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PORT=3000
NODE_ENV=development
SUPABASE_URL=your_supabase_url
SUPABASE_KEY=your_supabase_key
OLLAMA_URL=http://localhost:11434
OLLAMA_MODEL=llama2
SEARXNG_URL=http://localhost:4000
SEARXNG_INSTANCES=["http://localhost:4000"]
MAX_RESULTS_PER_QUERY=50
CACHE_DURATION_HOURS=24
CACHE_DURATION_DAYS=7

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---
name: CI
on:
push:
branches: [ main ]
pull_request:
branches: [ main ]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Setup Node.js
uses: actions/setup-node@v2
with:
node-version: '18'
- name: Install dependencies
run: npm ci
- name: Run tests
run: npm test
- name: Run type check
run: npm run build

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# Node.js
node_modules/
npm-debug.log
yarn-error.log
# Build output
/.next/
/out/
/dist/
# IDE/Editor specific
.vscode/
.idea/
*.iml
# Environment variables # Environment variables
.env .env
.env.local .env.*
.env.development.local !.env.example
.env.test.local
.env.production.local
# Config files # Dependencies
config.toml node_modules/
yarn-error.log
npm-debug.log
# Log files # Build outputs
logs/ dist/
*.log build/
.next/
# Testing # IDE/Editor
/coverage/ .vscode/
.idea/
*.swp
*.swo
# Miscellaneous # OS
.DS_Store .DS_Store
Thumbs.db Thumbs.db
# Db # Logs
db.sqlite logs/
/searxng *.log
# Cache
.cache/
.npm/

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# 🚀 Perplexica - An AI-powered search engine 🔎 <!-- omit in toc --> # BizSearch
[![Discord](https://dcbadge.vercel.app/api/server/26aArMy8tT?style=flat&compact=true)](https://discord.gg/26aArMy8tT) A tool for finding and analyzing local businesses using AI-powered data extraction.
## Prerequisites
![preview](.assets/perplexica-screenshot.png?) - Node.js 16+
- Ollama (for local LLM)
## Table of Contents <!-- omit in toc --> - SearxNG instance
- [Overview](#overview)
- [Preview](#preview)
- [Features](#features)
- [Installation](#installation)
- [Getting Started with Docker (Recommended)](#getting-started-with-docker-recommended)
- [Non-Docker Installation](#non-docker-installation)
- [Ollama Connection Errors](#ollama-connection-errors)
- [Using as a Search Engine](#using-as-a-search-engine)
- [Using Perplexica's API](#using-perplexicas-api)
- [Expose Perplexica to a network](#expose-perplexica-to-network)
- [One-Click Deployment](#one-click-deployment)
- [Upcoming Features](#upcoming-features)
- [Support Us](#support-us)
- [Donations](#donations)
- [Contribution](#contribution)
- [Help and Support](#help-and-support)
## Overview
Perplexica is an open-source AI-powered searching tool or an AI-powered search engine that goes deep into the internet to find answers. Inspired by Perplexity AI, it's an open-source option that not just searches the web but understands your questions. It uses advanced machine learning algorithms like similarity searching and embeddings to refine results and provides clear answers with sources cited.
Using SearxNG to stay current and fully open source, Perplexica ensures you always get the most up-to-date information without compromising your privacy.
Want to know more about its architecture and how it works? You can read it [here](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/architecture/README.md).
## Preview
![video-preview](.assets/perplexica-preview.gif)
## Features
- **Local LLMs**: You can make use local LLMs such as Llama3 and Mixtral using Ollama.
- **Two Main Modes:**
- **Copilot Mode:** (In development) Boosts search by generating different queries to find more relevant internet sources. Like normal search instead of just using the context by SearxNG, it visits the top matches and tries to find relevant sources to the user's query directly from the page.
- **Normal Mode:** Processes your query and performs a web search.
- **Focus Modes:** Special modes to better answer specific types of questions. Perplexica currently has 6 focus modes:
- **All Mode:** Searches the entire web to find the best results.
- **Writing Assistant Mode:** Helpful for writing tasks that does not require searching the web.
- **Academic Search Mode:** Finds articles and papers, ideal for academic research.
- **YouTube Search Mode:** Finds YouTube videos based on the search query.
- **Wolfram Alpha Search Mode:** Answers queries that need calculations or data analysis using Wolfram Alpha.
- **Reddit Search Mode:** Searches Reddit for discussions and opinions related to the query.
- **Current Information:** Some search tools might give you outdated info because they use data from crawling bots and convert them into embeddings and store them in a index. Unlike them, Perplexica uses SearxNG, a metasearch engine to get the results and rerank and get the most relevant source out of it, ensuring you always get the latest information without the overhead of daily data updates.
- **API**: Integrate Perplexica into your existing applications and make use of its capibilities.
It has many more features like image and video search. Some of the planned features are mentioned in [upcoming features](#upcoming-features).
## Installation ## Installation
There are mainly 2 ways of installing Perplexica - With Docker, Without Docker. Using Docker is highly recommended. 1. Install Ollama:
```bash
# On macOS
brew install ollama
```
### Getting Started with Docker (Recommended) 2. Start Ollama:
```bash
# Start and enable on login
brew services start ollama
1. Ensure Docker is installed and running on your system. # Or run without auto-start
2. Clone the Perplexica repository: /usr/local/opt/ollama/bin/ollama serve
```
```bash 3. Pull the required model:
git clone https://github.com/ItzCrazyKns/Perplexica.git ```bash
``` ollama pull mistral
```
3. After cloning, navigate to the directory containing the project files. 4. Clone and set up the project:
```bash
git clone https://github.com/yourusername/bizsearch.git
cd bizsearch
npm install
```
4. Rename the `sample.config.toml` file to `config.toml`. For Docker setups, you need only fill in the following fields: 5. Configure environment:
```bash
cp .env.example .env
# Edit .env with your settings
```
- `OPENAI`: Your OpenAI API key. **You only need to fill this if you wish to use OpenAI's models**. 6. Start the application:
- `OLLAMA`: Your Ollama API URL. You should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Ollama on port 11434, use `http://host.docker.internal:11434`. For other ports, adjust accordingly. **You need to fill this if you wish to use Ollama's models instead of OpenAI's**. ```bash
- `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**. npm run dev
- `ANTHROPIC`: Your Anthropic API key. **You only need to fill this if you wish to use Anthropic models**. ```
**Note**: You can change these after starting Perplexica from the settings dialog. 7. Open http://localhost:3000 in your browser
- `SIMILARITY_MEASURE`: The similarity measure to use (This is filled by default; you can leave it as is if you are unsure about it.) ## Troubleshooting
5. Ensure you are in the directory containing the `docker-compose.yaml` file and execute: If Ollama fails to start:
```bash
# Stop any existing instance
brew services stop ollama
# Wait a few seconds
sleep 5
# Start again
brew services start ollama
```
```bash To verify Ollama is running:
docker compose up -d ```bash
``` curl http://localhost:11434/api/version
```
6. Wait a few minutes for the setup to complete. You can access Perplexica at http://localhost:3000 in your web browser. ## Features
**Note**: After the containers are built, you can start Perplexica directly from Docker without having to open a terminal. - Business search with location filtering
- Contact information extraction
- AI-powered data validation
- Clean, user-friendly interface
- Service health monitoring
### Non-Docker Installation ## Configuration
1. Install SearXNG and allow `JSON` format in the SearXNG settings. Key environment variables:
2. Clone the repository and rename the `sample.config.toml` file to `config.toml` in the root directory. Ensure you complete all required fields in this file. - `SEARXNG_URL`: Your SearxNG instance URL
3. Rename the `.env.example` file to `.env` in the `ui` folder and fill in all necessary fields. - `OLLAMA_URL`: Ollama API endpoint (default: http://localhost:11434)
4. After populating the configuration and environment files, run `npm i` in both the `ui` folder and the root directory. - `SUPABASE_URL`: Your Supabase project URL
5. Install the dependencies and then execute `npm run build` in both the `ui` folder and the root directory. - `SUPABASE_ANON_KEY`: Your Supabase anonymous key
6. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory. - `CACHE_DURATION_DAYS`: How long to cache results (default: 7)
**Note**: Using Docker is recommended as it simplifies the setup process, especially for managing environment variables and dependencies. ## Supabase Setup
See the [installation documentation](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/installation) for more information like exposing it your network, etc. 1. Create a new Supabase project
2. Run the SQL commands in `db/init.sql` to create the cache table
3. Copy your project URL and anon key to `.env`
### Ollama Connection Errors ## License
If you're encountering an Ollama connection error, it is likely due to the backend being unable to connect to Ollama's API. To fix this issue you can: MIT
1. **Check your Ollama API URL:** Ensure that the API URL is correctly set in the settings menu. ## Cache Management
2. **Update API URL Based on OS:**
- **Windows:** Use `http://host.docker.internal:11434` The application uses Supabase for caching search results. Cache entries expire after 7 days.
- **Mac:** Use `http://host.docker.internal:11434`
- **Linux:** Use `http://<private_ip_of_host>:11434`
Adjust the port number if you're using a different one. ### Manual Cache Cleanup
3. **Linux Users - Expose Ollama to Network:** If automatic cleanup is not available, you can manually clean up expired entries:
- Inside `/etc/systemd/system/ollama.service`, you need to add `Environment="OLLAMA_HOST=0.0.0.0"`. Then restart Ollama by `systemctl restart ollama`. For more information see [Ollama docs](https://github.com/ollama/ollama/blob/main/docs/faq.md#setting-environment-variables-on-linux) 1. Using the API:
```bash
curl -X POST http://localhost:3000/api/cleanup
```
- Ensure that the port (default is 11434) is not blocked by your firewall. 2. Using SQL:
```sql
select manual_cleanup();
```
## Using as a Search Engine ### Cache Statistics
If you wish to use Perplexica as an alternative to traditional search engines like Google or Bing, or if you want to add a shortcut for quick access from your browser's search bar, follow these steps: View cache statistics using:
```sql
1. Open your browser's settings. select * from cache_stats;
2. Navigate to the 'Search Engines' section. ```
3. Add a new site search with the following URL: `http://localhost:3000/?q=%s`. Replace `localhost` with your IP address or domain name, and `3000` with the port number if Perplexica is not hosted locally.
4. Click the add button. Now, you can use Perplexica directly from your browser's search bar.
## Using Perplexica's API
Perplexica also provides an API for developers looking to integrate its powerful search engine into their own applications. You can run searches, use multiple models and get answers to your queries.
For more details, check out the full documentation [here](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/API/SEARCH.md).
## Expose Perplexica to network
You can access Perplexica over your home network by following our networking guide [here](https://github.com/ItzCrazyKns/Perplexica/blob/master/docs/installation/NETWORKING.md).
## One-Click Deployment
[![Deploy to RepoCloud](https://d16t0pc4846x52.cloudfront.net/deploylobe.svg)](https://repocloud.io/details/?app_id=267)
## Upcoming Features
- [x] Add settings page
- [x] Adding support for local LLMs
- [x] History Saving features
- [x] Introducing various Focus Modes
- [x] Adding API support
- [x] Adding Discover
- [ ] Finalizing Copilot Mode
## Support Us
If you find Perplexica useful, consider giving us a star on GitHub. This helps more people discover Perplexica and supports the development of new features. Your support is greatly appreciated.
### Donations
We also accept donations to help sustain our project. If you would like to contribute, you can use the following options to donate. Thank you for your support!
| Ethereum |
| ----------------------------------------------------- |
| Address: `0xB025a84b2F269570Eb8D4b05DEdaA41D8525B6DD` |
## Contribution
Perplexica is built on the idea that AI and large language models should be easy for everyone to use. If you find bugs or have ideas, please share them in via GitHub Issues. For more information on contributing to Perplexica you can read the [CONTRIBUTING.md](CONTRIBUTING.md) file to learn more about Perplexica and how you can contribute to it.
## Help and Support
If you have any questions or feedback, please feel free to reach out to us. You can create an issue on GitHub or join our Discord server. There, you can connect with other users, share your experiences and reviews, and receive more personalized help. [Click here](https://discord.gg/EFwsmQDgAu) to join the Discord server. To discuss matters outside of regular support, feel free to contact me on Discord at `itzcrazykns`.
Thank you for exploring Perplexica, the AI-powered search engine designed to enhance your search experience. We are constantly working to improve Perplexica and expand its capabilities. We value your feedback and contributions which help us make Perplexica even better. Don't forget to check back for updates and new features!

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[GENERAL]
PORT = 3001 # Port to run the server on
SIMILARITY_MEASURE = "cosine" # "cosine" or "dot"
KEEP_ALIVE = "5m" # How long to keep Ollama models loaded into memory. (Instead of using -1 use "-1m")
[API_KEYS]
OPENAI = "" # OpenAI API key - sk-1234567890abcdef1234567890abcdef
GROQ = "" # Groq API key - gsk_1234567890abcdef1234567890abcdef
ANTHROPIC = "" # Anthropic API key - sk-ant-1234567890abcdef1234567890abcdef
GEMINI = "" # Gemini API key - sk-1234567890abcdef1234567890abcdef
[API_ENDPOINTS]
SEARXNG = "http://localhost:32768" # SearxNG API URL
OLLAMA = "" # Ollama API URL - http://host.docker.internal:11434

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-- Enable required extensions
create extension if not exists "uuid-ossp"; -- For UUID generation
create extension if not exists pg_cron; -- For scheduled jobs
-- Create the search_cache table
create table public.search_cache (
id uuid default uuid_generate_v4() primary key,
query text not null,
results jsonb not null,
location text not null,
category text not null,
created_at timestamp with time zone default timezone('utc'::text, now()) not null,
updated_at timestamp with time zone default timezone('utc'::text, now()) not null,
expires_at timestamp with time zone default timezone('utc'::text, now() + interval '7 days') not null
);
-- Create indexes
create index search_cache_query_idx on public.search_cache (query);
create index search_cache_location_category_idx on public.search_cache (location, category);
create index search_cache_expires_at_idx on public.search_cache (expires_at);
-- Enable RLS
alter table public.search_cache enable row level security;
-- Create policies
create policy "Allow public read access"
on public.search_cache for select
using (true);
create policy "Allow service write access"
on public.search_cache for insert
with check (true);
create policy "Allow service update access"
on public.search_cache for update
using (true)
with check (true);
create policy "Allow delete expired records"
on public.search_cache for delete
using (expires_at < now());
-- Create function to clean up expired records
create or replace function cleanup_expired_cache()
returns void
language plpgsql
security definer
as $$
begin
delete from public.search_cache
where expires_at < now();
end;
$$;
-- Create a manual cleanup function since pg_cron might not be available
create or replace function manual_cleanup()
returns void
language plpgsql
security definer
as $$
begin
delete from public.search_cache
where expires_at < now();
end;
$$;
-- Create a view for cache statistics
create or replace view cache_stats as
select
count(*) as total_entries,
count(*) filter (where expires_at < now()) as expired_entries,
count(*) filter (where expires_at >= now()) as valid_entries,
min(created_at) as oldest_entry,
max(created_at) as newest_entry,
count(distinct category) as unique_categories,
count(distinct location) as unique_locations
from public.search_cache;
-- Grant permissions to access the view
grant select on cache_stats to postgres;
-- Create table if not exists businesses
create table if not exists businesses (
id text primary key,
name text not null,
phone text,
email text,
address text,
rating numeric,
website text,
logo text,
source text,
description text,
latitude numeric,
longitude numeric,
last_updated timestamp with time zone default timezone('utc'::text, now()),
search_count integer default 1,
created_at timestamp with time zone default timezone('utc'::text, now())
);
-- Create indexes for common queries
create index if not exists businesses_name_idx on businesses (name);
create index if not exists businesses_rating_idx on businesses (rating desc);
create index if not exists businesses_search_count_idx on businesses (search_count desc);
create index if not exists businesses_last_updated_idx on businesses (last_updated desc);
-- Create tables if they don't exist
CREATE TABLE IF NOT EXISTS businesses (
id TEXT PRIMARY KEY,
name TEXT NOT NULL,
phone TEXT,
email TEXT,
address TEXT,
rating INTEGER,
website TEXT,
logo TEXT,
source TEXT,
description TEXT,
location JSONB,
place_id TEXT,
photos TEXT[],
opening_hours TEXT[],
distance JSONB,
last_updated TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
search_count INTEGER DEFAULT 0
);
CREATE TABLE IF NOT EXISTS searches (
id SERIAL PRIMARY KEY,
query TEXT NOT NULL,
location TEXT NOT NULL,
timestamp TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
results_count INTEGER
);
CREATE TABLE IF NOT EXISTS cache (
key TEXT PRIMARY KEY,
value JSONB NOT NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
expires_at TIMESTAMP WITH TIME ZONE NOT NULL
);
-- Create indexes
CREATE INDEX IF NOT EXISTS idx_businesses_location ON businesses USING GIN (location);
CREATE INDEX IF NOT EXISTS idx_businesses_search ON businesses USING GIN (to_tsvector('english', name || ' ' || COALESCE(description, '')));
CREATE INDEX IF NOT EXISTS idx_cache_expires ON cache (expires_at);
-- Set up RLS (Row Level Security)
ALTER TABLE businesses ENABLE ROW LEVEL SECURITY;
ALTER TABLE searches ENABLE ROW LEVEL SECURITY;
ALTER TABLE cache ENABLE ROW LEVEL SECURITY;
-- Create policies
CREATE POLICY "Allow anonymous select" ON businesses FOR SELECT USING (true);
CREATE POLICY "Allow service role insert" ON businesses FOR INSERT WITH CHECK (true);
CREATE POLICY "Allow service role update" ON businesses FOR UPDATE USING (true);
CREATE POLICY "Allow anonymous select" ON searches FOR SELECT USING (true);
CREATE POLICY "Allow service role insert" ON searches FOR INSERT WITH CHECK (true);
CREATE POLICY "Allow anonymous select" ON cache FOR SELECT USING (true);
CREATE POLICY "Allow service role all" ON cache USING (true);
-- Add place_id column to businesses table if it doesn't exist
ALTER TABLE businesses ADD COLUMN IF NOT EXISTS place_id TEXT;
CREATE INDEX IF NOT EXISTS idx_businesses_place_id ON businesses(place_id);
-- Create a unique constraint on place_id (excluding nulls)
CREATE UNIQUE INDEX IF NOT EXISTS idx_businesses_place_id_unique
ON businesses(place_id)
WHERE place_id IS NOT NULL;
CREATE TABLE IF NOT EXISTS businesses (
id TEXT PRIMARY KEY,
name TEXT NOT NULL,
address TEXT NOT NULL,
phone TEXT NOT NULL,
description TEXT NOT NULL,
website TEXT,
source TEXT NOT NULL,
rating REAL,
lat REAL,
lng REAL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
CREATE INDEX IF NOT EXISTS idx_businesses_source ON businesses(source);
CREATE INDEX IF NOT EXISTS idx_businesses_rating ON businesses(rating);

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-- Create the businesses table
create table businesses (
id uuid primary key,
name text not null,
phone text,
address text,
city text,
state text,
zip text,
category text[],
rating numeric,
review_count integer,
license text,
services text[],
hours jsonb,
website text,
email text,
verified boolean default false,
last_updated timestamp with time zone,
search_query text,
search_location text,
search_timestamp timestamp with time zone,
reliability_score integer,
-- Create a composite index for deduplication
constraint unique_business unique (phone, address)
);
-- Create indexes for common queries
create index idx_business_location on businesses (city, state);
create index idx_business_category on businesses using gin (category);
create index idx_search_query on businesses using gin (search_query gin_trgm_ops);
create index idx_search_location on businesses using gin (search_location gin_trgm_ops);
create index idx_reliability on businesses (reliability_score);
-- Enable full text search
alter table businesses add column search_vector tsvector
generated always as (
setweight(to_tsvector('english', coalesce(name, '')), 'A') ||
setweight(to_tsvector('english', coalesce(search_query, '')), 'B') ||
setweight(to_tsvector('english', coalesce(search_location, '')), 'C')
) stored;
create index idx_business_search on businesses using gin(search_vector);

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-- Check if table exists
SELECT EXISTS (
SELECT FROM information_schema.tables
WHERE table_schema = 'public'
AND table_name = 'businesses'
);
-- Check table structure
SELECT column_name, data_type, is_nullable
FROM information_schema.columns
WHERE table_schema = 'public'
AND table_name = 'businesses';
-- Check row count
SELECT COUNT(*) as count FROM businesses;

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version: '3'
services:
searxng:
image: searxng/searxng
ports:
- "4000:8080"
volumes:
- ./searxng:/etc/searxng
environment:
- INSTANCE_NAME=perplexica-searxng
- BASE_URL=http://localhost:4000/
- SEARXNG_SECRET=your_secret_key_here
restart: unless-stopped
app:
build:
context: .
dockerfile: backend.dockerfile
ports:
- "3000:3000"
environment:
- SEARXNG_URL=http://searxng:8080
volumes:
- ./config.toml:/home/perplexica/config.toml
depends_on:
- searxng

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# Ethical Web Scraping Guidelines
## Core Principles
1. **Respect Robots.txt**
- Always check and honor robots.txt directives
- Cache robots.txt to reduce server load
- Default to conservative behavior when uncertain
2. **Proper Identification**
- Use clear, identifiable User-Agent strings
- Provide contact information
- Be transparent about your purpose
3. **Rate Limiting**
- Implement conservative rate limits
- Use exponential backoff for errors
- Distribute requests over time
4. **Data Usage**
- Only collect publicly available business information
- Respect privacy and data protection laws
- Provide clear opt-out mechanisms
- Keep data accurate and up-to-date
5. **Technical Considerations**
- Cache results to minimize requests
- Handle errors gracefully
- Monitor and log access patterns
- Use structured data when available
## Implementation
1. **Request Headers**
```typescript
const headers = {
'User-Agent': 'BizSearch/1.0 (+https://bizsearch.com/about)',
'Accept': 'text/html,application/xhtml+xml',
'From': 'contact@bizsearch.com'
};
```
2. **Rate Limiting**
```typescript
const rateLimits = {
requestsPerMinute: 10,
requestsPerHour: 100,
requestsPerDomain: 20
};
```
3. **Caching**
```typescript
const cacheSettings = {
ttl: 24 * 60 * 60, // 24 hours
maxSize: 1000 // entries
};
```
## Opt-Out Process
1. Business owners can opt-out by:
- Submitting a form on our website
- Emailing opt-out@bizsearch.com
- Adding a meta tag: `<meta name="bizsearch" content="noindex">`
2. We honor opt-outs within:
- 24 hours for direct requests
- 72 hours for cached data
## Legal Compliance
1. **Data Protection**
- GDPR compliance for EU businesses
- CCPA compliance for California businesses
- Regular data audits and cleanup
2. **Attribution**
- Clear source attribution
- Last-updated timestamps
- Data accuracy disclaimers
## Best Practices
1. **Before Scraping**
- Check robots.txt
- Verify site status
- Review terms of service
- Look for API alternatives
2. **During Scraping**
- Monitor response codes
- Respect server hints
- Implement backoff strategies
- Log access patterns
3. **After Scraping**
- Verify data accuracy
- Update cache entries
- Clean up old data
- Monitor opt-out requests
## Contact
For questions or concerns about our scraping practices:
- Email: ethics@bizsearch.com
- Phone: (555) 123-4567
- Web: https://bizsearch.com/ethics

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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions
# testing
/coverage
# next.js
/.next/
/out/
# production
/build
# misc
.DS_Store
*.pem
# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*
# env files (can opt-in for committing if needed)
.env*
# vercel
.vercel
# typescript
*.tsbuildinfo
next-env.d.ts

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This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app).
## Getting Started
First, run the development server:
```bash
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
```
Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.
## Learn More
To learn more about Next.js, take a look at the following resources:
- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome!
## Deploy on Vercel
The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.

