(`${config.SCRAPER_URL}/api/platforms/${platform.id}/scrape`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ triggeredBy: 'cron' }),
|
||||
});
|
||||
|
||||
if (res.ok) {
|
||||
console.log(`[cron] Scrape triggered for ${platform.displayName}`);
|
||||
} else {
|
||||
console.error(`[cron] Scrape failed for ${platform.displayName}: ${res.status}`);
|
||||
}
|
||||
} catch (err) {
|
||||
console.error(`[cron] Scrape error for ${platform.displayName}:`, err);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
async function triggerWeeklyReport() {
|
||||
console.log('[cron] Building and sending weekly report');
|
||||
try {
|
||||
const report = await buildWeeklyReport();
|
||||
await sendWeeklyReport(report);
|
||||
console.log('[cron] Weekly report sent successfully');
|
||||
} catch (err) {
|
||||
console.error('[cron] Weekly report failed:', err);
|
||||
}
|
||||
}
|
||||
|
||||
export function initCronJobs() {
|
||||
// Daily scrape at 3:00 AM
|
||||
cron.schedule('0 3 * * *', () => {
|
||||
triggerDailyScrape().catch(console.error);
|
||||
});
|
||||
|
||||
// Weekly report Monday at 8:00 AM
|
||||
cron.schedule('0 8 * * 1', () => {
|
||||
triggerWeeklyReport().catch(console.error);
|
||||
});
|
||||
|
||||
console.log('[cron] Scheduled jobs initialized: daily scrape (3am), weekly report (Mon 8am)');
|
||||
}
|
||||
45
apps/api/src/services/encryption.ts
Normal file
45
apps/api/src/services/encryption.ts
Normal file
@@ -0,0 +1,45 @@
|
||||
import { createCipheriv, createDecipheriv, randomBytes } from 'node:crypto';
|
||||
import { config } from '../config.js';
|
||||
|
||||
const ALGORITHM = 'aes-256-gcm';
|
||||
const IV_LENGTH = 16;
|
||||
const AUTH_TAG_LENGTH = 16;
|
||||
|
||||
function getKey(): Buffer {
|
||||
const key = Buffer.from(config.ENCRYPTION_KEY, 'hex');
|
||||
if (key.length !== 32) {
|
||||
throw new Error('ENCRYPTION_KEY must be 32 bytes (64 hex characters)');
|
||||
}
|
||||
return key;
|
||||
}
|
||||
|
||||
export function encrypt(plaintext: string): string {
|
||||
const key = getKey();
|
||||
const iv = randomBytes(IV_LENGTH);
|
||||
const cipher = createCipheriv(ALGORITHM, key, iv);
|
||||
|
||||
let encrypted = cipher.update(plaintext, 'utf8', 'hex');
|
||||
encrypted += cipher.final('hex');
|
||||
const authTag = cipher.getAuthTag();
|
||||
|
||||
// Format: iv:authTag:ciphertext (all hex)
|
||||
return `${iv.toString('hex')}:${authTag.toString('hex')}:${encrypted}`;
|
||||
}
|
||||
|
||||
export function decrypt(encryptedPayload: string): string {
|
||||
const key = getKey();
|
||||
const [ivHex, authTagHex, ciphertext] = encryptedPayload.split(':');
|
||||
|
||||
if (!ivHex || !authTagHex || !ciphertext) {
|
||||
throw new Error('Invalid encrypted payload format');
|
||||
}
|
||||
|
||||
const iv = Buffer.from(ivHex, 'hex');
|
||||
const authTag = Buffer.from(authTagHex, 'hex');
|
||||
const decipher = createDecipheriv(ALGORITHM, key, iv);
|
||||
decipher.setAuthTag(authTag);
|
||||
|
||||
let decrypted = decipher.update(ciphertext, 'hex', 'utf8');
|
||||
decrypted += decipher.final('utf8');
|
||||
return decrypted;
|
||||
}
|
||||
8
apps/api/tsconfig.json
Normal file
8
apps/api/tsconfig.json
Normal file
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"extends": "../../tsconfig.base.json",
|
||||
"compilerOptions": {
|
||||
"outDir": "./dist",
|
||||
"rootDir": "./src"
|
||||
},
|
||||
"include": ["src"]
|
||||
}
|
||||
Reference in New Issue
Block a user