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import { dirname } from "path";
import { fileURLToPath } from "url";
import { FlatCompat } from "@eslint/eslintrc";
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const compat = new FlatCompat({
baseDirectory: __dirname,
});
const eslintConfig = [
...compat.extends("next/core-web-vitals", "next/typescript"),
];
export default eslintConfig;

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/** @type {import('next').NextConfig} */
const nextConfig = {
async rewrites() {
return [
{
source: '/api/:path*',
destination: 'http://localhost:3000/api/:path*',
},
]
}
}
module.exports = nextConfig

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import type { NextConfig } from "next";
const nextConfig: NextConfig = {
/* config options here */
};
export default nextConfig;

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{
"name": "frontend",
"version": "0.1.0",
"private": true,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start",
"lint": "next lint"
},
"dependencies": {
"@radix-ui/react-icons": "^1.3.2",
"class-variance-authority": "^0.7.1",
"clsx": "^2.1.1",
"lucide-react": "^0.469.0",
"next": "15.1.3",
"react": "^19.0.0",
"react-dom": "^19.0.0",
"tailwind-merge": "^2.6.0",
"tailwindcss-animate": "^1.0.7"
},
"devDependencies": {
"@eslint/eslintrc": "^3",
"@types/node": "^20",
"@types/react": "^19",
"@types/react-dom": "^19",
"eslint": "^9",
"eslint-config-next": "15.1.3",
"postcss": "^8",
"tailwindcss": "^3.4.1",
"typescript": "^5"
}
}

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/** @type {import('postcss-load-config').Config} */
const config = {
plugins: {
tailwindcss: {},
},
};
export default config;

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<svg fill="none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"><path fill-rule="evenodd" clip-rule="evenodd" d="M1.5 2.5h13v10a1 1 0 0 1-1 1h-11a1 1 0 0 1-1-1zM0 1h16v11.5a2.5 2.5 0 0 1-2.5 2.5h-11A2.5 2.5 0 0 1 0 12.5zm3.75 4.5a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5M7 4.75a.75.75 0 1 1-1.5 0 .75.75 0 0 1 1.5 0m1.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5" fill="#666"/></svg>

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@tailwind base;
@tailwind components;
@tailwind utilities;
@layer base {
:root {
--background: 0 0% 100%;
--foreground: 222.2 84% 4.9%;
--card: 0 0% 100%;
--card-foreground: 222.2 84% 4.9%;
--popover: 0 0% 100%;
--popover-foreground: 222.2 84% 4.9%;
--primary: 222.2 47.4% 11.2%;
--primary-foreground: 210 40% 98%;
--secondary: 210 40% 96.1%;
--secondary-foreground: 222.2 47.4% 11.2%;
--muted: 210 40% 96.1%;
--muted-foreground: 215.4 16.3% 46.9%;
--accent: 210 40% 96.1%;
--accent-foreground: 222.2 47.4% 11.2%;
--destructive: 0 84.2% 60.2%;
--destructive-foreground: 210 40% 98%;
--border: 214.3 31.8% 91.4%;
--input: 214.3 31.8% 91.4%;
--ring: 222.2 84% 4.9%;
--radius: 0.5rem;
}
.dark {
--background: 222.2 84% 4.9%;
--foreground: 210 40% 98%;
--card: 222.2 84% 4.9%;
--card-foreground: 210 40% 98%;
--popover: 222.2 84% 4.9%;
--popover-foreground: 210 40% 98%;
--primary: 210 40% 98%;
--primary-foreground: 222.2 47.4% 11.2%;
--secondary: 217.2 32.6% 17.5%;
--secondary-foreground: 210 40% 98%;
--muted: 217.2 32.6% 17.5%;
--muted-foreground: 215 20.2% 65.1%;
--accent: 217.2 32.6% 17.5%;
--accent-foreground: 210 40% 98%;
--destructive: 0 62.8% 30.6%;
--destructive-foreground: 210 40% 98%;
--border: 217.2 32.6% 17.5%;
--input: 217.2 32.6% 17.5%;
--ring: 212.7 26.8% 83.9%;
}
}
@layer base {
* {
@apply border-border;
}
body {
@apply bg-background text-foreground;
}
}

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import type { Metadata } from "next";
import { Geist, Geist_Mono } from "next/font/google";
import "./globals.css";
const geistSans = Geist({
variable: "--font-geist-sans",
subsets: ["latin"],
});
const geistMono = Geist_Mono({
variable: "--font-geist-mono",
subsets: ["latin"],
});
export const metadata: Metadata = {
title: "Create Next App",
description: "Generated by create next app",
};
export default function RootLayout({
children,
}: Readonly<{
children: React.ReactNode;
}>) {
return (
<html lang="en">
<body
className={`${geistSans.variable} ${geistMono.variable} antialiased`}
>
{children}
</body>
</html>
);
}

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'use client'
import { ServerStatus } from "@/components/server-status"
import { SearchForm } from "@/components/search-form"
import { SearchResults } from "@/components/search-results"
import { useState } from "react"
export default function Home() {
const [searchResults, setSearchResults] = useState([])
const [isSearching, setIsSearching] = useState(false)
const services = [
{ name: "Ollama", status: "running" as const },
{ name: "SearxNG", status: "running" as const },
{ name: "Supabase", status: "running" as const }
]
return (
<main className="container mx-auto p-4">
<h1 className="text-4xl font-bold text-center mb-8">Business Search</h1>
<SearchForm onSearch={setSearchResults} onSearchingChange={setIsSearching} />
<SearchResults results={searchResults} isLoading={isSearching} />
<ServerStatus services={services} />
</main>
)
}

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import { Search } from "lucide-react"
import { useState } from "react"
interface SearchFormProps {
onSearch: (results: any[]) => void;
onSearchingChange: (isSearching: boolean) => void;
}
export function SearchForm({ onSearch, onSearchingChange }: SearchFormProps) {
const [query, setQuery] = useState("")
const [error, setError] = useState<string | null>(null)
const handleSearch = async (e: React.FormEvent) => {
e.preventDefault()
if (!query.trim()) return
setError(null)
onSearchingChange(true)
try {
const response = await fetch("/api/search", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({ query: query.trim() }),
})
if (!response.ok) {
throw new Error("Search failed")
}
const data = await response.json()
onSearch(data.results || [])
} catch (error) {
console.error("Search error:", error)
onSearch([])
setError("Failed to perform search. Please try again.")
} finally {
onSearchingChange(false)
}
}
return (
<div className="w-full max-w-2xl mx-auto mt-8 mb-12">
<div className="flex flex-col gap-4">
<div className="flex flex-col gap-2">
<label htmlFor="search" className="text-lg font-medium text-center">
Find local businesses
</label>
<form onSubmit={handleSearch} className="relative">
<input
id="search"
type="text"
value={query}
onChange={(e) => setQuery(e.target.value)}
placeholder="e.g. plumbers in Denver, CO"
className="w-full px-4 py-3 text-lg rounded-lg border border-border bg-background focus:outline-none focus:ring-2 focus:ring-primary"
/>
<button
type="submit"
disabled={!query.trim()}
className="absolute right-2 top-1/2 -translate-y-1/2 p-3 rounded-md bg-primary text-primary-foreground hover:bg-primary/90 transition-colors disabled:opacity-50 disabled:cursor-not-allowed"
aria-label="Search"
>
<Search className="h-5 w-5" />
</button>
</form>
{error && (
<p className="text-sm text-destructive text-center">{error}</p>
)}
<p className="text-sm text-muted-foreground text-center mt-2">
Try searching for: restaurants, dentists, electricians, etc.
</p>
</div>
</div>
</div>
)
}

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interface Business {
id: string;
name: string;
address: string;
phone: string;
website?: string;
email?: string;
description?: string;
rating?: number;
}
interface SearchResultsProps {
results: Business[];
isLoading: boolean;
}
export function SearchResults({ results, isLoading }: SearchResultsProps) {
if (isLoading) {
return (
<div className="w-full max-w-4xl mx-auto mt-8">
<div className="animate-pulse space-y-4">
{[...Array(3)].map((_, i) => (
<div key={i} className="bg-muted rounded-lg p-6">
<div className="h-4 bg-muted-foreground/20 rounded w-3/4 mb-4"></div>
<div className="h-3 bg-muted-foreground/20 rounded w-1/2"></div>
</div>
))}
</div>
</div>
)
}
if (!results.length) {
return null
}
return (
<div className="w-full max-w-4xl mx-auto mt-8">
<div className="space-y-4">
{results.map((business) => (
<div key={business.id} className="bg-card rounded-lg p-6 shadow-sm">
<h3 className="text-xl font-semibold mb-2">{business.name}</h3>
{business.address && (
<p className="text-muted-foreground mb-2">{business.address}</p>
)}
<div className="flex flex-wrap gap-4 text-sm">
{business.phone && (
<a
href={`tel:${business.phone}`}
className="text-primary hover:underline"
>
{business.phone}
</a>
)}
{business.website && (
<a
href={business.website}
target="_blank"
rel="noopener noreferrer"
className="text-primary hover:underline"
>
Visit Website
</a>
)}
</div>
{business.description && (
<p className="mt-4 text-sm text-muted-foreground">
{business.description}
</p>
)}
</div>
))}
</div>
</div>
)
}

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import { CheckCircle2, XCircle, AlertCircle } from "lucide-react"
import { Alert, AlertDescription, AlertTitle } from "@/components/ui/alert"
interface ServiceStatus {
name: string
status: "running" | "error" | "warning"
}
interface ServerStatusProps {
services: ServiceStatus[]
error?: string
}
export function ServerStatus({ services, error }: ServerStatusProps) {
if (error) {
return (
<Alert variant="destructive" className="max-w-md mx-auto mt-4">
<XCircle className="h-4 w-4" />
<AlertTitle>Server Error</AlertTitle>
<AlertDescription>{error}</AlertDescription>
</Alert>
)
}
return (
<div className="space-y-4 max-w-md mx-auto mt-4">
<h2 className="text-xl font-semibold text-center mb-6">Service Status</h2>
<div className="space-y-3">
{services.map((service) => (
<Alert
key={service.name}
variant={service.status === "error" ? "destructive" : "default"}
className="flex items-center justify-between hover:bg-accent/50 transition-colors"
>
<div className="flex items-center gap-3">
{service.status === "running" && (
<CheckCircle2 className="h-5 w-5 text-green-500 shrink-0" />
)}
{service.status === "error" && (
<XCircle className="h-5 w-5 text-red-500 shrink-0" />
)}
{service.status === "warning" && (
<AlertCircle className="h-5 w-5 text-yellow-500 shrink-0" />
)}
<AlertTitle className="font-medium">{service.name}</AlertTitle>
</div>
<span className={`text-sm ${
service.status === "running" ? "text-green-600" :
service.status === "error" ? "text-red-600" :
"text-yellow-600"
}`}>
{service.status.charAt(0).toUpperCase() + service.status.slice(1)}
</span>
</Alert>
))}
</div>
</div>
)
}

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import * as React from "react"
import { cva, type VariantProps } from "class-variance-authority"
import { cn } from "@/lib/utils"
const alertVariants = cva(
"relative w-full rounded-lg border p-4 [&>svg~*]:pl-7 [&>svg+div]:translate-y-[-3px] [&>svg]:absolute [&>svg]:left-4 [&>svg]:top-4 [&>svg]:text-foreground",
{
variants: {
variant: {
default: "bg-background text-foreground",
destructive:
"border-destructive/50 text-destructive dark:border-destructive [&>svg]:text-destructive",
},
},
defaultVariants: {
variant: "default",
},
}
)
const Alert = React.forwardRef<
HTMLDivElement,
React.HTMLAttributes<HTMLDivElement> & VariantProps<typeof alertVariants>
>(({ className, variant, ...props }, ref) => (
<div
ref={ref}
role="alert"
className={cn(alertVariants({ variant }), className)}
{...props}
/>
))
Alert.displayName = "Alert"
const AlertTitle = React.forwardRef<
HTMLParagraphElement,
React.HTMLAttributes<HTMLHeadingElement>
>(({ className, ...props }, ref) => (
<h5
ref={ref}
className={cn("mb-1 font-medium leading-none tracking-tight", className)}
{...props}
/>
))
AlertTitle.displayName = "AlertTitle"
const AlertDescription = React.forwardRef<
HTMLParagraphElement,
React.HTMLAttributes<HTMLParagraphElement>
>(({ className, ...props }, ref) => (
<div
ref={ref}
className={cn("text-sm [&_p]:leading-relaxed", className)}
{...props}
/>
))
AlertDescription.displayName = "AlertDescription"
export { Alert, AlertTitle, AlertDescription }

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import { type ClassValue, clsx } from "clsx"
import { twMerge } from "tailwind-merge"
export function cn(...inputs: ClassValue[]) {
return twMerge(clsx(inputs))
}

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import type { Config } from "tailwindcss";
const config: Config = {
darkMode: ["class"],
content: [
'./pages/**/*.{ts,tsx}',
'./components/**/*.{ts,tsx}',
'./app/**/*.{ts,tsx}',
'./src/**/*.{ts,tsx}',
],
theme: {
container: {
center: true,
padding: "2rem",
screens: {
"2xl": "1400px",
},
},
extend: {
colors: {
border: "hsl(var(--border))",
input: "hsl(var(--input))",
ring: "hsl(var(--ring))",
background: "hsl(var(--background))",
foreground: "hsl(var(--foreground))",
primary: {
DEFAULT: "hsl(var(--primary))",
foreground: "hsl(var(--primary-foreground))",
},
secondary: {
DEFAULT: "hsl(var(--secondary))",
foreground: "hsl(var(--secondary-foreground))",
},
destructive: {
DEFAULT: "hsl(var(--destructive))",
foreground: "hsl(var(--destructive-foreground))",
},
muted: {
DEFAULT: "hsl(var(--muted))",
foreground: "hsl(var(--muted-foreground))",
},
accent: {
DEFAULT: "hsl(var(--accent))",
foreground: "hsl(var(--accent-foreground))",
},
popover: {
DEFAULT: "hsl(var(--popover))",
foreground: "hsl(var(--popover-foreground))",
},
card: {
DEFAULT: "hsl(var(--card))",
foreground: "hsl(var(--card-foreground))",
},
},
borderRadius: {
lg: "var(--radius)",
md: "calc(var(--radius) - 2px)",
sm: "calc(var(--radius) - 4px)",
},
keyframes: {
"accordion-down": {
from: { height: "0" },
to: { height: "var(--radix-accordion-content-height)" },
},
"accordion-up": {
from: { height: "var(--radix-accordion-content-height)" },
to: { height: "0" },
},
},
animation: {
"accordion-down": "accordion-down 0.2s ease-out",
"accordion-up": "accordion-up 0.2s ease-out",
},
},
},
plugins: [require("tailwindcss-animate")],
}
export default config;

27
frontend/tsconfig.json Normal file
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@ -0,0 +1,27 @@
{
"compilerOptions": {
"target": "ES2017",
"lib": ["dom", "dom.iterable", "esnext"],
"allowJs": true,
"skipLibCheck": true,
"strict": true,
"noEmit": true,
"esModuleInterop": true,
"module": "esnext",
"moduleResolution": "bundler",
"resolveJsonModule": true,
"isolatedModules": true,
"jsx": "preserve",
"incremental": true,
"plugins": [
{
"name": "next"
}
],
"paths": {
"@/*": ["./src/*"]
}
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
"exclude": ["node_modules"]
}

17
jest.config.js Normal file
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@ -0,0 +1,17 @@
module.exports = {
preset: 'ts-jest',
testEnvironment: 'node',
roots: ['<rootDir>/src'],
testMatch: ['**/__tests__/**/*.ts', '**/?(*.)+(spec|test).ts'],
transform: {
'^.+\\.ts$': 'ts-jest',
},
moduleFileExtensions: ['ts', 'js', 'json', 'node'],
collectCoverageFrom: [
'src/**/*.{ts,js}',
'!src/tests/**',
'!**/node_modules/**',
],
coverageDirectory: 'coverage',
setupFilesAfterEnv: ['<rootDir>/src/tests/setup.ts'],
};

14318
package-lock.json generated Normal file

File diff suppressed because it is too large Load diff

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@ -4,50 +4,77 @@
"license": "MIT", "license": "MIT",
"author": "ItzCrazyKns", "author": "ItzCrazyKns",
"scripts": { "scripts": {
"start": "npm run db:push && node dist/app.js", "start": "ts-node src/index.ts",
"build": "tsc", "build": "tsc",
"dev": "nodemon --ignore uploads/ src/app.ts ", "dev": "nodemon src/index.ts",
"db:push": "drizzle-kit push sqlite", "db:push": "drizzle-kit push sqlite",
"format": "prettier . --check", "format": "prettier . --check",
"format:write": "prettier . --write" "format:write": "prettier . --write",
"test:search": "ts-node src/tests/testSearch.ts",
"test:supabase": "ts-node src/tests/supabaseTest.ts",
"test:deepseek": "ts-node src/tests/testDeepseek.ts",
"test:ollama": "ts-node src/tests/testOllama.ts",
"test": "jest",
"test:watch": "jest --watch",
"test:coverage": "jest --coverage",
"build:css": "tailwindcss -i ./src/styles/input.css -o ./public/styles/output.css",
"watch:css": "tailwindcss -i ./src/styles/input.css -o ./public/styles/output.css --watch"
}, },
"devDependencies": { "devDependencies": {
"@testing-library/jest-dom": "^6.1.5",
"@types/better-sqlite3": "^7.6.10", "@types/better-sqlite3": "^7.6.10",
"@types/cors": "^2.8.17", "@types/cors": "^2.8.17",
"@types/express": "^4.17.21", "@types/express": "^4.17.21",
"@types/html-to-text": "^9.0.4", "@types/html-to-text": "^9.0.4",
"@types/jest": "^29.5.11",
"@types/multer": "^1.4.12", "@types/multer": "^1.4.12",
"@types/node-fetch": "^2.6.12",
"@types/pdf-parse": "^1.1.4", "@types/pdf-parse": "^1.1.4",
"@types/readable-stream": "^4.0.11", "@types/readable-stream": "^4.0.11",
"@types/supertest": "^6.0.2",
"@types/ws": "^8.5.12", "@types/ws": "^8.5.12",
"autoprefixer": "^10.4.20",
"drizzle-kit": "^0.22.7", "drizzle-kit": "^0.22.7",
"jest": "^29.7.0",
"nodemon": "^3.1.0", "nodemon": "^3.1.0",
"postcss": "^8.4.49",
"prettier": "^3.2.5", "prettier": "^3.2.5",
"supertest": "^7.0.0",
"tailwindcss": "^3.4.17",
"ts-jest": "^29.1.1",
"ts-node": "^10.9.2", "ts-node": "^10.9.2",
"typescript": "^5.4.3" "typescript": "^5.4.3"
}, },
"dependencies": { "dependencies": {
"@huggingface/transformers": "latest",
"@iarna/toml": "^2.2.5", "@iarna/toml": "^2.2.5",
"@langchain/anthropic": "^0.2.3", "@langchain/anthropic": "^0.2.3",
"@langchain/community": "^0.2.16", "@langchain/community": "^0.2.16",
"@langchain/openai": "^0.0.25",
"@langchain/google-genai": "^0.0.23", "@langchain/google-genai": "^0.0.23",
"@langchain/openai": "^0.0.25",
"@shadcn/ui": "^0.0.4",
"@supabase/supabase-js": "^2.47.10",
"@xenova/transformers": "^2.17.1", "@xenova/transformers": "^2.17.1",
"axios": "^1.6.8", "axios": "^1.6.8",
"better-sqlite3": "^11.0.0", "better-sqlite3": "^11.7.0",
"cheerio": "^1.0.0",
"compute-cosine-similarity": "^1.1.0", "compute-cosine-similarity": "^1.1.0",
"compute-dot": "^1.1.0", "compute-dot": "^1.1.0",
"cors": "^2.8.5", "cors": "^2.8.5",
"dotenv": "^16.4.5", "dotenv": "^16.4.7",
"drizzle-orm": "^0.31.2", "drizzle-orm": "^0.31.2",
"express": "^4.19.2", "express": "^4.19.2",
"html-to-text": "^9.0.5", "html-to-text": "^9.0.5",
"langchain": "^0.1.30", "langchain": "^0.1.30",
"mammoth": "^1.8.0", "mammoth": "^1.8.0",
"multer": "^1.4.5-lts.1", "multer": "^1.4.5-lts.1",
"node-fetch": "^2.7.0",
"pdf-parse": "^1.1.1", "pdf-parse": "^1.1.1",
"robots-parser": "^3.0.1",
"tesseract.js": "^4.1.4",
"torch": "latest",
"winston": "^3.13.0", "winston": "^3.13.0",
"ws": "^8.17.1", "ws": "^8.17.1",
"zod": "^3.22.4" "zod": "^3.24.1"
} }
} }

6
postcss.config.js Normal file
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@ -0,0 +1,6 @@
module.exports = {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
}

214
public/index.html Normal file
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@ -0,0 +1,214 @@
<!DOCTYPE html>
<html lang="en" class="h-full bg-gray-50">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>OffMarket Pro - Business Search</title>
<link href="/styles/output.css" rel="stylesheet">
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap" rel="stylesheet">
</head>
<body class="min-h-full">
<div class="bg-white">
<!-- Navigation -->
<nav class="bg-white shadow-sm">
<div class="mx-auto max-w-7xl px-4 sm:px-6 lg:px-8">
<div class="flex h-16 justify-between items-center">
<div class="flex-shrink-0 flex items-center">
<h1 class="text-xl font-bold text-gray-900">OffMarket Pro</h1>
</div>
</div>
</div>
</nav>
<!-- Main Content -->
<main class="mx-auto max-w-7xl px-4 sm:px-6 lg:px-8 py-8">
<!-- Search Form -->
<div class="mb-8">
<h2 class="text-2xl font-bold text-gray-900 mb-6">Find Off-Market Property Services</h2>
<div class="grid grid-cols-1 gap-4 sm:grid-cols-2">
<div>
<label for="searchQuery" class="block text-sm font-medium text-gray-700">Service Type</label>
<input type="text" id="searchQuery" class="mt-1 block w-full rounded-md border-gray-300 shadow-sm focus:border-primary focus:ring-primary sm:text-sm" placeholder="e.g. plumber, electrician">
</div>
<div>
<label for="searchLocation" class="block text-sm font-medium text-gray-700">Location</label>
<input type="text" id="searchLocation" class="mt-1 block w-full rounded-md border-gray-300 shadow-sm focus:border-primary focus:ring-primary sm:text-sm" placeholder="e.g. Denver, CO">
</div>
</div>
<div class="mt-4">
<button onclick="performSearch()" class="inline-flex items-center px-4 py-2 border border-transparent text-sm font-medium rounded-md shadow-sm text-white bg-primary hover:bg-primary-hover focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-primary">
Search
</button>
</div>
</div>
<!-- Progress Indicator -->
<div id="searchProgress" class="hidden mb-8">
<div class="bg-white shadow sm:rounded-lg">
<div class="px-4 py-5 sm:p-6">
<h3 class="text-lg font-medium leading-6 text-gray-900">Search Progress</h3>
<div class="mt-4">
<div class="relative pt-1">
<div class="overflow-hidden h-2 mb-4 text-xs flex rounded bg-gray-200">
<div id="progressBar" class="shadow-none flex flex-col text-center whitespace-nowrap text-white justify-center bg-primary transition-all duration-500" style="width: 0%"></div>
</div>
<div id="progressText" class="text-sm text-gray-600"></div>
</div>
</div>
</div>
</div>
</div>
<!-- Error Display -->
<div id="errorDisplay" class="hidden mb-8">
<div class="rounded-md bg-red-50 p-4">
<div class="flex">
<div class="flex-shrink-0">
<svg class="h-5 w-5 text-red-400" viewBox="0 0 20 20" fill="currentColor">
<path fill-rule="evenodd" d="M10 18a8 8 0 100-16 8 8 0 000 16zM8.707 7.293a1 1 0 00-1.414 1.414L8.586 10l-1.293 1.293a1 1 0 101.414 1.414L10 11.414l1.293 1.293a1 1 0 001.414-1.414L11.414 10l1.293-1.293a1 1 0 00-1.414-1.414L10 8.586 8.707 7.293z" clip-rule="evenodd"/>
</svg>
</div>
<div class="ml-3">
<h3 class="text-sm font-medium text-red-800">Error</h3>
<div class="mt-2 text-sm text-red-700">
<p id="errorMessage"></p>
</div>
</div>
</div>
</div>
</div>
<!-- Results Table -->
<div id="resultsContainer" class="hidden">
<div class="bg-white shadow overflow-hidden sm:rounded-lg">
<div class="px-4 py-5 sm:px-6">
<h3 class="text-lg leading-6 font-medium text-gray-900">Search Results</h3>
</div>
<div class="border-t border-gray-200">
<div class="overflow-x-auto">
<table class="min-w-full divide-y divide-gray-200">
<thead class="bg-gray-50">
<tr>
<th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Business</th>
<th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Contact</th>
<th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Actions</th>
</tr>
</thead>
<tbody id="resultsBody" class="bg-white divide-y divide-gray-200">
<!-- Results will be inserted here -->
</tbody>
</table>
</div>
</div>
</div>
</div>
</main>
</div>
<script>
class SearchProgress {
constructor() {
this.progressBar = document.getElementById('progressBar');
this.progressText = document.getElementById('progressText');
this.container = document.getElementById('searchProgress');
}
show() {
this.container.classList.remove('hidden');
this.setProgress(0, 'Starting search...');
}
hide() {
this.container.classList.add('hidden');
}
setProgress(percent, message) {
this.progressBar.style.width = `${percent}%`;
this.progressText.textContent = message;
}
showError(message) {
this.setProgress(100, `Error: ${message}`);
this.progressBar.classList.remove('bg-primary');
this.progressBar.classList.add('bg-red-500');
}
}
async function performSearch() {
const query = document.getElementById('searchQuery').value;
const location = document.getElementById('searchLocation').value;
if (!query || !location) {
showError('Please enter both search query and location');
return;
}
const progress = new SearchProgress();
progress.show();
try {
document.getElementById('errorDisplay').classList.add('hidden');
document.getElementById('resultsContainer').classList.add('hidden');
const response = await fetch('/api/search', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ query, location })
});
const data = await response.json();
if (!data.success) {
throw new Error(data.error || 'Search failed');
}
displayResults(data.results);
progress.hide();
} catch (error) {
console.error('Search error:', error);
progress.showError(error.message);
showError(error.message);
}
}
function showError(message) {
const errorDisplay = document.getElementById('errorDisplay');
const errorMessage = document.getElementById('errorMessage');
errorMessage.textContent = message;
errorDisplay.classList.remove('hidden');
}
function displayResults(results) {
const container = document.getElementById('resultsContainer');
const tbody = document.getElementById('resultsBody');
tbody.innerHTML = results.map(business => `
<tr>
<td class="px-6 py-4">
<div class="text-sm font-medium text-gray-900">${business.name}</div>
<div class="text-sm text-gray-500">${business.description}</div>
</td>
<td class="px-6 py-4">
<div class="text-sm text-gray-900">${business.address}</div>
<div class="text-sm text-gray-500">${business.phone}</div>
</td>
<td class="px-6 py-4">
${business.website ?
`<a href="${business.website}" target="_blank"
class="inline-flex items-center px-3 py-2 border border-transparent text-sm leading-4 font-medium rounded-md text-white bg-primary hover:bg-primary-hover focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-primary">
Visit Website
</a>` :
'<span class="text-sm text-gray-500">No website available</span>'
}
</td>
</tr>
`).join('');
container.classList.remove('hidden');
}
</script>
</body>
</html>

View file

@ -11,7 +11,49 @@ search:
server: server:
secret_key: 'a2fb23f1b02e6ee83875b09826990de0f6bd908b6638e8c10277d415f6ab852b' # Is overwritten by ${SEARXNG_SECRET} secret_key: 'a2fb23f1b02e6ee83875b09826990de0f6bd908b6638e8c10277d415f6ab852b' # Is overwritten by ${SEARXNG_SECRET}
port: 8080
bind_address: "0.0.0.0"
base_url: http://localhost:8080/
engines: engines:
- name: wolframalpha - name: wolframalpha
disabled: false disabled: false
- name: google
engine: google
shortcut: g
disabled: false
- name: bing
engine: bing
shortcut: b
disabled: false
- name: duckduckgo
engine: duckduckgo
shortcut: d
disabled: false
- name: yelp
engine: yelp
shortcut: y
disabled: false
ui:
static_path: ""
templates_path: ""
default_theme: simple
default_locale: en
results_on_new_tab: false
outgoing:
request_timeout: 6.0
max_request_timeout: 10.0
pool_connections: 100
pool_maxsize: 10
enable_http2: true
server:
limiter: false
image_proxy: false
http_protocol_version: "1.0"

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@ -1,38 +1,16 @@
import { startWebSocketServer } from './websocket';
import express from 'express'; import express from 'express';
import cors from 'cors'; import cors from 'cors';
import http from 'http'; import searchRoutes from './routes/search';
import routes from './routes'; import businessRoutes from './routes/business';
import { getPort } from './config';
import logger from './utils/logger';
const port = getPort();
const app = express(); const app = express();
const server = http.createServer(app);
const corsOptions = { // Middleware
origin: '*', app.use(cors());
};
app.use(cors(corsOptions));
app.use(express.json()); app.use(express.json());
app.use('/api', routes); // Routes
app.get('/api', (_, res) => { app.use('/api/search', searchRoutes);
res.status(200).json({ status: 'ok' }); app.use('/api/business', businessRoutes);
});
server.listen(port, () => { export default app;
logger.info(`Server is running on port ${port}`);
});
startWebSocketServer(server);
process.on('uncaughtException', (err, origin) => {
logger.error(`Uncaught Exception at ${origin}: ${err}`);
});
process.on('unhandledRejection', (reason, promise) => {
logger.error(`Unhandled Rejection at: ${promise}, reason: ${reason}`);
});

View file

@ -77,3 +77,16 @@ export const updateConfig = (config: RecursivePartial<Config>) => {
toml.stringify(config), toml.stringify(config),
); );
}; };
export const config = {
ollama: {
url: process.env.OLLAMA_URL || 'http://localhost:11434',
model: process.env.OLLAMA_MODEL || 'mistral',
options: {
temperature: 0.1,
top_p: 0.9,
timeout: 30000 // 30 seconds timeout
}
},
// ... other config
};

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import dotenv from 'dotenv';
// Load environment variables
dotenv.config();
// Environment configuration
const env = {
// Supabase Configuration
SUPABASE_URL: process.env.SUPABASE_URL || '',
SUPABASE_KEY: process.env.SUPABASE_KEY || '',
// Server Configuration
PORT: parseInt(process.env.PORT || '3001', 10),
NODE_ENV: process.env.NODE_ENV || 'development',
// Search Configuration
MAX_RESULTS_PER_QUERY: parseInt(process.env.MAX_RESULTS_PER_QUERY || '50', 10),
CACHE_DURATION_HOURS: parseInt(process.env.CACHE_DURATION_HOURS || '24', 10),
CACHE_DURATION_DAYS: parseInt(process.env.CACHE_DURATION_DAYS || '7', 10),
// SearxNG Configuration
SEARXNG_URL: process.env.SEARXNG_URL || 'http://localhost:4000',
// Ollama Configuration
OLLAMA_URL: process.env.OLLAMA_URL || 'http://localhost:11434',
OLLAMA_MODEL: process.env.OLLAMA_MODEL || 'deepseek-coder:6.7b',
// Hugging Face Configuration
HUGGING_FACE_API_KEY: process.env.HUGGING_FACE_API_KEY || ''
};
// Validate required environment variables
const requiredEnvVars = ['SUPABASE_URL', 'SUPABASE_KEY', 'SEARXNG_URL'];
for (const envVar of requiredEnvVars) {
if (!env[envVar as keyof typeof env]) {
throw new Error(`Missing required environment variable: ${envVar}`);
}
}
export { env };

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import dotenv from 'dotenv';
import path from 'path';
// Load .env file
dotenv.config({ path: path.resolve(__dirname, '../../.env') });
export interface Config {
supabase: {
url: string;
anonKey: string;
};
server: {
port: number;
nodeEnv: string;
};
search: {
maxResultsPerQuery: number;
cacheDurationHours: number;
searxngUrl?: string;
};
rateLimit: {
windowMs: number;
maxRequests: number;
};
security: {
corsOrigin: string;
jwtSecret: string;
};
proxy?: {
http?: string;
https?: string;
};
logging: {
level: string;
};
}
const config: Config = {
supabase: {
url: process.env.SUPABASE_URL || '',
anonKey: process.env.SUPABASE_ANON_KEY || '',
},
server: {
port: parseInt(process.env.PORT || '3000', 10),
nodeEnv: process.env.NODE_ENV || 'development',
},
search: {
maxResultsPerQuery: parseInt(process.env.MAX_RESULTS_PER_QUERY || '20', 10),
cacheDurationHours: parseInt(process.env.CACHE_DURATION_HOURS || '24', 10),
searxngUrl: process.env.SEARXNG_URL
},
rateLimit: {
windowMs: parseInt(process.env.RATE_LIMIT_WINDOW_MS || '900000', 10),
maxRequests: parseInt(process.env.RATE_LIMIT_MAX_REQUESTS || '100', 10),
},
security: {
corsOrigin: process.env.CORS_ORIGIN || 'http://localhost:3000',
jwtSecret: process.env.JWT_SECRET || 'your_jwt_secret_key',
},
logging: {
level: process.env.LOG_LEVEL || 'info',
},
};
// Validate required configuration
const validateConfig = () => {
if (!config.supabase.url) {
throw new Error('SUPABASE_URL is required');
}
if (!config.supabase.anonKey) {
throw new Error('SUPABASE_ANON_KEY is required');
}
};
validateConfig();
export { config };

24
src/index.ts Normal file
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@ -0,0 +1,24 @@
import './config/env'; // Load environment variables first
import { startServer } from './server';
import { isPortAvailable } from './utils/portCheck';
import { testConnection } from './lib/supabase';
const PORT = process.env.PORT || 3001;
const init = async () => {
if (!await isPortAvailable(PORT)) {
console.error(`Port ${PORT} is in use. Please try a different port or free up the current one.`);
process.exit(1);
}
// Test Supabase connection
const isConnected = await testConnection();
if (!isConnected) {
console.error('Failed to connect to Supabase. Please check your configuration.');
process.exit(1);
}
startServer();
};
init().catch(console.error);

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src/lib/categories.ts Normal file
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@ -0,0 +1,116 @@
export interface Category {
id: string;
name: string;
icon: string;
subcategories: SubCategory[];
}
export interface SubCategory {
id: string;
name: string;
}
export const categories: Category[] = [
{
id: 'real-estate-pros',
name: 'Real Estate Professionals',
icon: '🏢',
subcategories: [
{ id: 'wholesalers', name: 'Real Estate Wholesalers' },
{ id: 'agents', name: 'Real Estate Agents' },
{ id: 'attorneys', name: 'Real Estate Attorneys' },
{ id: 'scouts', name: 'Property Scouts' },
{ id: 'brokers', name: 'Real Estate Brokers' },
{ id: 'consultants', name: 'Real Estate Consultants' }
]
},
{
id: 'legal-title',
name: 'Legal & Title Services',
icon: '⚖️',
subcategories: [
{ id: 'title-companies', name: 'Title Companies' },
{ id: 'closing-attorneys', name: 'Closing Attorneys' },
{ id: 'zoning-consultants', name: 'Zoning Consultants' },
{ id: 'probate-specialists', name: 'Probate Specialists' },
{ id: 'eviction-specialists', name: 'Eviction Specialists' }
]
},
{
id: 'financial',
name: 'Financial Services',
icon: '💰',
subcategories: [
{ id: 'hard-money', name: 'Hard Money Lenders' },
{ id: 'private-equity', name: 'Private Equity Investors' },
{ id: 'mortgage-brokers', name: 'Mortgage Brokers' },
{ id: 'tax-advisors', name: 'Tax Advisors' },
{ id: 'appraisers', name: 'Appraisers' }
]
},
{
id: 'contractors',
name: 'Specialist Contractors',
icon: '🔨',
subcategories: [
{ id: 'general', name: 'General Contractors' },
{ id: 'plumbers', name: 'Plumbers' },
{ id: 'electricians', name: 'Electricians' },
{ id: 'hvac', name: 'HVAC Technicians' },
{ id: 'roofers', name: 'Roofers' },
{ id: 'foundation', name: 'Foundation Specialists' },
{ id: 'asbestos', name: 'Asbestos Removal' },
{ id: 'mold', name: 'Mold Remediation' }
]
},
{
id: 'property-services',
name: 'Property Services',
icon: '🏠',
subcategories: [
{ id: 'surveyors', name: 'Surveyors' },
{ id: 'inspectors', name: 'Inspectors' },
{ id: 'property-managers', name: 'Property Managers' },
{ id: 'environmental', name: 'Environmental Consultants' },
{ id: 'junk-removal', name: 'Junk Removal Services' },
{ id: 'cleaning', name: 'Property Cleaning' }
]
},
{
id: 'marketing',
name: 'Marketing & Lead Gen',
icon: '📢',
subcategories: [
{ id: 'direct-mail', name: 'Direct Mail Services' },
{ id: 'social-media', name: 'Social Media Marketing' },
{ id: 'seo', name: 'SEO Specialists' },
{ id: 'ppc', name: 'PPC Advertising' },
{ id: 'lead-gen', name: 'Lead Generation' },
{ id: 'skip-tracing', name: 'Skip Tracing Services' }
]
},
{
id: 'data-tech',
name: 'Data & Technology',
icon: '💻',
subcategories: [
{ id: 'data-providers', name: 'Property Data Providers' },
{ id: 'crm', name: 'CRM Systems' },
{ id: 'valuation', name: 'Valuation Tools' },
{ id: 'virtual-tours', name: 'Virtual Tour Services' },
{ id: 'automation', name: 'Automation Tools' }
]
},
{
id: 'specialty',
name: 'Specialty Services',
icon: '🎯',
subcategories: [
{ id: 'auction', name: 'Auction Companies' },
{ id: 'relocation', name: 'Relocation Services' },
{ id: 'staging', name: 'Home Staging' },
{ id: 'photography', name: 'Real Estate Photography' },
{ id: 'virtual-assistant', name: 'Virtual Assistants' }
]
}
];

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import { Database } from 'better-sqlite3';
import path from 'path';
interface OptOutEntry {
domain: string;
email: string;
reason?: string;
timestamp: Date;
}
export class OptOutDatabase {
private db: Database;
constructor() {
this.db = new Database(path.join(__dirname, '../../../data/optout.db'));
this.initializeDatabase();
}
private initializeDatabase() {
this.db.exec(`
CREATE TABLE IF NOT EXISTS opt_outs (
domain TEXT PRIMARY KEY,
email TEXT NOT NULL,
reason TEXT,
timestamp DATETIME DEFAULT CURRENT_TIMESTAMP
);
CREATE INDEX IF NOT EXISTS idx_domain ON opt_outs(domain);
`);
}
async addOptOut(entry: OptOutEntry): Promise<void> {
const stmt = this.db.prepare(
'INSERT OR REPLACE INTO opt_outs (domain, email, reason, timestamp) VALUES (?, ?, ?, ?)'
);
stmt.run(entry.domain, entry.email, entry.reason, entry.timestamp.toISOString());
}
isOptedOut(domain: string): boolean {
const stmt = this.db.prepare('SELECT 1 FROM opt_outs WHERE domain = ?');
return stmt.get(domain) !== undefined;
}
removeOptOut(domain: string): void {
const stmt = this.db.prepare('DELETE FROM opt_outs WHERE domain = ?');
stmt.run(domain);
}
getOptOutList(): OptOutEntry[] {
return this.db.prepare('SELECT * FROM opt_outs').all();
}
}

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import { createClient } from '@supabase/supabase-js';
import { BusinessData } from '../searxng';
import { env } from '../../config/env';
// Create the Supabase client with validated environment variables
export const supabase = createClient(
env.supabase.url,
env.supabase.anonKey,
{
auth: {
persistSession: false // Since this is a server environment
}
}
);
// Define the cache record type
export interface CacheRecord {
id: string;
query: string;
results: BusinessData[];
location: string;
category: string;
created_at: string;
updated_at: string;
expires_at: string;
}
// Export database helper functions
export async function getCacheEntry(
category: string,
location: string
): Promise<CacheRecord | null> {
const { data, error } = await supabase
.from('search_cache')
.select('*')
.eq('category', category.toLowerCase())
.eq('location', location.toLowerCase())
.gt('expires_at', new Date().toISOString())
.order('created_at', { ascending: false })
.limit(1)
.single();
if (error) {
console.error('Cache lookup failed:', error);
return null;
}
return data;
}
export async function saveCacheEntry(
category: string,
location: string,
results: BusinessData[],
expiresInDays: number = 7
): Promise<void> {
const expiresAt = new Date();
expiresAt.setDate(expiresAt.getDate() + expiresInDays);
const { error } = await supabase
.from('search_cache')
.insert({
query: `${category} in ${location}`,
category: category.toLowerCase(),
location: location.toLowerCase(),
results,
expires_at: expiresAt.toISOString()
});
if (error) {
console.error('Failed to save cache entry:', error);
throw error;
}
}

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import axios from 'axios';
import * as cheerio from 'cheerio';
import { Cache } from './utils/cache';
import { RateLimiter } from './utils/rateLimiter';
import robotsParser from 'robots-parser';
interface ScrapingResult {
emails: string[];
phones: string[];
addresses: string[];
socialLinks: string[];
source: string;
timestamp: Date;
attribution: string;
}
export class EmailScraper {
private cache: Cache<ScrapingResult>;
private rateLimiter: RateLimiter;
private robotsCache = new Map<string, any>();
constructor(private options = {
timeout: 5000,
cacheTTL: 60,
rateLimit: { windowMs: 60000, maxRequests: 10 }, // More conservative rate limiting
userAgent: 'BizSearch/1.0 (+https://your-domain.com/about) - Business Directory Service'
}) {
this.cache = new Cache<ScrapingResult>(options.cacheTTL);
this.rateLimiter = new RateLimiter(options.rateLimit.windowMs, options.rateLimit.maxRequests);
}
private async checkRobotsPermission(url: string): Promise<boolean> {
try {
const { protocol, host } = new URL(url);
const robotsUrl = `${protocol}//${host}/robots.txt`;
let parser = this.robotsCache.get(host);
if (!parser) {
const response = await axios.get(robotsUrl);
parser = robotsParser(robotsUrl, response.data);
this.robotsCache.set(host, parser);
}
return parser.isAllowed(url, this.options.userAgent);
} catch (error) {
console.warn(`Could not check robots.txt for ${url}:`, error);
return true; // Assume allowed if robots.txt is unavailable
}
}
async scrapeEmails(url: string): Promise<ScrapingResult> {
// Check cache first
const cached = this.cache.get(url);
if (cached) return cached;
// Check robots.txt
const allowed = await this.checkRobotsPermission(url);
if (!allowed) {
console.log(`Respecting robots.txt disallow for ${url}`);
return {
emails: [],
phones: [],
addresses: [],
socialLinks: [],
source: url,
timestamp: new Date(),
attribution: 'Restricted by robots.txt'
};
}
// Wait for rate limiting slot
await this.rateLimiter.waitForSlot();
try {
const response = await axios.get(url, {
timeout: this.options.timeout,
headers: {
'User-Agent': this.options.userAgent,
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
}
});
// Check for noindex meta tag
const $ = cheerio.load(response.data);
if ($('meta[name="robots"][content*="noindex"]').length > 0) {
return {
emails: [],
phones: [],
addresses: [],
socialLinks: [],
source: url,
timestamp: new Date(),
attribution: 'Respecting noindex directive'
};
}
// Only extract contact information from public contact pages or structured data
const isContactPage = /contact|about/i.test(url) ||
$('h1, h2').text().toLowerCase().includes('contact');
const result = {
emails: new Set<string>(),
phones: new Set<string>(),
addresses: new Set<string>(),
socialLinks: new Set<string>(),
source: url,
timestamp: new Date(),
attribution: `Data from public business listing at ${new URL(url).hostname}`
};
// Extract from structured data (Schema.org)
$('script[type="application/ld+json"]').each((_, element) => {
try {
const data = JSON.parse($(element).html() || '{}');
if (data['@type'] === 'LocalBusiness' || data['@type'] === 'Organization') {
if (data.email) result.emails.add(data.email.toLowerCase());
if (data.telephone) result.phones.add(this.formatPhoneNumber(data.telephone));
if (data.address) {
const fullAddress = this.formatAddress(data.address);
if (fullAddress) result.addresses.add(fullAddress);
}
}
} catch (e) {
console.error('Error parsing JSON-LD:', e);
}
});
// Only scrape additional info if it's a contact page
if (isContactPage) {
// Extract clearly marked contact information
$('[itemprop="email"], .contact-email, .email').each((_, element) => {
const email = $(element).text().trim();
if (this.isValidEmail(email)) {
result.emails.add(email.toLowerCase());
}
});
$('[itemprop="telephone"], .phone, .contact-phone').each((_, element) => {
const phone = $(element).text().trim();
const formatted = this.formatPhoneNumber(phone);
if (formatted) result.phones.add(formatted);
});
}
const finalResult = {
...result,
emails: Array.from(result.emails),
phones: Array.from(result.phones),
addresses: Array.from(result.addresses),
socialLinks: Array.from(result.socialLinks)
};
this.cache.set(url, finalResult);
return finalResult;
} catch (error) {
console.error(`Failed to scrape ${url}:`, error);
return {
emails: [],
phones: [],
addresses: [],
socialLinks: [],
source: url,
timestamp: new Date(),
attribution: 'Error accessing page'
};
}
}
private isValidEmail(email: string): boolean {
return /^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$/.test(email);
}
private formatPhoneNumber(phone: string): string {
const digits = phone.replace(/\D/g, '');
if (digits.length === 10) {
return `(${digits.slice(0,3)}) ${digits.slice(3,6)}-${digits.slice(6)}`;
}
return phone;
}
private formatAddress(address: any): string | null {
if (typeof address === 'string') return address;
if (typeof address === 'object') {
const parts = [
address.streetAddress,
address.addressLocality,
address.addressRegion,
address.postalCode
].filter(Boolean);
if (parts.length > 0) return parts.join(', ');
}
return null;
}
}

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import { Business, SearchParams } from '../../../types/business';
import { WebScraperProvider } from './webScraper';
export class BusinessProvider {
private scraper: WebScraperProvider;
constructor() {
this.scraper = new WebScraperProvider();
}
async search(params: SearchParams): Promise<Business[]> {
return this.scraper.search(params);
}
async getDetails(businessId: string): Promise<Business | null> {
// Implement detailed business lookup using stored data or additional scraping
return null;
}
}

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import { Business, SearchParams } from '../../../types/business';
import { searchWeb } from '../search'; // This is Perplexica's existing search function
import { parseHTML } from '../utils/parser';
export class WebScraperProvider {
async search(params: SearchParams): Promise<Business[]> {
const searchQueries = this.generateQueries(params);
const businesses: Business[] = [];
for (const query of searchQueries) {
// Use Perplexica's existing search functionality
const results = await searchWeb(query, {
maxResults: 20,
type: 'general' // or 'news' depending on what we want
});
for (const result of results) {
try {
const html = await fetch(result.url).then(res => res.text());
const businessData = await this.extractBusinessData(html, result.url);
if (businessData) {
businesses.push(businessData);
}
} catch (error) {
console.error(`Failed to extract data from ${result.url}:`, error);
}
}
}
return this.deduplicateBusinesses(businesses);
}
private generateQueries(params: SearchParams): string[] {
const { location, category } = params;
return [
`${category} in ${location}`,
`${category} business ${location}`,
`best ${category} near ${location}`,
`${category} services ${location} reviews`
];
}
private async extractBusinessData(html: string, sourceUrl: string): Promise<Business | null> {
const $ = parseHTML(html);
// Different extraction logic based on source
if (sourceUrl.includes('yelp.com')) {
return this.extractYelpData($);
} else if (sourceUrl.includes('yellowpages.com')) {
return this.extractYellowPagesData($);
}
// ... other source-specific extractors
return null;
}
private extractYelpData($: any): Business | null {
try {
return {
id: crypto.randomUUID(),
name: $('.business-name').text().trim(),
phone: $('.phone-number').text().trim(),
address: $('.address').text().trim(),
city: $('.city').text().trim(),
state: $('.state').text().trim(),
zip: $('.zip').text().trim(),
category: $('.category-str-list').text().split(',').map(s => s.trim()),
rating: parseFloat($('.rating').text()),
reviewCount: parseInt($('.review-count').text()),
services: $('.services-list').text().split(',').map(s => s.trim()),
hours: this.extractHours($),
website: $('.website-link').attr('href'),
verified: false,
lastUpdated: new Date()
};
} catch (error) {
return null;
}
}
private deduplicateBusinesses(businesses: Business[]): Business[] {
// Group by phone number and address to identify duplicates
const uniqueBusinesses = new Map<string, Business>();
for (const business of businesses) {
const key = `${business.phone}-${business.address}`.toLowerCase();
if (!uniqueBusinesses.has(key)) {
uniqueBusinesses.set(key, business);
} else {
// Merge data if we have additional information
const existing = uniqueBusinesses.get(key)!;
uniqueBusinesses.set(key, this.mergeBusinessData(existing, business));
}
}
return Array.from(uniqueBusinesses.values());
}
private mergeBusinessData(existing: Business, newData: Business): Business {
return {
...existing,
services: [...new Set([...existing.services, ...newData.services])],
rating: (existing.rating + newData.rating) / 2,
reviewCount: existing.reviewCount + newData.reviewCount,
// Keep the most complete data for other fields
website: existing.website || newData.website,
email: existing.email || newData.email,
hours: existing.hours || newData.hours
};
}
}

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import axios from 'axios';
import { config } from '../config';
interface SearchOptions {
maxResults?: number;
type?: 'general' | 'news';
engines?: string[];
}
interface SearchResult {
url: string;
title: string;
content: string;
score?: number;
}
export async function searchWeb(
query: string,
options: SearchOptions = {}
): Promise<SearchResult[]> {
const {
maxResults = 20,
type = 'general',
engines = ['google', 'bing', 'duckduckgo']
} = options;
try {
const response = await axios.get(`${config.search.searxngUrl || process.env.SEARXNG_URL}/search`, {
params: {
q: query,
format: 'json',
categories: type,
engines: engines.join(','),
limit: maxResults
}
});
if (!response.data || !response.data.results) {
console.error('Invalid response from SearxNG:', response.data);
return [];
}
return response.data.results.map((result: any) => ({
url: result.url,
title: result.title,
content: result.content || result.snippet || '',
score: result.score
}));
} catch (error) {
console.error('Search failed:', error);
throw error;
}
}

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@ -1,47 +1,313 @@
import axios from 'axios'; import axios from 'axios';
import { getSearxngApiEndpoint } from '../config'; import * as cheerio from 'cheerio';
import { createWorker } from 'tesseract.js';
import { env } from '../config/env';
import { OllamaService } from './services/ollamaService';
import { BusinessData } from './types';
import { db } from './services/databaseService';
import { generateBusinessId } from './utils';
import { extractContactFromHtml, extractCleanAddress } from './utils/scraper';
import { GeocodingService } from './services/geocodingService';
import { cleanAddress, formatPhoneNumber, cleanEmail, cleanDescription } from './utils/dataCleanup';
import { CleanupService } from './services/cleanupService';
interface SearxngSearchOptions { // Define interfaces used only in this file
categories?: string[]; interface SearchResult {
engines?: string[];
language?: string;
pageno?: number;
}
interface SearxngSearchResult {
title: string;
url: string; url: string;
img_src?: string; title: string;
thumbnail_src?: string; content: string;
thumbnail?: string; phone?: string;
content?: string; email?: string;
author?: string; address?: string;
iframe_src?: string; website?: string;
rating?: number;
coordinates?: {
lat: number;
lng: number;
};
} }
export const searchSearxng = async ( interface ContactInfo {
phone?: string;
email?: string;
address?: string;
description?: string;
openingHours?: string[];
}
// Export the main search function
export async function searchBusinesses(
query: string, query: string,
opts?: SearxngSearchOptions, options: { onProgress?: (status: string, progress: number) => void } = {}
) => { ): Promise<BusinessData[]> {
const searxngURL = getSearxngApiEndpoint(); try {
console.log('Processing search query:', query);
const url = new URL(`${searxngURL}/search?format=json`); const [searchTerm, location] = query.split(' in ').map(s => s.trim());
url.searchParams.append('q', query); if (!searchTerm || !location) {
throw new Error('Invalid search query format. Use: "search term in location"');
if (opts) { }
Object.keys(opts).forEach((key) => {
if (Array.isArray(opts[key])) { options.onProgress?.('Checking cache', 0);
url.searchParams.append(key, opts[key].join(','));
return; // Check cache first
const cacheKey = `search:${searchTerm}:${location}`;
let results = await db.getFromCache(cacheKey);
if (!results) {
// Check database for existing businesses
console.log('Searching database for:', searchTerm, 'in', location);
const existingBusinesses = await db.searchBusinesses(searchTerm, location);
// Start search immediately
console.log('Starting web search');
const searchPromise = performSearch(searchTerm, location, options);
if (existingBusinesses.length > 0) {
console.log(`Found ${existingBusinesses.length} existing businesses`);
options.onProgress?.('Retrieved from database', 50);
}
// Wait for new results
const newResults = await searchPromise;
console.log(`Got ${newResults.length} new results from search`);
// Merge results, removing duplicates by ID
const allResults = [...existingBusinesses];
for (const result of newResults) {
if (!allResults.some(b => b.id === result.id)) {
allResults.push(result);
}
}
console.log(`Total unique results: ${allResults.length}`);
// Cache combined results
await db.saveToCache(cacheKey, allResults, env.cache.durationHours * 60 * 60 * 1000);
console.log(`Returning ${allResults.length} total results (${existingBusinesses.length} existing + ${newResults.length} new)`);
results = allResults;
}
// Clean all results using LLM
options.onProgress?.('Cleaning data', 75);
const cleanedResults = await CleanupService.cleanBusinessRecords(results);
options.onProgress?.('Search complete', 100);
return cleanedResults;
} catch (error) {
console.error('Search error:', error);
return [];
}
}
async function performSearch(
searchTerm: string,
location: string,
options: any
): Promise<BusinessData[]> {
const queries = [
searchTerm + ' ' + location,
searchTerm + ' business near ' + location,
searchTerm + ' services ' + location,
'local ' + searchTerm + ' ' + location
];
options.onProgress?.('Searching multiple sources', 25);
let allResults: SearchResult[] = [];
const seenUrls = new Set<string>();
for (const q of queries) {
try {
const response = await axios.get(`${env.searxng.currentUrl}/search`, {
params: {
q,
format: 'json',
engines: 'google,google_maps',
language: 'en-US',
time_range: '',
safesearch: 1
} }
url.searchParams.append(key, opts[key]);
}); });
if (response.data?.results) {
// Deduplicate results
const newResults = response.data.results.filter((result: SearchResult) => {
if (seenUrls.has(result.url)) {
return false;
}
seenUrls.add(result.url);
return true;
});
console.log(`Found ${newResults.length} unique results from ${response.data.results[0]?.engine}`);
allResults = allResults.concat(newResults);
}
} catch (error) {
console.error(`Search failed for query "${q}":`, error);
}
} }
const res = await axios.get(url.toString()); options.onProgress?.('Processing results', 50);
const results: SearxngSearchResult[] = res.data.results; const filteredResults = allResults.filter(isValidBusinessResult);
const suggestions: string[] = res.data.suggestions; const processedResults = await processResults(filteredResults, location);
return { results, suggestions }; // Save results to database
}; for (const result of processedResults) {
await db.saveBusiness(result).catch(console.error);
}
options.onProgress?.('Search complete', 100);
return processedResults;
}
// Add other necessary functions (isValidBusinessResult, processResults, etc.)
function isValidBusinessResult(result: SearchResult): boolean {
// Skip listing/directory pages and search results
const skipPatterns = [
'tripadvisor.com',
'yelp.com',
'opentable.com',
'restaurants-for-sale',
'guide.michelin.com',
'denver.org',
'/blog/',
'/maps/',
'search?',
'features/',
'/lists/',
'reddit.com',
'eater.com'
];
if (skipPatterns.some(pattern => result.url.toLowerCase().includes(pattern))) {
console.log(`Skipping listing page: ${result.url}`);
return false;
}
// Must have a title
if (!result.title || result.title.length < 2) {
return false;
}
// Skip results that look like articles or lists
const articlePatterns = [
'Best',
'Top',
'Guide',
'Where to',
'Welcome to',
'Updated',
'Near',
'Restaurants in'
];
if (articlePatterns.some(pattern => result.title.includes(pattern))) {
console.log(`Skipping article: ${result.title}`);
return false;
}
// Only accept results that look like actual business pages
const businessPatterns = [
'menu',
'reservation',
'location',
'contact',
'about-us',
'home'
];
const hasBusinessPattern = businessPatterns.some(pattern =>
result.url.toLowerCase().includes(pattern) ||
result.content.toLowerCase().includes(pattern)
);
if (!hasBusinessPattern) {
console.log(`Skipping non-business page: ${result.url}`);
return false;
}
return true;
}
async function processResults(results: SearchResult[], location: string): Promise<BusinessData[]> {
const processedResults: BusinessData[] = [];
// Get coordinates for the location
const locationGeo = await GeocodingService.geocode(location);
const defaultCoords = locationGeo || { lat: 39.7392, lng: -104.9903 };
for (const result of results) {
try {
// Extract contact info from webpage
const contactInfo = await extractContactFromHtml(result.url);
// Create initial business record
const business: BusinessData = {
id: generateBusinessId(result),
name: cleanBusinessName(result.title),
phone: result.phone || contactInfo.phone || '',
email: result.email || contactInfo.email || '',
address: result.address || contactInfo.address || '',
rating: result.rating || 0,
website: result.website || result.url || '',
logo: '',
source: 'web',
description: result.content || contactInfo.description || '',
location: defaultCoords,
openingHours: contactInfo.openingHours
};
// Clean up the record using LLM
const cleanedBusiness = await CleanupService.cleanBusinessRecord(business);
// Get coordinates for cleaned address
if (cleanedBusiness.address) {
const addressGeo = await GeocodingService.geocode(cleanedBusiness.address);
if (addressGeo) {
cleanedBusiness.location = addressGeo;
}
}
// Only add if we have at least a name and either phone or address
if (cleanedBusiness.name && (cleanedBusiness.phone || cleanedBusiness.address)) {
processedResults.push(cleanedBusiness);
}
} catch (error) {
console.error(`Error processing result ${result.title}:`, error);
}
}
return processedResults;
}
// Helper functions
function cleanBusinessName(name: string): string {
// Remove common suffixes and prefixes
const cleanName = name
.replace(/^(The|A|An)\s+/i, '')
.replace(/\s+(-||—|:).*$/, '')
.replace(/\s*\([^)]*\)/g, '')
.trim();
return cleanName;
}
async function getLocationCoordinates(address: string): Promise<{lat: number, lng: number}> {
// Implement geocoding here
// For now, return default coordinates for Denver
return { lat: 39.7392, lng: -104.9903 };
}
async function searchAndUpdateInBackground(searchTerm: string, location: string) {
try {
const results = await performSearch(searchTerm, location, {});
console.log(`Updated ${results.length} businesses in background`);
} catch (error) {
console.error('Background search error:', error);
}
}
// ... rest of the file remains the same

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import axios from 'axios';
import * as cheerio from 'cheerio';
import { Cache } from '../utils/cache';
import { RateLimiter } from '../utils/rateLimiter';
interface CrawlResult {
mainContent: string;
contactInfo: string;
aboutInfo: string;
structuredData: any;
}
export class BusinessCrawler {
private cache: Cache<CrawlResult>;
private rateLimiter: RateLimiter;
constructor() {
this.cache = new Cache<CrawlResult>(60); // 1 hour cache
this.rateLimiter = new RateLimiter();
}
async crawlBusinessSite(url: string): Promise<CrawlResult> {
// Check cache first
const cached = this.cache.get(url);
if (cached) return cached;
await this.rateLimiter.waitForSlot();
try {
const mainPage = await this.fetchPage(url);
const $ = cheerio.load(mainPage);
// Get all important URLs
const contactUrl = this.findContactPage($, url);
const aboutUrl = this.findAboutPage($, url);
// Crawl additional pages
const [contactPage, aboutPage] = await Promise.all([
contactUrl ? this.fetchPage(contactUrl) : '',
aboutUrl ? this.fetchPage(aboutUrl) : ''
]);
// Extract structured data
const structuredData = this.extractStructuredData($);
const result = {
mainContent: $('body').text(),
contactInfo: contactPage,
aboutInfo: aboutPage,
structuredData
};
this.cache.set(url, result);
return result;
} catch (error) {
console.error(`Failed to crawl ${url}:`, error);
return {
mainContent: '',
contactInfo: '',
aboutInfo: '',
structuredData: {}
};
}
}
private async fetchPage(url: string): Promise<string> {
try {
const response = await axios.get(url, {
timeout: 10000,
headers: {
'User-Agent': 'Mozilla/5.0 (compatible; BizSearch/1.0; +http://localhost:3000/about)',
}
});
return response.data;
} catch (error) {
console.error(`Failed to fetch ${url}:`, error);
return '';
}
}
private findContactPage($: cheerio.CheerioAPI, baseUrl: string): string | null {
const contactLinks = $('a[href*="contact"], a:contains("Contact")');
if (contactLinks.length > 0) {
const href = contactLinks.first().attr('href');
return href ? new URL(href, baseUrl).toString() : null;
}
return null;
}
private findAboutPage($: cheerio.CheerioAPI, baseUrl: string): string | null {
const aboutLinks = $('a[href*="about"], a:contains("About")');
if (aboutLinks.length > 0) {
const href = aboutLinks.first().attr('href');
return href ? new URL(href, baseUrl).toString() : null;
}
return null;
}
private extractStructuredData($: cheerio.CheerioAPI): any {
const structuredData: any[] = [];
$('script[type="application/ld+json"]').each((_, element) => {
try {
const data = JSON.parse($(element).html() || '{}');
structuredData.push(data);
} catch (error) {
console.error('Failed to parse structured data:', error);
}
});
return structuredData;
}
}

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import { supabase } from '../supabase';
import { BusinessData } from '../searxng';
export class CacheService {
static async getCachedResults(category: string, location: string): Promise<BusinessData[] | null> {
try {
const { data, error } = await supabase
.from('search_cache')
.select('results')
.eq('category', category.toLowerCase())
.eq('location', location.toLowerCase())
.gt('expires_at', new Date().toISOString())
.order('created_at', { ascending: false })
.limit(1)
.single();
if (error) throw error;
return data ? data.results : null;
} catch (error) {
console.error('Cache lookup failed:', error);
return null;
}
}
static async cacheResults(
category: string,
location: string,
results: BusinessData[],
expiresInDays: number = 7
): Promise<void> {
try {
const expiresAt = new Date();
expiresAt.setDate(expiresAt.getDate() + expiresInDays);
const { error } = await supabase
.from('search_cache')
.insert({
query: `${category} in ${location}`,
category: category.toLowerCase(),
location: location.toLowerCase(),
results,
expires_at: expiresAt.toISOString()
});
if (error) throw error;
} catch (error) {
console.error('Failed to cache results:', error);
}
}
static async updateCache(
category: string,
location: string,
newResults: BusinessData[]
): Promise<void> {
try {
const { error } = await supabase
.from('search_cache')
.update({
results: newResults,
updated_at: new Date().toISOString()
})
.eq('category', category.toLowerCase())
.eq('location', location.toLowerCase());
if (error) throw error;
} catch (error) {
console.error('Failed to update cache:', error);
}
}
}

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import { DeepSeekService } from './deepseekService';
import { Business } from '../types';
import { db } from './databaseService';
// Constants for validation and scoring
const BATCH_SIZE = 3; // Process businesses in small batches to avoid overwhelming LLM
const LLM_TIMEOUT = 30000; // 30 second timeout for LLM requests
const MIN_CONFIDENCE_SCORE = 0.7; // Minimum score required to cache results
const VALID_EMAIL_REGEX = /^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$/;
const VALID_PHONE_REGEX = /^\(\d{3}\) \d{3}-\d{4}$/;
const VALID_ADDRESS_REGEX = /^\d+.*(?:street|st|avenue|ave|road|rd|boulevard|blvd|lane|ln|drive|dr|court|ct|circle|cir|way|parkway|pkwy|place|pl),?\s+[a-z ]+,\s*[a-z]{2}\s+\d{5}$/i;
export class CleanupService {
/**
* Attempts to clean business data using LLM with timeout protection.
* Falls back to original data if LLM fails or times out.
*/
private static async cleanWithLLM(prompt: string, originalBusiness: Business): Promise<string> {
try {
const timeoutPromise = new Promise((_, reject) => {
setTimeout(() => reject(new Error('LLM timeout')), LLM_TIMEOUT);
});
const llmPromise = DeepSeekService.chat([{
role: 'user',
content: prompt
}]);
const response = await Promise.race([llmPromise, timeoutPromise]);
return (response as string).trim();
} catch (error) {
console.error('LLM cleanup error:', error);
// On timeout, return the original values
return `
Address: ${originalBusiness.address}
Phone: ${originalBusiness.phone}
Email: ${originalBusiness.email}
Description: ${originalBusiness.description}
`;
}
}
/**
* Calculates a confidence score (0-1) for the cleaned business data.
* Score is based on:
* - Valid email format (0.25)
* - Valid phone format (0.25)
* - Valid address format (0.25)
* - Description quality (0.25)
*/
private static calculateConfidenceScore(business: Business): number {
let score = 0;
// Valid email adds 0.25
if (business.email && VALID_EMAIL_REGEX.test(business.email)) {
score += 0.25;
}
// Valid phone adds 0.25
if (business.phone && VALID_PHONE_REGEX.test(business.phone)) {
score += 0.25;
}
// Valid address adds 0.25
if (business.address && VALID_ADDRESS_REGEX.test(business.address)) {
score += 0.25;
}
// Description quality checks (0.25 max)
if (business.description) {
// Length check (0.1)
if (business.description.length > 30 && business.description.length < 200) {
score += 0.1;
}
// Relevance check (0.1)
const businessType = this.getBusinessType(business.name);
if (business.description.toLowerCase().includes(businessType)) {
score += 0.1;
}
// No HTML/markdown (0.05)
if (!/[<>[\]()]/.test(business.description)) {
score += 0.05;
}
}
return score;
}
/**
* Determines the type of business based on name keywords.
* Used for validating and generating descriptions.
*/
private static getBusinessType(name: string): string {
const types = [
'restaurant', 'plumber', 'electrician', 'cafe', 'bar',
'salon', 'shop', 'store', 'service'
];
const nameLower = name.toLowerCase();
return types.find(type => nameLower.includes(type)) || 'business';
}
/**
* Parses LLM response into structured business data.
* Expects format: "field: value" for each line.
*/
private static parseResponse(response: string): Partial<Business> {
const cleaned: Partial<Business> = {};
const lines = response.split('\n');
for (const line of lines) {
const [field, ...values] = line.split(':');
const value = values.join(':').trim();
switch (field.toLowerCase().trim()) {
case 'address':
cleaned.address = value;
break;
case 'phone':
cleaned.phone = value;
break;
case 'email':
cleaned.email = value;
break;
case 'description':
cleaned.description = value;
break;
}
}
return cleaned;
}
/**
* Applies validation rules and cleaning to each field.
* - Standardizes formats
* - Removes invalid data
* - Ensures consistent formatting
*/
private static validateAndClean(business: Business): Business {
const cleaned = { ...business };
// Email validation and cleaning
if (cleaned.email) {
cleaned.email = cleaned.email
.toLowerCase()
.replace(/\[|\]|\(mailto:.*?\)/g, '')
.replace(/^\d+-\d+/, '')
.trim();
if (!VALID_EMAIL_REGEX.test(cleaned.email) ||
['none', 'n/a', 'union office', ''].includes(cleaned.email.toLowerCase())) {
cleaned.email = '';
}
}
// Phone validation and cleaning
if (cleaned.phone) {
const digits = cleaned.phone.replace(/\D/g, '');
if (digits.length === 10) {
cleaned.phone = `(${digits.slice(0,3)}) ${digits.slice(3,6)}-${digits.slice(6)}`;
} else {
cleaned.phone = '';
}
}
// Address validation and cleaning
if (cleaned.address) {
cleaned.address = cleaned.address
.replace(/^.*?(?=\d|[A-Z])/s, '')
.replace(/^(Sure!.*?:|The business.*?:|.*?address.*?:)(?:\s*\\n)*\s*/si, '')
.replace(/\s+/g, ' ')
.trim();
// Standardize state abbreviations
cleaned.address = cleaned.address.replace(/\b(Colorado|Colo|Col)\b/gi, 'CO');
}
// Description validation and cleaning
if (cleaned.description) {
cleaned.description = cleaned.description
.replace(/\$\d+(\.\d{2})?/g, '') // Remove prices
.replace(/\b(call|email|website|click|visit)\b.*$/i, '') // Remove calls to action
.replace(/\s+/g, ' ')
.trim();
const businessType = this.getBusinessType(cleaned.name);
if (businessType !== 'business' &&
!cleaned.description.toLowerCase().includes(businessType)) {
cleaned.description = `${businessType.charAt(0).toUpperCase() + businessType.slice(1)} services in the Denver area.`;
}
}
return cleaned;
}
static async cleanBusinessRecord(business: Business): Promise<Business> {
// Check cache first
const cacheKey = `clean:${business.id}`;
const cached = await db.getFromCache(cacheKey);
if (cached) {
console.log('Using cached clean data for:', business.name);
return cached;
}
// Clean using DeepSeek
const cleaned = await DeepSeekService.cleanBusinessData(business);
const validated = this.validateAndClean({ ...business, ...cleaned });
// Only cache if confidence score is high enough
const confidence = this.calculateConfidenceScore(validated);
if (confidence >= MIN_CONFIDENCE_SCORE) {
await db.saveToCache(cacheKey, validated, 24 * 60 * 60 * 1000);
}
return validated;
}
static async cleanBusinessRecords(businesses: Business[]): Promise<Business[]> {
const cleanedBusinesses: Business[] = [];
// Process in batches
for (let i = 0; i < businesses.length; i += BATCH_SIZE) {
const batch = businesses.slice(i, i + BATCH_SIZE);
const cleanedBatch = await Promise.all(
batch.map(business => this.cleanBusinessRecord(business))
);
cleanedBusinesses.push(...cleanedBatch);
}
return cleanedBusinesses;
}
}

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import { OllamaService } from './ollamaService';
interface ValidatedBusinessData {
name: string;
phone: string;
email: string;
address: string;
description: string;
hours?: string;
isValid: boolean;
}
export class DataValidationService {
private ollama: OllamaService;
constructor() {
this.ollama = new OllamaService();
}
async validateAndCleanData(rawText: string): Promise<ValidatedBusinessData> {
try {
const prompt = `
You are a business data validation expert. Extract and validate business information from the following text.
Return ONLY a JSON object with the following format, nothing else:
{
"name": "verified business name",
"phone": "formatted phone number or N/A",
"email": "verified email address or N/A",
"address": "verified physical address or N/A",
"description": "short business description",
"hours": "business hours if available",
"isValid": boolean
}
Rules:
1. Phone numbers should be in (XXX) XXX-XXXX format
2. Addresses should be properly formatted with street, city, state, zip
3. Remove any irrelevant text from descriptions
4. Set isValid to true only if name and at least one contact method is found
5. Clean up any obvious formatting issues
6. Validate email addresses for proper format
Text to analyze:
${rawText}
`;
const response = await this.ollama.generateResponse(prompt);
try {
// Find the JSON object in the response
const jsonMatch = response.match(/\{[\s\S]*\}/);
if (!jsonMatch) {
throw new Error('No JSON found in response');
}
const result = JSON.parse(jsonMatch[0]);
return this.validateResult(result);
} catch (parseError) {
console.error('Failed to parse Ollama response:', parseError);
throw parseError;
}
} catch (error) {
console.error('Data validation failed:', error);
return {
name: 'Unknown',
phone: 'N/A',
email: 'N/A',
address: 'N/A',
description: '',
hours: '',
isValid: false
};
}
}
private validateResult(result: any): ValidatedBusinessData {
// Ensure all required fields are present
const validated: ValidatedBusinessData = {
name: this.cleanField(result.name) || 'Unknown',
phone: this.formatPhone(result.phone) || 'N/A',
email: this.cleanField(result.email) || 'N/A',
address: this.cleanField(result.address) || 'N/A',
description: this.cleanField(result.description) || '',
hours: this.cleanField(result.hours),
isValid: Boolean(result.isValid)
};
return validated;
}
private cleanField(value: any): string {
if (!value || typeof value !== 'string') return '';
return value.trim().replace(/\s+/g, ' ');
}
private formatPhone(phone: string): string {
if (!phone || phone === 'N/A') return 'N/A';
// Extract digits
const digits = phone.replace(/\D/g, '');
if (digits.length === 10) {
return `(${digits.slice(0,3)}) ${digits.slice(3,6)}-${digits.slice(6)}`;
}
return phone;
}
}

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import { createClient } from '@supabase/supabase-js';
import { Business } from '../types';
import env from '../../config/env';
interface PartialBusiness {
name: string;
address: string;
phone: string;
description: string;
website?: string;
rating?: number;
source?: string;
location?: {
lat: number;
lng: number;
};
}
export class DatabaseService {
private supabase;
constructor() {
this.supabase = createClient(env.SUPABASE_URL, env.SUPABASE_KEY);
}
async saveBusiness(business: PartialBusiness): Promise<Business> {
const { data, error } = await this.supabase
.from('businesses')
.upsert({
name: business.name,
address: business.address,
phone: business.phone,
description: business.description,
website: business.website,
source: business.source || 'deepseek',
rating: business.rating || 4.5,
location: business.location ? `(${business.location.lng},${business.location.lat})` : '(0,0)'
})
.select()
.single();
if (error) {
console.error('Error saving business:', error);
throw new Error('Failed to save business');
}
return data;
}
async findBusinessesByQuery(query: string, location: string): Promise<Business[]> {
const { data, error } = await this.supabase
.from('businesses')
.select('*')
.or(`name.ilike.%${query}%,description.ilike.%${query}%`)
.ilike('address', `%${location}%`)
.order('rating', { ascending: false });
if (error) {
console.error('Error finding businesses:', error);
throw new Error('Failed to find businesses');
}
return data || [];
}
async getBusinessById(id: string): Promise<Business | null> {
const { data, error } = await this.supabase
.from('businesses')
.select('*')
.eq('id', id)
.single();
if (error) {
console.error('Error getting business:', error);
return null;
}
return data;
}
}

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import axios from 'axios';
import EventEmitter from 'events';
import { Business } from '../types';
interface PartialBusiness {
name: string;
address: string;
phone: string;
description: string;
website?: string;
rating?: number;
}
export class DeepSeekService extends EventEmitter {
private readonly baseUrl: string;
private readonly model: string;
constructor() {
super();
this.baseUrl = process.env.OLLAMA_URL || 'http://localhost:11434';
this.model = process.env.OLLAMA_MODEL || 'deepseek-coder:6.7b';
console.log('DeepSeekService initialized with:', {
baseUrl: this.baseUrl,
model: this.model
});
}
async streamChat(messages: any[], onResult: (business: PartialBusiness) => Promise<void>): Promise<void> {
try {
console.log('\nStarting streaming chat request...');
// Enhanced system prompt with more explicit instructions
const enhancedMessages = [
{
role: "system",
content: `You are a business search assistant powered by Deepseek Coder. Your task is to generate sample business listings in JSON format.
When asked about businesses in a location, return business listings one at a time in this exact JSON format:
\`\`\`json
{
"name": "Example Plumbing Co",
"address": "123 Main St, Denver, CO 80202",
"phone": "(303) 555-0123",
"description": "Licensed plumbing contractor specializing in residential and commercial services",
"website": "https://exampleplumbing.com",
"rating": 4.8
}
\`\`\`
Important rules:
1. Return ONE business at a time in JSON format
2. Generate realistic but fictional business data
3. Use proper formatting for phone numbers and addresses
4. Include ratings from 1-5 stars (can use decimals)
5. When sorting by rating, return highest rated first
6. Make each business unique with different names, addresses, and phone numbers
7. Keep descriptions concise and professional
8. Use realistic website URLs based on business names
9. Return exactly the number of businesses requested`
},
...messages
];
console.log('Sending streaming request to Ollama with messages:', JSON.stringify(enhancedMessages, null, 2));
const response = await axios.post(`${this.baseUrl}/api/chat`, {
model: this.model,
messages: enhancedMessages,
stream: true,
temperature: 0.7,
max_tokens: 1000,
system: "You are a business search assistant that returns one business at a time in JSON format."
}, {
responseType: 'stream'
});
let currentJson = '';
response.data.on('data', async (chunk: Buffer) => {
const text = chunk.toString();
currentJson += text;
// Try to find and process complete JSON objects
try {
const business = await this.extractNextBusiness(currentJson);
if (business) {
currentJson = ''; // Reset for next business
await onResult(business);
}
} catch (error) {
// Continue collecting more data if JSON is incomplete
console.debug('Collecting more data for complete JSON');
}
});
return new Promise((resolve, reject) => {
response.data.on('end', () => resolve());
response.data.on('error', (error: Error) => reject(error));
});
} catch (error) {
console.error('\nDeepseek streaming chat error:', error);
if (error instanceof Error) {
console.error('Error stack:', error.stack);
throw new Error(`AI model streaming error: ${error.message}`);
}
throw new Error('Failed to get streaming response from AI model');
}
}
private async extractNextBusiness(text: string): Promise<PartialBusiness | null> {
// Try to find a complete JSON object
const jsonMatch = text.match(/\{[^{]*\}/);
if (!jsonMatch) return null;
try {
const jsonStr = jsonMatch[0];
const business = JSON.parse(jsonStr);
// Validate required fields
if (!business.name || !business.address || !business.phone || !business.description) {
return null;
}
return business;
} catch (e) {
return null;
}
}
async chat(messages: any[]): Promise<any> {
try {
console.log('\nStarting chat request...');
// Enhanced system prompt with more explicit instructions
const enhancedMessages = [
{
role: "system",
content: `You are a business search assistant powered by Deepseek Coder. Your task is to generate sample business listings in JSON format.
When asked about businesses in a location, return business listings in this exact JSON format, with no additional text or comments:
\`\`\`json
[
{
"name": "Example Plumbing Co",
"address": "123 Main St, Denver, CO 80202",
"phone": "(303) 555-0123",
"description": "Licensed plumbing contractor specializing in residential and commercial services",
"website": "https://exampleplumbing.com",
"rating": 4.8
}
]
\`\`\`
Important rules:
1. Return ONLY the JSON array inside code blocks - no explanations or comments
2. Generate realistic but fictional business data
3. Use proper formatting for phone numbers (e.g., "(303) 555-XXXX") and addresses
4. Include ratings from 1-5 stars (can use decimals, e.g., 4.8)
5. When sorting by rating, sort from highest to lowest rating
6. When asked for a specific number of results, always return exactly that many
7. Make each business unique with different names, addresses, and phone numbers
8. Keep descriptions concise and professional
9. Use realistic website URLs based on business names`
},
...messages
];
console.log('Sending request to Ollama with messages:', JSON.stringify(enhancedMessages, null, 2));
const response = await axios.post(`${this.baseUrl}/api/chat`, {
model: this.model,
messages: enhancedMessages,
stream: false,
temperature: 0.7,
max_tokens: 1000,
system: "You are a business search assistant that always responds with JSON data."
});
if (!response.data) {
throw new Error('Empty response from AI model');
}
console.log('\nRaw response data:', JSON.stringify(response.data, null, 2));
if (!response.data.message?.content) {
throw new Error('No content in AI model response');
}
console.log('\nParsing AI response...');
const results = await this.sanitizeJsonResponse(response.data.message.content);
console.log('Parsed results:', JSON.stringify(results, null, 2));
return results;
} catch (error) {
console.error('\nDeepseek chat error:', error);
if (error instanceof Error) {
console.error('Error stack:', error.stack);
throw new Error(`AI model error: ${error.message}`);
}
throw new Error('Failed to get response from AI model');
}
}
private async sanitizeJsonResponse(text: string): Promise<PartialBusiness[]> {
console.log('Attempting to parse response:', text);
// First try to find JSON blocks
const jsonBlockMatch = text.match(/```(?:json)?\s*([\s\S]*?)\s*```/);
if (jsonBlockMatch) {
try {
const jsonStr = jsonBlockMatch[1].trim();
console.log('Found JSON block:', jsonStr);
const parsed = JSON.parse(jsonStr);
return Array.isArray(parsed) ? parsed : [parsed];
} catch (e) {
console.error('Failed to parse JSON block:', e);
}
}
// Then try to find any JSON-like structure
const jsonPatterns = [
/\[\s*\{[\s\S]*\}\s*\]/, // Array of objects
/\{[\s\S]*\}/ // Single object
];
for (const pattern of jsonPatterns) {
const match = text.match(pattern);
if (match) {
try {
const jsonStr = match[0].trim();
console.log('Found JSON pattern:', jsonStr);
const parsed = JSON.parse(jsonStr);
return Array.isArray(parsed) ? parsed : [parsed];
} catch (e) {
console.error('Failed to parse JSON pattern:', e);
continue;
}
}
}
// If no valid JSON found, try to extract structured data
try {
const extractedData = this.extractBusinessData(text);
if (extractedData) {
console.log('Extracted business data:', extractedData);
return [extractedData];
}
} catch (e) {
console.error('Failed to extract business data:', e);
}
throw new Error('No valid JSON or business information found in response');
}
private extractBusinessData(text: string): PartialBusiness {
// Extract business information using regex patterns
const businessInfo: PartialBusiness = {
name: this.extractField(text, 'name', '[^"\\n]+') || 'Unknown Business',
address: this.extractField(text, 'address', '[^"\\n]+') || 'Address not available',
phone: this.extractField(text, 'phone', '[^"\\n]+') || 'Phone not available',
description: this.extractField(text, 'description', '[^"\\n]+') || 'No description available'
};
const website = this.extractField(text, 'website', '[^"\\n]+');
if (website) {
businessInfo.website = website;
}
const rating = this.extractField(text, 'rating', '[0-9.]+');
if (rating) {
businessInfo.rating = parseFloat(rating);
}
return businessInfo;
}
private extractField(text: string, field: string, pattern: string): string {
const regex = new RegExp(`"?${field}"?\\s*[:=]\\s*"?(${pattern})"?`, 'i');
const match = text.match(regex);
return match ? match[1].trim() : '';
}
}

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import axios from 'axios';
import { sleep } from '../utils/helpers';
interface GeocodingResult {
lat: number;
lng: number;
formattedAddress: string;
}
export class GeocodingService {
private static cache = new Map<string, GeocodingResult>();
private static lastRequestTime = 0;
private static RATE_LIMIT_MS = 1000; // 1 second between requests (Nominatim requirement)
static async geocode(address: string): Promise<GeocodingResult | null> {
// Check cache first
const cached = this.cache.get(address);
if (cached) return cached;
try {
// Rate limiting
const now = Date.now();
const timeSinceLastRequest = now - this.lastRequestTime;
if (timeSinceLastRequest < this.RATE_LIMIT_MS) {
await sleep(this.RATE_LIMIT_MS - timeSinceLastRequest);
}
this.lastRequestTime = Date.now();
const response = await axios.get(
'https://nominatim.openstreetmap.org/search',
{
params: {
q: address,
format: 'json',
limit: 1,
addressdetails: 1
},
headers: {
'User-Agent': 'BusinessFinder/1.0'
}
}
);
if (response.data?.length > 0) {
const result = response.data[0];
const geocoded = {
lat: parseFloat(result.lat),
lng: parseFloat(result.lon),
formattedAddress: result.display_name
};
// Cache the result
this.cache.set(address, geocoded);
return geocoded;
}
return null;
} catch (error) {
console.error('Geocoding error:', error);
return null;
}
}
}

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import axios from 'axios';
import { supabase } from '../supabase';
import { env } from '../../config/env';
export class HealthCheckService {
private static async checkSupabase(): Promise<boolean> {
try {
const { data, error } = await supabase.from('searches').select('count');
return !error;
} catch (error) {
console.error('Supabase health check failed:', error);
return false;
}
}
private static async checkSearx(): Promise<boolean> {
try {
const response = await axios.get(env.SEARXNG_URL);
return response.status === 200;
} catch (error) {
console.error('SearxNG health check failed:', error);
return false;
}
}
public static async checkHealth(): Promise<{
supabase: boolean;
searx: boolean;
}> {
const [supabaseHealth, searxHealth] = await Promise.all([
this.checkSupabase(),
this.checkSearx()
]);
return {
supabase: supabaseHealth,
searx: searxHealth
};
}
}

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import axios from 'axios';
import { env } from '../../config/env';
export class OllamaService {
private static readonly baseUrl = env.ollama.url;
private static readonly model = env.ollama.model;
static async complete(prompt: string): Promise<string> {
try {
const response = await axios.post(`${this.baseUrl}/api/generate`, {
model: this.model,
prompt: prompt,
stream: false
});
if (response.data?.response) {
return response.data.response;
}
throw new Error('No response from Ollama');
} catch (error) {
console.error('Ollama error:', error);
throw error;
}
}
static async chat(messages: { role: 'user' | 'assistant'; content: string }[]): Promise<string> {
try {
const response = await axios.post(`${this.baseUrl}/api/chat`, {
model: this.model,
messages: messages,
stream: false
});
if (response.data?.message?.content) {
return response.data.message.content;
}
throw new Error('No response from Ollama chat');
} catch (error) {
console.error('Ollama chat error:', error);
throw error;
}
}
}

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import EventEmitter from 'events';
import { DeepSeekService } from './deepseekService';
import { DatabaseService } from './databaseService';
import { Business } from '../types';
interface PartialBusiness {
name: string;
address: string;
phone: string;
description: string;
website?: string;
rating?: number;
source?: string;
location?: {
lat: number;
lng: number;
};
}
export class SearchService extends EventEmitter {
private deepseekService: DeepSeekService;
private databaseService: DatabaseService;
constructor() {
super();
this.deepseekService = new DeepSeekService();
this.databaseService = new DatabaseService();
this.deepseekService.on('progress', (data) => {
this.emit('progress', data);
});
}
async streamSearch(query: string, location: string, limit: number = 10): Promise<void> {
try {
// First, try to find cached results in database
const cachedResults = await this.databaseService.findBusinessesByQuery(query, location);
if (cachedResults.length > 0) {
// Emit cached results one by one
for (const result of this.sortByRating(cachedResults).slice(0, limit)) {
this.emit('result', result);
await new Promise(resolve => setTimeout(resolve, 100)); // Small delay between results
}
this.emit('complete');
return;
}
// If no cached results, use DeepSeek to generate new results
const aiResults = await this.deepseekService.streamChat([{
role: "user",
content: `Find ${query} in ${location}. You must return exactly ${limit} results in valid JSON format, sorted by rating from highest to lowest. Each result must include a rating between 1-5 stars. Do not include any comments or explanations in the JSON.`
}], async (business: PartialBusiness) => {
try {
// Extract lat/lng from address using a geocoding service
const coords = await this.geocodeAddress(business.address);
// Save to database and emit result
const savedBusiness = await this.databaseService.saveBusiness({
...business,
source: 'deepseek',
location: coords || {
lat: 39.7392, // Denver's default coordinates
lng: -104.9903
}
});
this.emit('result', savedBusiness);
} catch (error) {
console.error('Error processing business:', error);
this.emit('error', error);
}
});
this.emit('complete');
} catch (error) {
console.error('Search error:', error);
this.emit('error', error);
throw error;
}
}
async search(query: string, location: string, limit: number = 10): Promise<Business[]> {
try {
// First, try to find cached results in database
const cachedResults = await this.databaseService.findBusinessesByQuery(query, location);
if (cachedResults.length > 0) {
return this.sortByRating(cachedResults).slice(0, limit);
}
// If no cached results, use DeepSeek to generate new results
const aiResults = await this.deepseekService.chat([{
role: "user",
content: `Find ${query} in ${location}. You must return exactly ${limit} results in valid JSON format, sorted by rating from highest to lowest. Each result must include a rating between 1-5 stars. Do not include any comments or explanations in the JSON.`
}]);
// Save the results to database
const savedResults = await Promise.all(
(aiResults as PartialBusiness[]).map(async (business: PartialBusiness) => {
// Extract lat/lng from address using a geocoding service
const coords = await this.geocodeAddress(business.address);
return this.databaseService.saveBusiness({
...business,
source: 'deepseek',
location: coords || {
lat: 39.7392, // Denver's default coordinates
lng: -104.9903
}
});
})
);
return this.sortByRating(savedResults);
} catch (error) {
console.error('Search error:', error);
throw error;
}
}
private sortByRating(businesses: Business[]): Business[] {
return businesses.sort((a, b) => b.rating - a.rating);
}
private async geocodeAddress(address: string): Promise<{ lat: number; lng: number } | null> {
// TODO: Implement real geocoding service
// For now, return null to use default coordinates
return null;
}
async getBusinessById(id: string): Promise<Business | null> {
return this.databaseService.getBusinessById(id);
}
}

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import { createClient } from '@supabase/supabase-js';
import { env } from '../../config/env';
import { BusinessData } from '../searxng';
export class SupabaseService {
private supabase;
constructor() {
this.supabase = createClient(env.supabase.url, env.supabase.anonKey);
}
async upsertBusinesses(businesses: BusinessData[]): Promise<void> {
try {
console.log('Upserting businesses to Supabase:', businesses.length);
for (const business of businesses) {
try {
// Create a unique identifier based on multiple properties
const identifier = [
business.name.toLowerCase(),
business.phone?.replace(/\D/g, ''),
business.address?.toLowerCase(),
business.website?.toLowerCase()
]
.filter(Boolean) // Remove empty values
.join('_') // Join with underscore
.replace(/[^a-z0-9]/g, '_'); // Replace non-alphanumeric chars
// Log the data being inserted
console.log('Upserting business:', {
id: identifier,
name: business.name,
phone: business.phone,
email: business.email,
address: business.address,
rating: business.rating,
website: business.website,
location: business.location
});
// Check if business exists
const { data: existing, error: selectError } = await this.supabase
.from('businesses')
.select('rating, search_count')
.eq('id', identifier)
.single();
if (selectError && selectError.code !== 'PGRST116') {
console.error('Error checking existing business:', selectError);
}
// Prepare upsert data
const upsertData = {
id: identifier,
name: business.name,
phone: business.phone || null,
email: business.email || null,
address: business.address || null,
rating: existing ? Math.max(business.rating, existing.rating) : business.rating,
website: business.website || null,
logo: business.logo || null,
source: business.source || null,
description: business.description || null,
latitude: business.location?.lat || null,
longitude: business.location?.lng || null,
last_updated: new Date().toISOString(),
search_count: existing ? existing.search_count + 1 : 1
};
console.log('Upserting with data:', upsertData);
const { error: upsertError } = await this.supabase
.from('businesses')
.upsert(upsertData, {
onConflict: 'id'
});
if (upsertError) {
console.error('Error upserting business:', upsertError);
console.error('Failed business data:', upsertData);
} else {
console.log(`Successfully upserted business: ${business.name}`);
}
} catch (businessError) {
console.error('Error processing business:', business.name, businessError);
}
}
} catch (error) {
console.error('Error saving businesses to Supabase:', error);
throw error;
}
}
}

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import { createClient } from '@supabase/supabase-js';
import { env } from '../config/env';
// Validate Supabase configuration
if (!env.SUPABASE_URL || !env.SUPABASE_KEY) {
throw new Error('Missing Supabase configuration');
}
// Create Supabase client
export const supabase = createClient(
env.SUPABASE_URL,
env.SUPABASE_KEY,
{
auth: {
autoRefreshToken: true,
persistSession: true,
detectSessionInUrl: true
}
}
);
// Test connection function
export async function testConnection() {
try {
console.log('Testing Supabase connection...');
console.log('URL:', env.SUPABASE_URL);
const { data, error } = await supabase.from('searches').select('count');
if (error) throw error;
console.log('Supabase connection successful');
return true;
} catch (error) {
console.error('Supabase connection failed:', error);
return false;
}
}

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export interface Business {
id: string;
name: string;
address: string;
phone: string;
description: string;
website?: string;
source: string;
rating: number;
location: {
lat: number;
lng: number;
};
}
export type BusinessData = Business;

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import crypto from 'crypto';
interface BusinessIdentifier {
title?: string;
name?: string;
phone?: string;
address?: string;
url?: string;
website?: string;
}
export function generateBusinessId(business: BusinessIdentifier): string {
const components = [
business.title || business.name,
business.phone,
business.address,
business.url || business.website
].filter(Boolean);
const hash = crypto.createHash('md5')
.update(components.join('|'))
.digest('hex');
return `hash_${hash}`;
}
export function extractPlaceIdFromUrl(url: string): string | null {
try {
// Match patterns like:
// https://www.google.com/maps/place/.../.../data=!3m1!4b1!4m5!3m4!1s0x876c7ed0cb78d6d3:0x2cd0c4490736f7c!8m2!
// https://maps.google.com/maps?q=...&ftid=0x876c7ed0cb78d6d3:0x2cd0c4490736f7c
const placeIdRegex = /[!\/]([0-9a-f]{16}:[0-9a-f]{16})/i;
const match = url.match(placeIdRegex);
return match ? match[1] : null;
} catch (error) {
console.warn('Error extracting place ID from URL:', error);
return null;
}
}

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interface CacheItem<T> {
data: T;
timestamp: number;
}
export class Cache<T> {
private store = new Map<string, CacheItem<T>>();
private ttl: number;
constructor(ttlMinutes: number = 60) {
this.ttl = ttlMinutes * 60 * 1000;
}
set(key: string, value: T): void {
this.store.set(key, {
data: value,
timestamp: Date.now()
});
}
get(key: string): T | null {
const item = this.store.get(key);
if (!item) return null;
if (Date.now() - item.timestamp > this.ttl) {
this.store.delete(key);
return null;
}
return item.data;
}
clear(): void {
this.store.clear();
}
}

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import { Business } from '../types';
export function normalizePhoneNumber(phone: string): string {
return phone.replace(/[^\d]/g, '');
}
export function normalizeAddress(address: string): string {
// Remove common suffixes and standardize format
return address
.toLowerCase()
.replace(/(street|st\.?|avenue|ave\.?|road|rd\.?)/g, '')
.trim();
}
export function extractZipCode(text: string): string | null {
const match = text.match(/\b\d{5}(?:-\d{4})?\b/);
return match ? match[0] : null;
}
export function calculateReliabilityScore(business: Business): number {
let score = 0;
// More complete data = higher score
if (business.phone) score += 2;
if (business.website) score += 1;
if (business.email) score += 1;
if (business.hours?.length) score += 2;
if (business.services && business.services.length > 0) score += 1;
if (business.reviewCount && business.reviewCount > 10) score += 2;
return score;
}
export function cleanAddress(address: string): string {
return address
.replace(/^(Sure!|Here is |The business address( is| found in the text is)?:?\n?\s*)/i, '')
.replace(/\n/g, ' ')
.trim();
}
export function formatPhoneNumber(phone: string): string {
// Remove all non-numeric characters
const cleaned = phone.replace(/\D/g, '');
// Format as (XXX) XXX-XXXX
if (cleaned.length === 10) {
return `(${cleaned.slice(0,3)}) ${cleaned.slice(3,6)}-${cleaned.slice(6)}`;
}
// Return original if not 10 digits
return phone;
}
export function cleanEmail(email: string): string {
// Remove phone numbers from email
return email
.replace(/\d{3}-\d{4}/, '')
.replace(/\d{10}/, '')
.trim();
}
export function cleanDescription(description: string): string {
return description
.replace(/^(Description:|About:|Info:)/i, '')
.replace(/\s+/g, ' ')
.trim();
}

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export function sleep(ms: number): Promise<void> {
return new Promise(resolve => setTimeout(resolve, ms));
}
export function cleanText(text: string): string {
return text
.replace(/\s+/g, ' ')
.replace(/[^\w\s-.,]/g, '')
.trim();
}
export function isValidPhone(phone: string): boolean {
return /^\+?[\d-.()\s]{10,}$/.test(phone);
}
export function isValidEmail(email: string): boolean {
return /^[^\s@]+@[^\s@]+\.[^\s@]+$/.test(email);
}

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export class RateLimiter {
private timestamps: number[] = [];
private readonly windowMs: number;
private readonly maxRequests: number;
constructor(windowMs: number = 60000, maxRequests: number = 30) {
this.windowMs = windowMs;
this.maxRequests = maxRequests;
}
async waitForSlot(): Promise<void> {
const now = Date.now();
this.timestamps = this.timestamps.filter(time => now - time < this.windowMs);
if (this.timestamps.length >= this.maxRequests) {
const oldestRequest = this.timestamps[0];
const waitTime = this.windowMs - (now - oldestRequest);
await new Promise(resolve => setTimeout(resolve, waitTime));
}
this.timestamps.push(now);
}
}

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import axios from 'axios';
import * as cheerio from 'cheerio';
import { OllamaService } from '../services/ollamaService';
import { sleep } from './helpers';
const RATE_LIMIT_MS = 1000; // 1 second between requests
let lastRequestTime = 0;
async function rateLimitedRequest(url: string) {
const now = Date.now();
const timeSinceLastRequest = now - lastRequestTime;
if (timeSinceLastRequest < RATE_LIMIT_MS) {
await sleep(RATE_LIMIT_MS - timeSinceLastRequest);
}
lastRequestTime = Date.now();
return axios.get(url, {
timeout: 5000,
headers: {
'User-Agent': 'Mozilla/5.0 (compatible; BusinessFinder/1.0; +http://example.com/bot)',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
'Accept-Language': 'en-US,en;q=0.5'
}
});
}
export interface ContactInfo {
phone?: string;
email?: string;
address?: string;
description?: string;
openingHours?: string[];
}
export async function extractContactFromHtml(url: string): Promise<ContactInfo> {
try {
const response = await rateLimitedRequest(url);
const $ = cheerio.load(response.data);
// Extract structured data if available
const structuredData = $('script[type="application/ld+json"]')
.map((_, el) => {
try {
return JSON.parse($(el).html() || '');
} catch {
return null;
}
})
.get()
.filter(Boolean);
// Look for LocalBusiness or Restaurant schema
const businessData = structuredData.find(data =>
data['@type'] === 'LocalBusiness' ||
data['@type'] === 'Restaurant'
);
if (businessData) {
return {
phone: businessData.telephone,
email: businessData.email,
address: businessData.address?.streetAddress,
description: businessData.description,
openingHours: businessData.openingHours
};
}
// Fallback to regular HTML parsing
return {
phone: findPhone($),
email: findEmail($),
address: findAddress($),
description: $('meta[name="description"]').attr('content'),
openingHours: findOpeningHours($)
};
} catch (error) {
console.warn(`Error extracting contact info from ${url}:`, error);
return {};
}
}
export async function extractCleanAddress(text: string, location: string): Promise<string> {
try {
const ollama = new OllamaService();
const prompt = `
Extract a business address from this text. The business should be in or near ${location}.
Only return the address, nothing else. If no valid address is found, return an empty string.
Text: ${text}
`;
const response = await OllamaService.complete(prompt);
return response.trim();
} catch (error) {
console.warn('Error extracting address:', error);
return '';
}
}
// Helper functions
function findPhone($: cheerio.CheerioAPI): string | undefined {
// Common phone patterns
const phonePatterns = [
/\b\(?([0-9]{3})\)?[-. ]?([0-9]{3})[-. ]?([0-9]{4})\b/,
/\b(?:Phone|Tel|Contact):\s*([0-9-().+ ]{10,})\b/i
];
for (const pattern of phonePatterns) {
const match = $.text().match(pattern);
if (match) return match[0];
}
return undefined;
}
function findEmail($: cheerio.CheerioAPI): string | undefined {
const emailPattern = /\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b/;
const match = $.text().match(emailPattern);
return match ? match[0] : undefined;
}
function findAddress($: cheerio.CheerioAPI): string | undefined {
// Look for address in common elements
const addressSelectors = [
'address',
'[itemtype="http://schema.org/PostalAddress"]',
'.address',
'#address',
'[class*="address"]',
'[id*="address"]'
];
for (const selector of addressSelectors) {
const element = $(selector).first();
if (element.length) {
return element.text().trim();
}
}
return undefined;
}
function findOpeningHours($: cheerio.CheerioAPI): string[] {
const hours: string[] = [];
const hoursSelectors = [
'[itemtype="http://schema.org/OpeningHoursSpecification"]',
'.hours',
'#hours',
'[class*="hours"]',
'[id*="hours"]'
];
for (const selector of hoursSelectors) {
const element = $(selector).first();
if (element.length) {
element.find('*').each((_, el) => {
const text = $(el).text().trim();
if (text && !hours.includes(text)) {
hours.push(text);
}
});
}
}
return hours;
}

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import * as cheerio from 'cheerio';
interface StructuredData {
name?: string;
email?: string;
phone?: string;
address?: string;
socialProfiles?: string[];
openingHours?: Record<string, string>;
description?: string;
}
export class StructuredDataParser {
static parse($: cheerio.CheerioAPI): StructuredData[] {
const results: StructuredData[] = [];
// Parse JSON-LD
$('script[type="application/ld+json"]').each((_, element) => {
try {
const data = JSON.parse($(element).html() || '{}');
if (Array.isArray(data)) {
data.forEach(item => this.parseStructuredItem(item, results));
} else {
this.parseStructuredItem(data, results);
}
} catch (e) {
console.error('Error parsing JSON-LD:', e);
}
});
// Parse microdata
$('[itemtype]').each((_, element) => {
const type = $(element).attr('itemtype');
if (type?.includes('Organization') || type?.includes('LocalBusiness')) {
const data: StructuredData = {
name: $('[itemprop="name"]', element).text(),
email: $('[itemprop="email"]', element).text(),
phone: $('[itemprop="telephone"]', element).text(),
address: this.extractMicrodataAddress($, element),
socialProfiles: this.extractSocialProfiles($, element)
};
results.push(data);
}
});
// Parse RDFa
$('[typeof="Organization"], [typeof="LocalBusiness"]').each((_, element) => {
const data: StructuredData = {
name: $('[property="name"]', element).text(),
email: $('[property="email"]', element).text(),
phone: $('[property="telephone"]', element).text(),
address: this.extractRdfaAddress($, element),
socialProfiles: this.extractSocialProfiles($, element)
};
results.push(data);
});
return results;
}
private static parseStructuredItem(data: any, results: StructuredData[]): void {
if (data['@type'] === 'Organization' || data['@type'] === 'LocalBusiness') {
results.push({
name: data.name,
email: data.email,
phone: data.telephone,
address: this.formatAddress(data.address),
socialProfiles: this.extractSocialUrls(data),
openingHours: this.parseOpeningHours(data.openingHours),
description: data.description
});
}
}
private static formatAddress(address: any): string | undefined {
if (typeof address === 'string') return address;
if (typeof address === 'object') {
const parts = [
address.streetAddress,
address.addressLocality,
address.addressRegion,
address.postalCode,
address.addressCountry
].filter(Boolean);
return parts.join(', ');
}
return undefined;
}
private static extractSocialUrls(data: any): string[] {
const urls: string[] = [];
if (data.sameAs) {
if (Array.isArray(data.sameAs)) {
urls.push(...data.sameAs);
} else if (typeof data.sameAs === 'string') {
urls.push(data.sameAs);
}
}
return urls;
}
private static parseOpeningHours(hours: any): Record<string, string> | undefined {
if (!hours) return undefined;
if (Array.isArray(hours)) {
const schedule: Record<string, string> = {};
hours.forEach(spec => {
const match = spec.match(/^(\w+)(-\w+)?\s+(\d\d:\d\d)-(\d\d:\d\d)$/);
if (match) {
schedule[match[1]] = `${match[3]}-${match[4]}`;
}
});
return schedule;
}
return undefined;
}
// ... helper methods for microdata and RDFa parsing ...
}

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import { Request, Response, NextFunction } from 'express';
import { supabase } from '../lib/supabase';
// Extend Express Request type to include user
declare global {
namespace Express {
interface Request {
user?: {
id: string;
email: string;
role: string;
};
}
}
}
export async function authenticateUser(
req: Request,
res: Response,
next: NextFunction
) {
try {
const authHeader = req.headers.authorization;
if (!authHeader) {
return res.status(401).json({ error: 'No authorization header' });
}
const token = authHeader.replace('Bearer ', '');
const { data: { user }, error } = await supabase.auth.getUser(token);
if (error || !user) {
return res.status(401).json({ error: 'Invalid token' });
}
// Add user info to request
req.user = {
id: user.id,
email: user.email!,
role: (user.app_metadata?.role as string) || 'user'
};
next();
} catch (error) {
console.error('Authentication error:', error);
res.status(401).json({ error: 'Authentication failed' });
}
}

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import express from 'express';
import { SearchService } from '../lib/services/searchService';
import { Business } from '../lib/types';
const router = express.Router();
const searchService = new SearchService();
// Error handling middleware for JSON parsing errors
router.use((err: Error, req: express.Request, res: express.Response, next: express.NextFunction) => {
if (err instanceof SyntaxError && 'body' in err) {
return res.status(400).json({
success: false,
error: 'Invalid JSON'
});
}
next();
});
// Business categories endpoint
router.get('/categories', (req, res) => {
const categories = [
'Restaurant',
'Retail',
'Service',
'Healthcare',
'Professional',
'Entertainment',
'Education',
'Technology',
'Manufacturing',
'Construction',
'Transportation',
'Real Estate',
'Financial',
'Legal',
'Other'
];
res.json(categories);
});
// Streaming search endpoint
router.post('/search/stream', (req, res) => {
const { query, location } = req.body;
if (!query || !location) {
return res.status(400).json({
success: false,
error: 'Query and location are required'
});
}
// Set headers for SSE
res.setHeader('Content-Type', 'text/event-stream');
res.setHeader('Cache-Control', 'no-cache');
res.setHeader('Connection', 'keep-alive');
// Send initial message
res.write('data: {"type":"start","message":"Starting search..."}\n\n');
// Create search service instance for this request
const search = new SearchService();
// Listen for individual results
search.on('result', (business: Business) => {
res.write(`data: {"type":"result","business":${JSON.stringify(business)}}\n\n`);
});
// Listen for progress updates
search.on('progress', (data: any) => {
res.write(`data: {"type":"progress","data":${JSON.stringify(data)}}\n\n`);
});
// Listen for completion
search.on('complete', () => {
res.write('data: {"type":"complete","message":"Search complete"}\n\n');
res.end();
});
// Listen for errors
search.on('error', (error: Error) => {
res.write(`data: {"type":"error","message":${JSON.stringify(error.message)}}\n\n`);
res.end();
});
// Start the search
search.streamSearch(query, location).catch(error => {
console.error('Search error:', error);
res.write(`data: {"type":"error","message":${JSON.stringify(error.message)}}\n\n`);
res.end();
});
});
// Regular search endpoint (non-streaming)
router.post('/search', async (req, res) => {
const { query, location } = req.body;
if (!query || !location) {
return res.status(400).json({
success: false,
error: 'Query and location are required'
});
}
try {
const results = await searchService.search(query, location);
res.json({
success: true,
results
});
} catch (error) {
const errorMessage = error instanceof Error ? error.message : 'An error occurred during search';
console.error('Search error:', error);
res.status(500).json({
success: false,
error: errorMessage
});
}
});
// Get business by ID
router.get('/business/:id', async (req, res) => {
const { id } = req.params;
try {
const business = await searchService.getBusinessById(id);
if (!business) {
return res.status(404).json({
success: false,
error: 'Business not found'
});
}
res.json({
success: true,
business
});
} catch (error) {
const errorMessage = error instanceof Error ? error.message : 'Failed to fetch business details';
console.error('Error fetching business:', error);
res.status(500).json({
success: false,
error: errorMessage
});
}
});
export default router;

413
src/routes/business.ts Normal file
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@ -0,0 +1,413 @@
import { Router } from 'express';
import { z } from 'zod';
import { supabase } from '../lib/supabase';
import { authenticateUser } from '../middleware/auth';
const router = Router();
// Initialize database tables
async function initializeTables() {
try {
// Create businesses table if it doesn't exist
const { error: businessError } = await supabase.from('businesses').select('id').limit(1);
if (businessError?.code === 'PGRST204') {
const { error } = await supabase.rpc('execute_sql', {
sql_string: `
CREATE TABLE IF NOT EXISTS public.businesses (
id TEXT PRIMARY KEY,
name TEXT NOT NULL,
phone TEXT,
email TEXT,
address TEXT,
rating NUMERIC,
website TEXT,
description TEXT,
source TEXT,
logo TEXT,
latitude NUMERIC,
longitude NUMERIC,
last_updated TIMESTAMP WITH TIME ZONE DEFAULT timezone('utc'::text, now()),
search_count INTEGER DEFAULT 1,
created_at TIMESTAMP WITH TIME ZONE DEFAULT timezone('utc'::text, now()),
place_id TEXT
);
`
});
if (error) console.error('Error creating businesses table:', error);
}
// Create business_profiles table if it doesn't exist
const { error: profileError } = await supabase.from('business_profiles').select('business_id').limit(1);
if (profileError?.code === 'PGRST204') {
const { error } = await supabase.rpc('execute_sql', {
sql_string: `
CREATE TABLE IF NOT EXISTS public.business_profiles (
business_id TEXT PRIMARY KEY REFERENCES public.businesses(id),
claimed_by UUID REFERENCES auth.users(id),
claimed_at TIMESTAMP WITH TIME ZONE,
verification_status TEXT NOT NULL DEFAULT 'unverified',
social_links JSONB DEFAULT '{}',
hours_of_operation JSONB DEFAULT '{}',
additional_photos TEXT[] DEFAULT '{}',
tags TEXT[] DEFAULT '{}',
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT valid_verification_status CHECK (verification_status IN ('unverified', 'pending', 'verified', 'rejected'))
);
CREATE TABLE IF NOT EXISTS public.business_claims (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
business_id TEXT NOT NULL REFERENCES public.businesses(id),
user_id UUID NOT NULL REFERENCES auth.users(id),
status TEXT NOT NULL DEFAULT 'pending',
proof_documents TEXT[] DEFAULT '{}',
submitted_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
reviewed_at TIMESTAMP WITH TIME ZONE,
reviewed_by UUID REFERENCES auth.users(id),
notes TEXT,
CONSTRAINT valid_claim_status CHECK (status IN ('pending', 'approved', 'rejected'))
);
CREATE INDEX IF NOT EXISTS idx_business_profiles_claimed_by ON public.business_profiles(claimed_by);
CREATE INDEX IF NOT EXISTS idx_business_claims_business_id ON public.business_claims(business_id);
CREATE INDEX IF NOT EXISTS idx_business_claims_user_id ON public.business_claims(user_id);
CREATE INDEX IF NOT EXISTS idx_business_claims_status ON public.business_claims(status);
ALTER TABLE public.business_profiles ENABLE ROW LEVEL SECURITY;
ALTER TABLE public.business_claims ENABLE ROW LEVEL SECURITY;
DROP POLICY IF EXISTS "Public profiles are viewable by everyone" ON public.business_profiles;
CREATE POLICY "Public profiles are viewable by everyone"
ON public.business_profiles FOR SELECT
USING (true);
DROP POLICY IF EXISTS "Profiles can be updated by verified owners" ON public.business_profiles;
CREATE POLICY "Profiles can be updated by verified owners"
ON public.business_profiles FOR UPDATE
USING (auth.uid() = claimed_by AND verification_status = 'verified');
DROP POLICY IF EXISTS "Users can view their own claims" ON public.business_claims;
CREATE POLICY "Users can view their own claims"
ON public.business_claims FOR SELECT
USING (auth.uid() = user_id);
DROP POLICY IF EXISTS "Users can create claims" ON public.business_claims;
CREATE POLICY "Users can create claims"
ON public.business_claims FOR INSERT
WITH CHECK (auth.uid() = user_id);
DROP POLICY IF EXISTS "Only admins can review claims" ON public.business_claims;
CREATE POLICY "Only admins can review claims"
ON public.business_claims FOR UPDATE
USING (EXISTS (
SELECT 1 FROM auth.users
WHERE auth.uid() = id
AND raw_app_meta_data->>'role' = 'admin'
));
`
});
if (error) console.error('Error creating profile tables:', error);
}
// Insert test data
const { error: testDataError } = await supabase
.from('businesses')
.insert([
{
id: 'test-business-1',
name: 'Test Coffee Shop',
phone: '303-555-0123',
email: 'contact@testcoffee.com',
address: '123 Test St, Denver, CO 80202',
rating: 4.5,
website: 'https://testcoffee.com',
description: 'A cozy coffee shop in downtown Denver serving artisanal coffee and pastries.',
source: 'manual'
}
])
.select()
.single();
if (testDataError) {
console.error('Error inserting test data:', testDataError);
}
// Create test business profile
const { error: testProfileError } = await supabase
.from('business_profiles')
.insert([
{
business_id: 'test-business-1',
verification_status: 'unverified',
social_links: {
facebook: 'https://facebook.com/testcoffee',
instagram: 'https://instagram.com/testcoffee'
},
hours_of_operation: {
monday: ['7:00', '19:00'],
tuesday: ['7:00', '19:00'],
wednesday: ['7:00', '19:00'],
thursday: ['7:00', '19:00'],
friday: ['7:00', '20:00'],
saturday: ['8:00', '20:00'],
sunday: ['8:00', '18:00']
},
tags: ['coffee', 'pastries', 'breakfast', 'lunch']
}
])
.select()
.single();
if (testProfileError) {
console.error('Error creating test profile:', testProfileError);
}
} catch (error) {
console.error('Error initializing tables:', error);
}
}
// Call initialization on startup
initializeTables();
// Schema for business profile updates
const profileUpdateSchema = z.object({
social_links: z.record(z.string()).optional(),
hours_of_operation: z.record(z.array(z.string())).optional(),
additional_photos: z.array(z.string()).optional(),
tags: z.array(z.string()).optional(),
});
// Schema for claim submissions
const claimSubmissionSchema = z.object({
business_id: z.string(),
proof_documents: z.array(z.string()),
notes: z.string().optional(),
});
// Get business profile
router.get('/:businessId', async (req, res) => {
try {
const { businessId } = req.params;
// Get business details and profile
const { data: business, error: businessError } = await supabase
.from('businesses')
.select(`
*,
business_profiles (*)
`)
.eq('id', businessId)
.single();
if (businessError) throw businessError;
if (!business) {
return res.status(404).json({ error: 'Business not found' });
}
res.json(business);
} catch (error) {
console.error('Error fetching business profile:', error);
res.status(500).json({ error: 'Failed to fetch business profile' });
}
});
// Update business profile (requires authentication)
router.patch('/:businessId/profile', authenticateUser, async (req, res) => {
try {
const { businessId } = req.params;
if (!req.user) {
return res.status(401).json({ error: 'User not authenticated' });
}
const userId = req.user.id;
const updates = profileUpdateSchema.parse(req.body);
// Check if user owns this profile
const { data: profile } = await supabase
.from('business_profiles')
.select('claimed_by, verification_status')
.eq('business_id', businessId)
.single();
if (!profile || profile.claimed_by !== userId || profile.verification_status !== 'verified') {
return res.status(403).json({ error: 'Not authorized to update this profile' });
}
// Update profile
const { error: updateError } = await supabase
.from('business_profiles')
.update({
...updates,
updated_at: new Date().toISOString(),
})
.eq('business_id', businessId);
if (updateError) throw updateError;
res.json({ message: 'Profile updated successfully' });
} catch (error) {
console.error('Error updating business profile:', error);
res.status(500).json({ error: 'Failed to update profile' });
}
});
// Submit a claim for a business
router.post('/claim', authenticateUser, async (req, res) => {
try {
if (!req.user) {
return res.status(401).json({ error: 'User not authenticated' });
}
const userId = req.user.id;
const claim = claimSubmissionSchema.parse(req.body);
// Check if business exists
const { data: business } = await supabase
.from('businesses')
.select('id')
.eq('id', claim.business_id)
.single();
if (!business) {
return res.status(404).json({ error: 'Business not found' });
}
// Check if business is already claimed
const { data: existingProfile } = await supabase
.from('business_profiles')
.select('claimed_by')
.eq('business_id', claim.business_id)
.single();
if (existingProfile?.claimed_by) {
return res.status(400).json({ error: 'Business is already claimed' });
}
// Check for existing pending claims
const { data: existingClaim } = await supabase
.from('business_claims')
.select('id')
.eq('business_id', claim.business_id)
.eq('status', 'pending')
.single();
if (existingClaim) {
return res.status(400).json({ error: 'A pending claim already exists for this business' });
}
// Create claim
const { error: claimError } = await supabase
.from('business_claims')
.insert({
business_id: claim.business_id,
user_id: userId,
proof_documents: claim.proof_documents,
notes: claim.notes,
});
if (claimError) throw claimError;
res.json({ message: 'Claim submitted successfully' });
} catch (error) {
console.error('Error submitting business claim:', error);
res.status(500).json({ error: 'Failed to submit claim' });
}
});
// Get claims for a business (admin only)
router.get('/:businessId/claims', authenticateUser, async (req, res) => {
try {
const { businessId } = req.params;
if (!req.user) {
return res.status(401).json({ error: 'User not authenticated' });
}
const userId = req.user.id;
// Check if user is admin
const { data: user } = await supabase
.from('users')
.select('raw_app_meta_data')
.eq('id', userId)
.single();
if (user?.raw_app_meta_data?.role !== 'admin') {
return res.status(403).json({ error: 'Not authorized' });
}
const { data: claims, error } = await supabase
.from('business_claims')
.select(`
*,
user:user_id (
email
)
`)
.eq('business_id', businessId)
.order('submitted_at', { ascending: false });
if (error) throw error;
res.json(claims);
} catch (error) {
console.error('Error fetching business claims:', error);
res.status(500).json({ error: 'Failed to fetch claims' });
}
});
// Review a claim (admin only)
router.post('/claims/:claimId/review', authenticateUser, async (req, res) => {
try {
const { claimId } = req.params;
if (!req.user) {
return res.status(401).json({ error: 'User not authenticated' });
}
const userId = req.user.id;
const { status, notes } = z.object({
status: z.enum(['approved', 'rejected']),
notes: z.string().optional(),
}).parse(req.body);
// Check if user is admin
const { data: user } = await supabase
.from('users')
.select('raw_app_meta_data')
.eq('id', userId)
.single();
if (user?.raw_app_meta_data?.role !== 'admin') {
return res.status(403).json({ error: 'Not authorized' });
}
// Get claim details
const { data: claim } = await supabase
.from('business_claims')
.select('business_id, status')
.eq('id', claimId)
.single();
if (!claim) {
return res.status(404).json({ error: 'Claim not found' });
}
if (claim.status !== 'pending') {
return res.status(400).json({ error: 'Claim has already been reviewed' });
}
// Start a transaction
const { error: updateError } = await supabase.rpc('review_business_claim', {
p_claim_id: claimId,
p_business_id: claim.business_id,
p_user_id: userId,
p_status: status,
p_notes: notes
});
if (updateError) throw updateError;
res.json({ message: 'Claim reviewed successfully' });
} catch (error) {
console.error('Error reviewing business claim:', error);
res.status(500).json({ error: 'Failed to review claim' });
}
});
export default router;

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@ -1,160 +1,310 @@
import express from 'express'; import { Router, Response as ExpressResponse } from 'express';
import logger from '../utils/logger'; import { z } from 'zod';
import type { BaseChatModel } from '@langchain/core/language_models/chat_models'; import fetch from 'node-fetch';
import type { Embeddings } from '@langchain/core/embeddings'; import { Response as FetchResponse } from 'node-fetch';
import { ChatOpenAI } from '@langchain/openai'; import { supabase } from '../lib/supabase';
import { import { env } from '../config/env';
getAvailableChatModelProviders,
getAvailableEmbeddingModelProviders,
} from '../lib/providers';
import { searchHandlers } from '../websocket/messageHandler';
import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
import { MetaSearchAgentType } from '../search/metaSearchAgent';
const router = express.Router(); const router = Router();
interface chatModel { const searchSchema = z.object({
provider: string; query: z.string().min(1),
model: string; });
customOpenAIBaseURL?: string;
customOpenAIKey?: string; interface Business {
id: string;
name: string;
description: string;
website: string;
phone: string | null;
address: string | null;
} }
interface embeddingModel { interface SearxResult {
provider: string; url: string;
model: string; title: string;
content: string;
engine: string;
score: number;
} }
interface ChatRequestBody { interface SearxResponse {
optimizationMode: 'speed' | 'balanced';
focusMode: string;
chatModel?: chatModel;
embeddingModel?: embeddingModel;
query: string; query: string;
history: Array<[string, string]>; results: SearxResult[];
} }
router.post('/', async (req, res) => { async function getCachedResults(query: string): Promise<Business[]> {
console.log('Fetching cached results for query:', query);
const normalizedQuery = query.toLowerCase()
.trim()
.replace(/,/g, '') // Remove commas
.replace(/\s+/g, ' '); // Normalize whitespace
const searchTerms = normalizedQuery.split(' ').filter(term => term.length > 0);
console.log('Normalized search terms:', searchTerms);
// First try exact match
const { data: exactMatch } = await supabase
.from('search_cache')
.select('*')
.eq('query', normalizedQuery)
.single();
if (exactMatch) {
console.log('Found exact match in cache');
return exactMatch.results as Business[];
}
// Then try fuzzy search
console.log('Trying fuzzy search with terms:', searchTerms);
const searchConditions = searchTerms.map(term => `query.ilike.%${term}%`);
const { data: cachedResults, error } = await supabase
.from('search_cache')
.select('*')
.or(searchConditions.join(','));
if (error) {
console.error('Error fetching cached results:', error);
return [];
}
if (!cachedResults || cachedResults.length === 0) {
console.log('No cached results found');
return [];
}
console.log(`Found ${cachedResults.length} cached searches`);
// Combine and deduplicate results from all matching searches
const allResults = cachedResults.flatMap(cache => cache.results as Business[]);
const uniqueResults = Array.from(new Map(allResults.map(item => [item.id, item])).values());
console.log(`Combined into ${uniqueResults.length} unique businesses`);
// Sort by relevance to search terms
const sortedResults = uniqueResults.sort((a, b) => {
const aScore = searchTerms.filter(term =>
a.name.toLowerCase().includes(term) ||
a.description.toLowerCase().includes(term)
).length;
const bScore = searchTerms.filter(term =>
b.name.toLowerCase().includes(term) ||
b.description.toLowerCase().includes(term)
).length;
return bScore - aScore;
});
return sortedResults;
}
async function searchSearxNG(query: string): Promise<Business[]> {
console.log('Starting SearxNG search for query:', query);
try { try {
const body: ChatRequestBody = req.body; const params = new URLSearchParams({
q: `${query} denver business`,
if (!body.focusMode || !body.query) { format: 'json',
return res.status(400).json({ message: 'Missing focus mode or query' }); language: 'en',
} time_range: '',
safesearch: '1',
body.history = body.history || []; engines: 'google,bing,duckduckgo'
body.optimizationMode = body.optimizationMode || 'balanced';
const history: BaseMessage[] = body.history.map((msg) => {
if (msg[0] === 'human') {
return new HumanMessage({
content: msg[1],
});
} else {
return new AIMessage({
content: msg[1],
}); });
const searchUrl = `${env.SEARXNG_URL}/search?${params.toString()}`;
console.log('Searching SearxNG at URL:', searchUrl);
const response: FetchResponse = await fetch(searchUrl, {
method: 'GET',
headers: {
'Accept': 'application/json',
} }
}); });
const [chatModelProviders, embeddingModelProviders] = await Promise.all([ if (!response.ok) {
getAvailableChatModelProviders(), throw new Error(`SearxNG search failed: ${response.statusText} (${response.status})`);
getAvailableEmbeddingModelProviders(),
]);
const chatModelProvider =
body.chatModel?.provider || Object.keys(chatModelProviders)[0];
const chatModel =
body.chatModel?.model ||
Object.keys(chatModelProviders[chatModelProvider])[0];
const embeddingModelProvider =
body.embeddingModel?.provider || Object.keys(embeddingModelProviders)[0];
const embeddingModel =
body.embeddingModel?.model ||
Object.keys(embeddingModelProviders[embeddingModelProvider])[0];
let llm: BaseChatModel | undefined;
let embeddings: Embeddings | undefined;
if (body.chatModel?.provider === 'custom_openai') {
if (
!body.chatModel?.customOpenAIBaseURL ||
!body.chatModel?.customOpenAIKey
) {
return res
.status(400)
.json({ message: 'Missing custom OpenAI base URL or key' });
} }
llm = new ChatOpenAI({ const data = await response.json() as SearxResponse;
modelName: body.chatModel.model, console.log(`Got ${data.results?.length || 0} raw results from SearxNG`);
openAIApiKey: body.chatModel.customOpenAIKey, console.log('Sample result:', data.results?.[0]);
temperature: 0.7,
configuration: { if (!data.results || data.results.length === 0) {
baseURL: body.chatModel.customOpenAIBaseURL, return [];
},
}) as unknown as BaseChatModel;
} else if (
chatModelProviders[chatModelProvider] &&
chatModelProviders[chatModelProvider][chatModel]
) {
llm = chatModelProviders[chatModelProvider][chatModel]
.model as unknown as BaseChatModel | undefined;
} }
if ( const filteredResults = data.results
embeddingModelProviders[embeddingModelProvider] && .filter(result =>
embeddingModelProviders[embeddingModelProvider][embeddingModel] result.title &&
) { result.url &&
embeddings = embeddingModelProviders[embeddingModelProvider][ !result.url.includes('yelp.com/search') &&
embeddingModel !result.url.includes('google.com/search') &&
].model as Embeddings | undefined; !result.url.includes('bbb.org/search') &&
} !result.url.includes('thumbtack.com/search') &&
!result.url.includes('angi.com/search') &&
if (!llm || !embeddings) { !result.url.includes('yellowpages.com/search')
return res.status(400).json({ message: 'Invalid model selected' });
}
const searchHandler: MetaSearchAgentType = searchHandlers[body.focusMode];
if (!searchHandler) {
return res.status(400).json({ message: 'Invalid focus mode' });
}
const emitter = await searchHandler.searchAndAnswer(
body.query,
history,
llm,
embeddings,
body.optimizationMode,
[],
); );
let message = ''; console.log(`Filtered to ${filteredResults.length} relevant results`);
let sources = []; console.log('Sample filtered result:', filteredResults[0]);
emitter.on('data', (data) => { const searchTerms = query.toLowerCase().split(' ');
const parsedData = JSON.parse(data); const businesses = filteredResults
if (parsedData.type === 'response') { .map(result => {
message += parsedData.data; const business = {
} else if (parsedData.type === 'sources') { id: result.url,
sources = parsedData.data; name: cleanBusinessName(result.title),
description: result.content || '',
website: result.url,
phone: extractPhone(result.content || '') || extractPhone(result.title),
address: extractAddress(result.content || '') || extractAddress(result.title),
score: result.score || 0
};
console.log('Processed business:', business);
return business;
})
.filter(business => {
// Check if business name contains any of the search terms
const nameMatches = searchTerms.some(term =>
business.name.toLowerCase().includes(term)
);
// Check if description contains any of the search terms
const descriptionMatches = searchTerms.some(term =>
business.description.toLowerCase().includes(term)
);
return business.name.length > 2 && (nameMatches || descriptionMatches);
})
.sort((a, b) => {
// Score based on how many search terms match the name and description
const aScore = searchTerms.filter(term =>
a.name.toLowerCase().includes(term) ||
a.description.toLowerCase().includes(term)
).length;
const bScore = searchTerms.filter(term =>
b.name.toLowerCase().includes(term) ||
b.description.toLowerCase().includes(term)
).length;
return bScore - aScore;
})
.slice(0, 10);
console.log(`Transformed into ${businesses.length} business entries`);
return businesses;
} catch (error) {
console.error('SearxNG search error:', error);
return [];
} }
}); }
emitter.on('end', () => { async function cacheResults(query: string, results: Business[]): Promise<void> {
res.status(200).json({ message, sources }); if (!results.length) return;
});
emitter.on('error', (data) => { console.log(`Caching ${results.length} results for query:`, query);
const parsedData = JSON.parse(data); const normalizedQuery = query.toLowerCase().trim();
res.status(500).json({ message: parsedData.data });
const { data: existing } = await supabase
.from('search_cache')
.select('id, results')
.eq('query', normalizedQuery)
.single();
if (existing) {
console.log('Updating existing cache entry');
// Merge new results with existing ones, removing duplicates
const allResults = [...existing.results, ...results];
const uniqueResults = Array.from(new Map(allResults.map(item => [item.id, item])).values());
await supabase
.from('search_cache')
.update({
results: uniqueResults,
updated_at: new Date().toISOString()
})
.eq('id', existing.id);
} else {
console.log('Creating new cache entry');
await supabase
.from('search_cache')
.insert({
query: normalizedQuery,
results,
location: 'denver', // Default location
category: 'business', // Default category
created_at: new Date().toISOString(),
updated_at: new Date().toISOString(),
expires_at: new Date(Date.now() + 7 * 24 * 60 * 60 * 1000).toISOString() // 7 days from now
}); });
} catch (err: any) { }
logger.error(`Error in getting search results: ${err.message}`); }
res.status(500).json({ message: 'An error has occurred.' });
function cleanBusinessName(title: string): string {
return title
.replace(/^(the\s+)?/i, '')
.replace(/\s*[-|]\s*.+$/i, '')
.replace(/\s*\|.*$/i, '')
.replace(/\s*in\s+denver.*$/i, '')
.replace(/\s*near\s+denver.*$/i, '')
.replace(/\s*-\s*.*denver.*$/i, '')
.trim();
}
function extractPhone(text: string): string | null {
const phoneRegex = /(\+?1?\s*\(?[0-9]{3}\)?[-.\s]?[0-9]{3}[-.\s]?[0-9]{4})/;
const match = text.match(phoneRegex);
return match ? match[1] : null;
}
function extractAddress(text: string): string | null {
const addressRegex = /\d+\s+[A-Za-z0-9\s,]+(?:Street|St|Avenue|Ave|Road|Rd|Boulevard|Blvd|Lane|Ln|Drive|Dr|Way|Court|Ct|Circle|Cir)[,\s]+(?:[A-Za-z\s]+,\s*)?(?:CO|Colorado)[,\s]+\d{5}(?:-\d{4})?/i;
const match = text.match(addressRegex);
return match ? match[0] : null;
}
router.post('/search', async (req, res) => {
try {
console.log('Received search request:', req.body);
const { query } = searchSchema.parse(req.body);
await handleSearch(query, res);
} catch (error) {
console.error('Search error:', error);
res.status(400).json({ error: 'Search failed. Please try again.' });
} }
}); });
// Also support GET requests for easier testing
router.get('/search', async (req, res) => {
try {
const query = req.query.q as string;
if (!query) {
return res.status(400).json({ error: 'Query parameter "q" is required' });
}
console.log('Received search request:', { query });
await handleSearch(query, res);
} catch (error) {
console.error('Search error:', error);
res.status(400).json({ error: 'Search failed. Please try again.' });
}
});
// Helper function to handle search logic
async function handleSearch(query: string, res: ExpressResponse) {
// Get cached results immediately
const cachedResults = await getCachedResults(query);
console.log(`Returning ${cachedResults.length} cached results to client`);
// Send cached results to client
res.json({ results: cachedResults });
// Search for new results in the background
console.log('Starting background search');
searchSearxNG(query).then(async newResults => {
console.log(`Found ${newResults.length} new results from SearxNG`);
if (newResults.length > 0) {
await cacheResults(query, newResults);
}
}).catch(error => {
console.error('Background search error:', error);
});
}
export default router; export default router;

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import express from 'express';
import cors from 'cors';
import { env } from './config/env';
import app from './app';
import { HealthCheckService } from './lib/services/healthCheck';
const port = env.PORT || 3000;
// Health check endpoint
app.get('/health', async (req, res) => {
const health = await HealthCheckService.checkHealth();
res.json(health);
});
export function startServer() {
return app.listen(port, () => {
console.log(`Server is running on port ${port}`);
});
}
export default app;

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@tailwind base;
@tailwind components;
@tailwind utilities;

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import { createClient } from '@supabase/supabase-js';
import dotenv from 'dotenv';
// Load environment variables
dotenv.config();
async function testSupabaseConnection() {
console.log('Testing Supabase connection...');
console.log('URL:', process.env.SUPABASE_URL);
console.log('Key length:', process.env.SUPABASE_KEY?.length || 0);
try {
const supabase = createClient(
process.env.SUPABASE_URL!,
process.env.SUPABASE_KEY!,
{
auth: {
autoRefreshToken: true,
persistSession: true
}
}
);
// Test businesses table
console.log('\nTesting businesses table:');
const testBusiness = {
id: 'test_' + Date.now(),
name: 'Test Business',
phone: '123-456-7890',
email: 'test@example.com',
address: '123 Test St',
rating: 5,
website: 'https://test.com',
source: 'test',
description: 'Test description',
latitude: 39.7392,
longitude: -104.9903,
search_count: 1,
created_at: new Date().toISOString()
};
const { error: insertBusinessError } = await supabase
.from('businesses')
.insert([testBusiness])
.select();
if (insertBusinessError) {
console.error('❌ INSERT business error:', insertBusinessError);
} else {
console.log('✅ INSERT business OK');
// Clean up
await supabase.from('businesses').delete().eq('id', testBusiness.id);
}
// Test searches table
console.log('\nTesting searches table:');
const testSearch = {
query: 'test query',
location: 'test location',
results_count: 0,
timestamp: new Date().toISOString()
};
const { error: insertSearchError } = await supabase
.from('searches')
.insert([testSearch])
.select();
if (insertSearchError) {
console.error('❌ INSERT search error:', insertSearchError);
} else {
console.log('✅ INSERT search OK');
}
// Test cache table
console.log('\nTesting cache table:');
const testCache = {
key: 'test_key_' + Date.now(),
value: { test: true },
created_at: new Date().toISOString(),
expires_at: new Date(Date.now() + 3600000).toISOString()
};
const { error: insertCacheError } = await supabase
.from('cache')
.insert([testCache])
.select();
if (insertCacheError) {
console.error('❌ INSERT cache error:', insertCacheError);
} else {
console.log('✅ INSERT cache OK');
// Clean up
await supabase.from('cache').delete().eq('key', testCache.key);
}
} catch (error: any) {
console.error('❌ Unexpected error:', error);
}
}
testSupabaseConnection().catch(console.error);

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import { createClient } from '@supabase/supabase-js';
// Mock data type
type MockData = {
businesses: { id: string; name: string };
cache: { key: string; value: { test: boolean } };
};
// Mock Supabase client
jest.mock('@supabase/supabase-js', () => ({
createClient: jest.fn(() => ({
from: jest.fn((table: keyof MockData) => {
const mockData: MockData = {
businesses: { id: 'test_1', name: 'Test Business' },
cache: { key: 'test_key', value: { test: true } }
};
return {
insert: jest.fn(() => ({
select: jest.fn().mockResolvedValue({
data: [mockData[table]],
error: null
})
})),
select: jest.fn(() => ({
eq: jest.fn(() => ({
single: jest.fn().mockResolvedValue({
data: mockData[table],
error: null
}),
gt: jest.fn(() => ({
single: jest.fn().mockResolvedValue({
data: null,
error: null
})
}))
}))
})),
update: jest.fn(() => ({
eq: jest.fn().mockResolvedValue({
error: null
})
})),
delete: jest.fn(() => ({
eq: jest.fn().mockResolvedValue({
error: null
})
}))
};
})
}))
}));
describe('Database Operations', () => {
const supabase = createClient('test-url', 'test-key');
const testBusiness = {
id: `test_${Date.now()}`,
name: 'Test Business',
phone: '(303) 555-1234',
email: 'test@example.com',
address: '123 Test St, Denver, CO 80202',
rating: 5,
website: 'https://test.com',
source: 'test',
description: 'Test description',
location: { lat: 39.7392, lng: -104.9903 },
search_count: 1,
created_at: new Date().toISOString()
};
beforeEach(() => {
jest.clearAllMocks();
});
describe('Business Operations', () => {
it('should insert a business successfully', async () => {
const { data, error } = await supabase
.from('businesses')
.insert([testBusiness])
.select();
expect(error).toBeNull();
expect(data).toBeTruthy();
expect(data![0].name).toBe('Test Business');
});
it('should retrieve a business by id', async () => {
const { data, error } = await supabase
.from('businesses')
.select()
.eq('id', testBusiness.id)
.single();
expect(error).toBeNull();
expect(data).toBeTruthy();
expect(data.name).toBe('Test Business');
});
it('should update a business', async () => {
const { error } = await supabase
.from('businesses')
.update({ name: 'Updated Test Business' })
.eq('id', testBusiness.id);
expect(error).toBeNull();
});
});
describe('Cache Operations', () => {
const testCache = {
key: `test_key_${Date.now()}`,
value: { test: true },
created_at: new Date().toISOString(),
expires_at: new Date(Date.now() + 3600000).toISOString()
};
it('should insert cache entry', async () => {
const { data, error } = await supabase
.from('cache')
.insert([testCache])
.select();
expect(error).toBeNull();
expect(data).toBeTruthy();
});
it('should retrieve cache entry', async () => {
const { data, error } = await supabase
.from('cache')
.select()
.eq('key', testCache.key)
.single();
expect(error).toBeNull();
expect(data.value).toEqual({ test: true });
});
});
});

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import { DeepSeekService } from '../../lib/services/deepseekService';
import { Business } from '../../lib/types';
// Mock the DeepSeek service
jest.mock('../../lib/services/deepseekService', () => {
const mockCleanedBusiness = {
name: "Denver's Best Plumbing & Repair",
address: "1234 Main Street, Denver, CO 80202",
phone: "(720) 555-1234",
email: "support@denverplumbing.com",
description: "Professional plumbing services in Denver metro area"
};
return {
DeepSeekService: {
chat: jest.fn().mockResolvedValue(JSON.stringify({
business_info: mockCleanedBusiness
})),
detectBusinessType: jest.fn().mockReturnValue('service'),
sanitizeJsonResponse: jest.fn().mockReturnValue(mockCleanedBusiness),
manualClean: jest.fn().mockReturnValue(mockCleanedBusiness),
cleanBusinessData: jest.fn().mockResolvedValue(mockCleanedBusiness)
}
};
});
describe('DeepSeekService', () => {
describe('cleanBusinessData', () => {
const testBusiness: Business = {
id: 'test_1',
name: "Denver's Best Plumbing & Repair [LLC] (A Family Business)",
address: "Suite 200-B, 1234 Main Street, Denver, Colorado 80202",
phone: "(720) 555-1234",
email: "support@denverplumbing.com",
description: "Professional plumbing services in Denver metro area",
source: 'test',
website: 'https://example.com',
rating: 4.8,
location: { lat: 39.7392, lng: -104.9903 },
openingHours: []
};
beforeEach(() => {
jest.clearAllMocks();
});
it('should clean business name correctly', async () => {
const cleaned = await DeepSeekService.cleanBusinessData(testBusiness);
expect(cleaned.name).not.toMatch(/[\[\]{}()]/);
expect(cleaned.name).toBeTruthy();
});
it('should format phone number correctly', async () => {
const cleaned = await DeepSeekService.cleanBusinessData(testBusiness);
expect(cleaned.phone).toMatch(/^\(\d{3}\) \d{3}-\d{4}$/);
});
it('should clean email address', async () => {
const cleaned = await DeepSeekService.cleanBusinessData(testBusiness);
expect(cleaned.email).not.toMatch(/[\[\]<>()]|mailto:|click|schedule/i);
expect(cleaned.email).toMatch(/^[^\s@]+@[^\s@]+\.[^\s@]+$/);
});
it('should clean description', async () => {
const cleaned = await DeepSeekService.cleanBusinessData(testBusiness);
expect(cleaned.description).not.toMatch(/[\$\d]+%?\s*off|\$/i);
expect(cleaned.description).not.toMatch(/\b(?:call|email|visit|contact|text|www\.|http|@)\b/i);
expect(cleaned.description).not.toMatch(/[📞📧🌐💳☎️📱]/);
expect(cleaned.description).not.toMatch(/#\w+/);
});
});
describe('chat', () => {
it('should return a response from the model', async () => {
const response = await DeepSeekService['chat']([{
role: 'user',
content: 'Test message'
}]);
expect(response).toBeTruthy();
expect(typeof response).toBe('string');
});
it('should handle errors gracefully', async () => {
(DeepSeekService['chat'] as jest.Mock).mockRejectedValueOnce(new Error('Test error'));
await expect(DeepSeekService['chat']([{
role: 'user',
content: 'Test message'
}])).rejects.toThrow('Test error');
});
});
});

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import express from 'express';
import request from 'supertest';
import { SearchService } from '../../../lib/services/searchService';
import { Business } from '../../../lib/types';
// Mock SearchService
jest.mock('../../../lib/services/searchService');
describe('API Integration', () => {
let app: express.Application;
const mockBusiness: Business = {
id: 'test_1',
name: "Denver's Best Plumbing",
address: "1234 Main Street, Denver, CO 80202",
phone: "(720) 555-1234",
email: "support@denverplumbing.com",
description: "Professional plumbing services",
source: 'test',
website: 'https://example.com',
rating: 4.8,
location: { lat: 39.7392, lng: -104.9903 },
openingHours: []
};
beforeAll(() => {
app = express();
app.use(express.json());
// Mock SearchService methods
(SearchService.prototype.search as jest.Mock).mockResolvedValue([mockBusiness]);
(SearchService.prototype.getBusinessById as jest.Mock).mockResolvedValue(mockBusiness);
// Add error handling middleware
app.use((err: any, req: express.Request, res: express.Response, next: express.NextFunction) => {
if (err instanceof SyntaxError && 'body' in err) {
return res.status(400).json({ error: 'Invalid JSON' });
}
next(err);
});
// Add routes
app.use('/api', require('../../../routes/api').default);
});
beforeEach(() => {
jest.clearAllMocks();
});
describe('Search Endpoints', () => {
it('should handle search requests', async () => {
const response = await request(app)
.post('/api/search')
.send({
query: 'plumber in Denver',
location: 'Denver, CO'
});
expect(response.status).toBe(200);
expect(response.body).toHaveProperty('results');
expect(Array.isArray(response.body.results)).toBe(true);
expect(response.body.results[0]).toEqual(mockBusiness);
});
it('should handle missing parameters', async () => {
const response = await request(app)
.post('/api/search')
.send({
query: 'plumber in Denver'
// missing location
});
expect(response.status).toBe(400);
expect(response.body).toHaveProperty('error');
});
it('should handle search errors', async () => {
// Mock search error
(SearchService.prototype.search as jest.Mock)
.mockRejectedValueOnce(new Error('Search failed'));
const response = await request(app)
.post('/api/search')
.send({
query: 'plumber in Denver',
location: 'Denver, CO'
});
expect(response.status).toBe(500);
expect(response.body).toHaveProperty('error');
});
});
describe('Business Details Endpoint', () => {
it('should retrieve business details', async () => {
const response = await request(app)
.get('/api/business/test_1');
expect(response.status).toBe(200);
expect(response.body).toEqual(mockBusiness);
});
it('should handle non-existent business', async () => {
// Mock not found
(SearchService.prototype.getBusinessById as jest.Mock)
.mockResolvedValueOnce(null);
const response = await request(app)
.get('/api/business/non_existent');
expect(response.status).toBe(404);
expect(response.body).toHaveProperty('error');
});
});
describe('Error Handling', () => {
it('should handle invalid JSON', async () => {
const response = await request(app)
.post('/api/search')
.set('Content-Type', 'application/json')
.send('{"invalid json"}');
expect(response.status).toBe(400);
expect(response.body).toHaveProperty('error');
expect(response.body.error).toBe('Invalid JSON');
});
it('should handle rate limiting', async () => {
// Mock rate limit error
(SearchService.prototype.search as jest.Mock)
.mockRejectedValueOnce({ response: { status: 429 } });
const response = await request(app)
.post('/api/search')
.send({
query: 'plumber in Denver',
location: 'Denver, CO'
});
expect(response.status).toBe(429);
expect(response.body).toHaveProperty('error');
expect(response.body.error).toBe('Rate limit exceeded');
});
});
});

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import { DeepSeekService } from '../../../lib/services/deepseekService';
import { createClient } from '@supabase/supabase-js';
import { SearchService } from '../../../lib/services/searchService';
import { Business } from '../../../lib/types';
// Mock external services
jest.mock('@supabase/supabase-js');
jest.mock('../../../lib/services/deepseekService');
describe('Search Integration', () => {
const mockBusiness: Business = {
id: 'test_1',
name: "Denver's Best Plumbing",
address: "1234 Main Street, Denver, CO 80202",
phone: "(720) 555-1234",
email: "support@denverplumbing.com",
description: "Professional plumbing services",
source: 'test',
website: 'https://example.com',
rating: 4.8,
location: { lat: 39.7392, lng: -104.9903 },
openingHours: []
};
// Mock Supabase responses
const mockSupabase = {
from: jest.fn().mockReturnValue({
insert: jest.fn().mockReturnValue({
select: jest.fn().mockResolvedValue({
data: [mockBusiness],
error: null
})
}),
select: jest.fn().mockReturnValue({
eq: jest.fn().mockReturnValue({
single: jest.fn().mockResolvedValue({
data: null,
error: null
})
})
})
})
};
beforeEach(() => {
jest.clearAllMocks();
(createClient as jest.Mock).mockReturnValue(mockSupabase);
});
describe('Search and Store Flow', () => {
it('should search, clean, and store business data', async () => {
const searchService = new SearchService();
const query = 'plumber in Denver';
const location = 'Denver, CO';
// Mock performSearch to return results
const performSearchSpy = jest.spyOn(searchService as any, 'performSearch')
.mockResolvedValue([mockBusiness]);
// Perform search
const results = await searchService.search(query, location);
// Verify search results
expect(results).toBeTruthy();
expect(Array.isArray(results)).toBe(true);
expect(results[0]).toEqual(mockBusiness);
// Verify cache was checked first
expect(mockSupabase.from).toHaveBeenCalledWith('cache');
// Verify results were cached
expect(mockSupabase.from).toHaveBeenCalledWith('cache');
expect(mockSupabase.from().insert).toHaveBeenCalled();
});
it('should handle search errors gracefully', async () => {
const searchService = new SearchService();
// Mock performSearch to throw error
jest.spyOn(searchService as any, 'performSearch')
.mockRejectedValue(new Error('Search failed'));
await expect(searchService.search('invalid query', 'invalid location'))
.rejects.toThrow('Search failed');
});
it('should use cache when available', async () => {
const searchService = new SearchService();
const query = 'plumber in Denver';
const location = 'Denver, CO';
// Mock cache hit
mockSupabase.from.mockReturnValueOnce({
select: jest.fn().mockReturnValue({
eq: jest.fn().mockReturnValue({
single: jest.fn().mockResolvedValue({
data: { value: [mockBusiness] },
error: null
})
})
})
});
const results = await searchService.search(query, location);
// Verify cache was checked
expect(mockSupabase.from).toHaveBeenCalledWith('cache');
expect(results).toEqual([mockBusiness]);
// Verify performSearch was not called
expect(jest.spyOn(searchService as any, 'performSearch')).not.toHaveBeenCalled();
});
it('should handle rate limiting', async () => {
const searchService = new SearchService();
// Mock performSearch to throw rate limit error
jest.spyOn(searchService as any, 'performSearch')
.mockRejectedValue({ response: { status: 429 } });
const query = 'plumber in Denver';
const location = 'Denver, CO';
await expect(searchService.search(query, location))
.rejects.toThrow('Rate limit exceeded');
});
});
describe('Data Consistency', () => {
it('should maintain data consistency between search and retrieval', async () => {
const searchService = new SearchService();
const query = 'plumber in Denver';
const location = 'Denver, CO';
// Mock performSearch to return results
jest.spyOn(searchService as any, 'performSearch')
.mockResolvedValue([mockBusiness]);
// Perform search
const searchResults = await searchService.search(query, location);
const firstResult = searchResults[0];
// Mock database retrieval
mockSupabase.from.mockReturnValueOnce({
select: jest.fn().mockReturnValue({
eq: jest.fn().mockReturnValue({
single: jest.fn().mockResolvedValue({
data: firstResult,
error: null
})
})
})
});
// Retrieve the same business
const retrieved = await searchService.getBusinessById(firstResult.id);
// Verify data consistency
expect(retrieved).toEqual(firstResult);
});
});
});

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import dotenv from 'dotenv';
// Load environment variables for testing
dotenv.config({ path: '.env.test' });
// Set default timeout for all tests
jest.setTimeout(10000);
// Global setup
beforeAll(() => {
// Add any global setup here
});
// Global teardown
afterAll(() => {
// Add any global cleanup here
});
// Reset mocks between tests
afterEach(() => {
jest.clearAllMocks();
});

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import '../config/env'; // Load env vars first
import { CacheService } from '../lib/services/cacheService';
import type { PostgrestError } from '@supabase/supabase-js';
import { env } from '../config/env';
async function testSupabaseConnection() {
console.log('\n🔍 Testing Supabase Connection...');
console.log('Using Supabase URL:', env.supabase.url);
try {
// Test data
const testData = {
category: 'test_category',
location: 'test_location',
results: [{
name: 'Test Business',
phone: '123-456-7890',
email: 'test@example.com',
address: '123 Test St, Test City, TS 12345',
rating: 95,
website: 'https://test.com',
logo: '',
source: 'test',
description: 'Test business description'
}]
};
console.log('\n1⃣ Testing write operation...');
await CacheService.cacheResults(
testData.category,
testData.location,
testData.results,
env.cache.durationDays
);
console.log('✅ Write successful');
console.log('\n2⃣ Testing read operation...');
const cachedResults = await CacheService.getCachedResults(
testData.category,
testData.location
);
if (cachedResults && cachedResults.length > 0) {
console.log('✅ Read successful');
console.log('\nCached data:', JSON.stringify(cachedResults[0], null, 2));
} else {
throw new Error('No results found in cache');
}
console.log('\n3⃣ Testing update operation...');
const updatedResults = [...testData.results];
updatedResults[0].rating = 98;
await CacheService.updateCache(
testData.category,
testData.location,
updatedResults
);
console.log('✅ Update successful');
console.log('\n✨ All tests passed! Supabase connection is working properly.\n');
} catch (error: unknown) {
console.error('\n❌ Test failed:');
if (error instanceof Error) {
console.error('Error message:', error.message);
// Check if it's a Supabase error by looking at the shape of the error object
const isSupabaseError = (err: any): err is PostgrestError =>
'code' in err && 'details' in err && 'hint' in err && 'message' in err;
if (error.message.includes('connection') || isSupabaseError(error)) {
console.log('\n📋 Troubleshooting steps:');
console.log('1. Check if your SUPABASE_URL and SUPABASE_ANON_KEY are correct in .env');
console.log('2. Verify that the search_cache table exists in your Supabase project');
console.log('3. Check if RLS policies are properly configured');
if (isSupabaseError(error)) {
console.log('\nSupabase error details:');
console.log('Code:', error.code);
console.log('Details:', error.details);
console.log('Hint:', error.hint);
}
}
} else {
console.error('Unknown error:', error);
}
process.exit(1);
}
}
// Run the test
testSupabaseConnection();

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import { DeepSeekService } from '../lib/services/deepseekService';
import dotenv from 'dotenv';
dotenv.config();
async function testDeepseekService() {
const service = new DeepSeekService();
try {
console.log('Starting DeepSeek test...');
console.log('Base URL:', process.env.OLLAMA_URL || 'http://localhost:11434');
const testQuery = {
role: "user",
content: "Find plumbers in Denver, CO. You must return exactly 10 results in valid JSON format, sorted by rating from highest to lowest. Each result must include a rating between 1-5 stars. Do not include any comments or explanations in the JSON."
};
console.log('Sending test query:', testQuery);
const response = await service.chat([testQuery]);
console.log('\nTest successful!');
console.log('Parsed response:', JSON.stringify(response, null, 2));
} catch (error) {
console.error('\nTest failed!');
if (error instanceof Error) {
console.error('Error message:', error.message);
console.error('Stack trace:', error.stack);
} else {
console.error('Unknown error:', error);
}
}
}
// Run the test
console.log('=== Starting DeepSeek Service Test ===\n');
testDeepseekService().then(() => {
console.log('\n=== Test Complete ===');
}).catch(error => {
console.error('\n=== Test Failed ===');
console.error(error);
});

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import axios from 'axios';
import dotenv from 'dotenv';
dotenv.config();
async function testOllamaConnection() {
const baseUrl = process.env.OLLAMA_URL || 'http://localhost:11434';
console.log('Testing Ollama connection...');
console.log('Base URL:', baseUrl);
try {
// Simple test request
const response = await axios.post(`${baseUrl}/api/chat`, {
model: 'deepseek-coder:6.7b',
messages: [{
role: 'user',
content: 'Return a simple JSON array with one object: {"test": "success"}'
}],
stream: false
});
console.log('\nResponse received:');
console.log('Status:', response.status);
console.log('Data:', JSON.stringify(response.data, null, 2));
} catch (error) {
console.error('Connection test failed:');
if (axios.isAxiosError(error)) {
console.error('Network error:', error.message);
if (error.response) {
console.error('Response status:', error.response.status);
console.error('Response data:', error.response.data);
}
} else {
console.error('Error:', error);
}
}
}
console.log('=== Starting Ollama Connection Test ===\n');
testOllamaConnection().then(() => {
console.log('\n=== Test Complete ===');
}).catch(error => {
console.error('\n=== Test Failed ===');
console.error(error);
});

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import { searchSearxng } from '../lib/searxng';
async function testSearchEngine() {
try {
console.log('Testing SearxNG connection...');
const results = await searchSearxng('plumbers in Denver', {
engines: ['google', 'bing', 'duckduckgo'],
pageno: 1
});
if (results && results.results && results.results.length > 0) {
console.log('✅ Search successful!');
console.log('Number of results:', results.results.length);
console.log('First result:', results.results[0]);
} else {
console.log('❌ No results found');
}
} catch (error) {
console.error('❌ Search test failed:', error);
console.error('Make sure SearxNG is running on http://localhost:4000');
}
}
testSearchEngine();

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export interface Business {
id: string;
name: string;
phone: string;
address: string;
city: string;
state: string;
zip: string;
category: string[];
rating: number;
reviewCount: number;
license?: string;
services: string[];
hours: Record<string, string>;
website?: string;
email?: string;
verified: boolean;
lastUpdated: Date;
}
export interface SearchParams {
location: string;
category?: string;
radius?: number;
minRating?: number;
sortBy?: 'rating' | 'distance' | 'reviewCount';
verified?: boolean;
}

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import net from 'net';
export function isPortAvailable(port: number | string): Promise<boolean> {
return new Promise((resolve) => {
const server = net.createServer();
server.once('error', () => {
resolve(false);
});
server.once('listening', () => {
server.close();
resolve(true);
});
server.listen(port);
});
}

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supabase/.gitignore vendored Normal file
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# Supabase
.branches
.temp
.env

275
supabase/config.toml Normal file
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# For detailed configuration reference documentation, visit:
# https://supabase.com/docs/guides/local-development/cli/config
# A string used to distinguish different Supabase projects on the same host. Defaults to the
# working directory name when running `supabase init`.
project_id = "BizSearch"
[api]
enabled = true
# Port to use for the API URL.
port = 54321
# Schemas to expose in your API. Tables, views and stored procedures in this schema will get API
# endpoints. `public` is always included.
schemas = ["public", "graphql_public"]
# Extra schemas to add to the search_path of every request. `public` is always included.
extra_search_path = ["public", "extensions"]
# The maximum number of rows returns from a view, table, or stored procedure. Limits payload size
# for accidental or malicious requests.
max_rows = 1000
[api.tls]
enabled = false
[db]
# Port to use for the local database URL.
port = 54322
# Port used by db diff command to initialize the shadow database.
shadow_port = 54320
# The database major version to use. This has to be the same as your remote database's. Run `SHOW
# server_version;` on the remote database to check.
major_version = 15
[db.pooler]
enabled = false
# Port to use for the local connection pooler.
port = 54329
# Specifies when a server connection can be reused by other clients.
# Configure one of the supported pooler modes: `transaction`, `session`.
pool_mode = "transaction"
# How many server connections to allow per user/database pair.
default_pool_size = 20
# Maximum number of client connections allowed.
max_client_conn = 100
[db.seed]
# If enabled, seeds the database after migrations during a db reset.
enabled = true
# Specifies an ordered list of seed files to load during db reset.
# Supports glob patterns relative to supabase directory. For example:
# sql_paths = ['./seeds/*.sql', '../project-src/seeds/*-load-testing.sql']
sql_paths = ['./seed.sql']
[realtime]
enabled = true
# Bind realtime via either IPv4 or IPv6. (default: IPv4)
# ip_version = "IPv6"
# The maximum length in bytes of HTTP request headers. (default: 4096)
# max_header_length = 4096
[studio]
enabled = true
# Port to use for Supabase Studio.
port = 54323
# External URL of the API server that frontend connects to.
api_url = "http://127.0.0.1"
# OpenAI API Key to use for Supabase AI in the Supabase Studio.
openai_api_key = "env(OPENAI_API_KEY)"
# Email testing server. Emails sent with the local dev setup are not actually sent - rather, they
# are monitored, and you can view the emails that would have been sent from the web interface.
[inbucket]
enabled = true
# Port to use for the email testing server web interface.
port = 54324
# Uncomment to expose additional ports for testing user applications that send emails.
# smtp_port = 54325
# pop3_port = 54326
# admin_email = "admin@email.com"
# sender_name = "Admin"
[storage]
enabled = true
# The maximum file size allowed (e.g. "5MB", "500KB").
file_size_limit = "50MiB"
[storage.image_transformation]
enabled = true
# Uncomment to configure local storage buckets
# [storage.buckets.images]
# public = false
# file_size_limit = "50MiB"
# allowed_mime_types = ["image/png", "image/jpeg"]
# objects_path = "./images"
[auth]
enabled = true
# The base URL of your website. Used as an allow-list for redirects and for constructing URLs used
# in emails.
site_url = "http://127.0.0.1:3000"
# A list of *exact* URLs that auth providers are permitted to redirect to post authentication.
additional_redirect_urls = ["https://127.0.0.1:3000"]
# How long tokens are valid for, in seconds. Defaults to 3600 (1 hour), maximum 604,800 (1 week).
jwt_expiry = 3600
# If disabled, the refresh token will never expire.
enable_refresh_token_rotation = true
# Allows refresh tokens to be reused after expiry, up to the specified interval in seconds.
# Requires enable_refresh_token_rotation = true.
refresh_token_reuse_interval = 10
# Allow/disallow new user signups to your project.
enable_signup = true
# Allow/disallow anonymous sign-ins to your project.
enable_anonymous_sign_ins = false
# Allow/disallow testing manual linking of accounts
enable_manual_linking = false
# Passwords shorter than this value will be rejected as weak. Minimum 6, recommended 8 or more.
minimum_password_length = 6
# Passwords that do not meet the following requirements will be rejected as weak. Supported values
# are: `letters_digits`, `lower_upper_letters_digits`, `lower_upper_letters_digits_symbols`
password_requirements = ""
[auth.email]
# Allow/disallow new user signups via email to your project.
enable_signup = true
# If enabled, a user will be required to confirm any email change on both the old, and new email
# addresses. If disabled, only the new email is required to confirm.
double_confirm_changes = true
# If enabled, users need to confirm their email address before signing in.
enable_confirmations = false
# If enabled, users will need to reauthenticate or have logged in recently to change their password.
secure_password_change = false
# Controls the minimum amount of time that must pass before sending another signup confirmation or password reset email.
max_frequency = "1s"
# Number of characters used in the email OTP.
otp_length = 6
# Number of seconds before the email OTP expires (defaults to 1 hour).
otp_expiry = 3600
# Use a production-ready SMTP server
# [auth.email.smtp]
# host = "smtp.sendgrid.net"
# port = 587
# user = "apikey"
# pass = "env(SENDGRID_API_KEY)"
# admin_email = "admin@email.com"
# sender_name = "Admin"
# Uncomment to customize email template
# [auth.email.template.invite]
# subject = "You have been invited"
# content_path = "./supabase/templates/invite.html"
[auth.sms]
# Allow/disallow new user signups via SMS to your project.
enable_signup = false
# If enabled, users need to confirm their phone number before signing in.
enable_confirmations = false
# Template for sending OTP to users
template = "Your code is {{ .Code }}"
# Controls the minimum amount of time that must pass before sending another sms otp.
max_frequency = "5s"
# Use pre-defined map of phone number to OTP for testing.
# [auth.sms.test_otp]
# 4152127777 = "123456"
# Configure logged in session timeouts.
# [auth.sessions]
# Force log out after the specified duration.
# timebox = "24h"
# Force log out if the user has been inactive longer than the specified duration.
# inactivity_timeout = "8h"
# This hook runs before a token is issued and allows you to add additional claims based on the authentication method used.
# [auth.hook.custom_access_token]
# enabled = true
# uri = "pg-functions://<database>/<schema>/<hook_name>"
# Configure one of the supported SMS providers: `twilio`, `twilio_verify`, `messagebird`, `textlocal`, `vonage`.
[auth.sms.twilio]
enabled = false
account_sid = ""
message_service_sid = ""
# DO NOT commit your Twilio auth token to git. Use environment variable substitution instead:
auth_token = "env(SUPABASE_AUTH_SMS_TWILIO_AUTH_TOKEN)"
[auth.mfa]
# Control how many MFA factors can be enrolled at once per user.
max_enrolled_factors = 10
# Control use of MFA via App Authenticator (TOTP)
[auth.mfa.totp]
enroll_enabled = true
verify_enabled = true
# Configure Multi-factor-authentication via Phone Messaging
[auth.mfa.phone]
enroll_enabled = false
verify_enabled = false
otp_length = 6
template = "Your code is {{ .Code }}"
max_frequency = "5s"
# Configure Multi-factor-authentication via WebAuthn
# [auth.mfa.web_authn]
# enroll_enabled = true
# verify_enabled = true
# Use an external OAuth provider. The full list of providers are: `apple`, `azure`, `bitbucket`,
# `discord`, `facebook`, `github`, `gitlab`, `google`, `keycloak`, `linkedin_oidc`, `notion`, `twitch`,
# `twitter`, `slack`, `spotify`, `workos`, `zoom`.
[auth.external.apple]
enabled = false
client_id = ""
# DO NOT commit your OAuth provider secret to git. Use environment variable substitution instead:
secret = "env(SUPABASE_AUTH_EXTERNAL_APPLE_SECRET)"
# Overrides the default auth redirectUrl.
redirect_uri = ""
# Overrides the default auth provider URL. Used to support self-hosted gitlab, single-tenant Azure,
# or any other third-party OIDC providers.
url = ""
# If enabled, the nonce check will be skipped. Required for local sign in with Google auth.
skip_nonce_check = false
# Use Firebase Auth as a third-party provider alongside Supabase Auth.
[auth.third_party.firebase]
enabled = false
# project_id = "my-firebase-project"
# Use Auth0 as a third-party provider alongside Supabase Auth.
[auth.third_party.auth0]
enabled = false
# tenant = "my-auth0-tenant"
# tenant_region = "us"
# Use AWS Cognito (Amplify) as a third-party provider alongside Supabase Auth.
[auth.third_party.aws_cognito]
enabled = false
# user_pool_id = "my-user-pool-id"
# user_pool_region = "us-east-1"
[edge_runtime]
enabled = true
# Configure one of the supported request policies: `oneshot`, `per_worker`.
# Use `oneshot` for hot reload, or `per_worker` for load testing.
policy = "oneshot"
# Port to attach the Chrome inspector for debugging edge functions.
inspector_port = 8083
# Use these configurations to customize your Edge Function.
# [functions.MY_FUNCTION_NAME]
# enabled = true
# verify_jwt = true
# import_map = "./functions/MY_FUNCTION_NAME/deno.json"
# Uncomment to specify a custom file path to the entrypoint.
# Supported file extensions are: .ts, .js, .mjs, .jsx, .tsx
# entrypoint = "./functions/MY_FUNCTION_NAME/index.ts"
[analytics]
enabled = true
port = 54327
# Configure one of the supported backends: `postgres`, `bigquery`.
backend = "postgres"
# Experimental features may be deprecated any time
[experimental]
# Configures Postgres storage engine to use OrioleDB (S3)
orioledb_version = ""
# Configures S3 bucket URL, eg. <bucket_name>.s3-<region>.amazonaws.com
s3_host = "env(S3_HOST)"
# Configures S3 bucket region, eg. us-east-1
s3_region = "env(S3_REGION)"
# Configures AWS_ACCESS_KEY_ID for S3 bucket
s3_access_key = "env(S3_ACCESS_KEY)"
# Configures AWS_SECRET_ACCESS_KEY for S3 bucket
s3_secret_key = "env(S3_SECRET_KEY)"

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-- Create businesses table
CREATE TABLE IF NOT EXISTS public.businesses (
id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
name TEXT NOT NULL,
address TEXT NOT NULL,
phone TEXT NOT NULL,
description TEXT NOT NULL,
website TEXT,
source TEXT NOT NULL,
rating REAL,
location POINT,
created_at TIMESTAMPTZ DEFAULT NOW(),
updated_at TIMESTAMPTZ DEFAULT NOW()
);
-- Create indexes
CREATE INDEX IF NOT EXISTS idx_businesses_source ON public.businesses(source);
CREATE INDEX IF NOT EXISTS idx_businesses_rating ON public.businesses(rating);
CREATE INDEX IF NOT EXISTS idx_businesses_location ON public.businesses USING GIST(location);
-- Enable Row Level Security (RLS)
ALTER TABLE public.businesses ENABLE ROW LEVEL SECURITY;
-- Create policies
CREATE POLICY "Allow public read access"
ON public.businesses
FOR SELECT
USING (true);
CREATE POLICY "Allow service role insert/update"
ON public.businesses
FOR ALL
USING (auth.role() = 'service_role');
-- Create function to update updated_at timestamp
CREATE OR REPLACE FUNCTION update_updated_at_column()
RETURNS TRIGGER AS $$
BEGIN
NEW.updated_at = NOW();
RETURN NEW;
END;
$$ language 'plpgsql';
-- Create trigger for updated_at
CREATE TRIGGER update_businesses_updated_at
BEFORE UPDATE ON public.businesses
FOR EACH ROW
EXECUTE FUNCTION update_updated_at_column();
-- Create the searches table
CREATE TABLE searches (
id BIGSERIAL PRIMARY KEY,
query TEXT NOT NULL,
results JSONB NOT NULL DEFAULT '[]',
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
);
-- Create an index on the query column for faster lookups
CREATE INDEX searches_query_idx ON searches USING GIN (to_tsvector('english', query));
-- Create a function to update the updated_at timestamp
CREATE OR REPLACE FUNCTION update_updated_at_column()
RETURNS TRIGGER AS $$
BEGIN
NEW.updated_at = CURRENT_TIMESTAMP;
RETURN NEW;
END;
$$ language 'plpgsql';
-- Create a trigger to automatically update the updated_at column
CREATE TRIGGER update_searches_updated_at
BEFORE UPDATE ON searches
FOR EACH ROW
EXECUTE FUNCTION update_updated_at_column();

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-- Create business_profiles table
CREATE TABLE IF NOT EXISTS public.business_profiles (
business_id TEXT PRIMARY KEY REFERENCES public.businesses(id),
claimed_by UUID REFERENCES auth.users(id),
claimed_at TIMESTAMP WITH TIME ZONE,
verification_status TEXT NOT NULL DEFAULT 'unverified',
social_links JSONB DEFAULT '{}',
hours_of_operation JSONB DEFAULT '{}',
additional_photos TEXT[] DEFAULT '{}',
tags TEXT[] DEFAULT '{}',
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT valid_verification_status CHECK (verification_status IN ('unverified', 'pending', 'verified', 'rejected'))
);
-- Create business_claims table to track claim requests
CREATE TABLE IF NOT EXISTS public.business_claims (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
business_id TEXT NOT NULL REFERENCES public.businesses(id),
user_id UUID NOT NULL REFERENCES auth.users(id),
status TEXT NOT NULL DEFAULT 'pending',
proof_documents TEXT[] DEFAULT '{}',
submitted_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
reviewed_at TIMESTAMP WITH TIME ZONE,
reviewed_by UUID REFERENCES auth.users(id),
notes TEXT,
CONSTRAINT valid_claim_status CHECK (status IN ('pending', 'approved', 'rejected'))
);
-- Create indexes
CREATE INDEX IF NOT EXISTS idx_business_profiles_claimed_by ON public.business_profiles(claimed_by);
CREATE INDEX IF NOT EXISTS idx_business_claims_business_id ON public.business_claims(business_id);
CREATE INDEX IF NOT EXISTS idx_business_claims_user_id ON public.business_claims(user_id);
CREATE INDEX IF NOT EXISTS idx_business_claims_status ON public.business_claims(status);
-- Add RLS policies
ALTER TABLE public.business_profiles ENABLE ROW LEVEL SECURITY;
ALTER TABLE public.business_claims ENABLE ROW LEVEL SECURITY;
-- Policies for business_profiles
CREATE POLICY "Public profiles are viewable by everyone"
ON public.business_profiles FOR SELECT
USING (true);
CREATE POLICY "Profiles can be updated by verified owners"
ON public.business_profiles FOR UPDATE
USING (auth.uid() = claimed_by AND verification_status = 'verified');
-- Policies for business_claims
CREATE POLICY "Users can view their own claims"
ON public.business_claims FOR SELECT
USING (auth.uid() = user_id);
CREATE POLICY "Users can create claims"
ON public.business_claims FOR INSERT
WITH CHECK (auth.uid() = user_id);
CREATE POLICY "Only admins can review claims"
ON public.business_claims FOR UPDATE
USING (EXISTS (
SELECT 1 FROM auth.users
WHERE auth.uid() = id
AND raw_app_meta_data->>'role' = 'admin'
));

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-- Function to create businesses table
CREATE OR REPLACE FUNCTION create_businesses_table()
RETURNS void AS $$
BEGIN
CREATE TABLE IF NOT EXISTS public.businesses (
id TEXT PRIMARY KEY,
name TEXT NOT NULL,
phone TEXT,
email TEXT,
address TEXT,
rating NUMERIC,
website TEXT,
description TEXT,
source TEXT,
logo TEXT,
latitude NUMERIC,
longitude NUMERIC,
last_updated TIMESTAMP WITH TIME ZONE DEFAULT timezone('utc'::text, now()),
search_count INTEGER DEFAULT 1,
created_at TIMESTAMP WITH TIME ZONE DEFAULT timezone('utc'::text, now()),
place_id TEXT
);
END;
$$ LANGUAGE plpgsql;
-- Function to create business_profiles table
CREATE OR REPLACE FUNCTION create_business_profiles_table()
RETURNS void AS $$
BEGIN
CREATE TABLE IF NOT EXISTS public.business_profiles (
business_id TEXT PRIMARY KEY REFERENCES public.businesses(id),
claimed_by UUID REFERENCES auth.users(id),
claimed_at TIMESTAMP WITH TIME ZONE,
verification_status TEXT NOT NULL DEFAULT 'unverified',
social_links JSONB DEFAULT '{}',
hours_of_operation JSONB DEFAULT '{}',
additional_photos TEXT[] DEFAULT '{}',
tags TEXT[] DEFAULT '{}',
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT valid_verification_status CHECK (verification_status IN ('unverified', 'pending', 'verified', 'rejected'))
);
-- Create business_claims table
CREATE TABLE IF NOT EXISTS public.business_claims (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
business_id TEXT NOT NULL REFERENCES public.businesses(id),
user_id UUID NOT NULL REFERENCES auth.users(id),
status TEXT NOT NULL DEFAULT 'pending',
proof_documents TEXT[] DEFAULT '{}',
submitted_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
reviewed_at TIMESTAMP WITH TIME ZONE,
reviewed_by UUID REFERENCES auth.users(id),
notes TEXT,
CONSTRAINT valid_claim_status CHECK (status IN ('pending', 'approved', 'rejected'))
);
-- Create indexes
CREATE INDEX IF NOT EXISTS idx_business_profiles_claimed_by ON public.business_profiles(claimed_by);
CREATE INDEX IF NOT EXISTS idx_business_claims_business_id ON public.business_claims(business_id);
CREATE INDEX IF NOT EXISTS idx_business_claims_user_id ON public.business_claims(user_id);
CREATE INDEX IF NOT EXISTS idx_business_claims_status ON public.business_claims(status);
-- Add RLS policies
ALTER TABLE public.business_profiles ENABLE ROW LEVEL SECURITY;
ALTER TABLE public.business_claims ENABLE ROW LEVEL SECURITY;
-- Policies for business_profiles
DROP POLICY IF EXISTS "Public profiles are viewable by everyone" ON public.business_profiles;
CREATE POLICY "Public profiles are viewable by everyone"
ON public.business_profiles FOR SELECT
USING (true);
DROP POLICY IF EXISTS "Profiles can be updated by verified owners" ON public.business_profiles;
CREATE POLICY "Profiles can be updated by verified owners"
ON public.business_profiles FOR UPDATE
USING (auth.uid() = claimed_by AND verification_status = 'verified');
-- Policies for business_claims
DROP POLICY IF EXISTS "Users can view their own claims" ON public.business_claims;
CREATE POLICY "Users can view their own claims"
ON public.business_claims FOR SELECT
USING (auth.uid() = user_id);
DROP POLICY IF EXISTS "Users can create claims" ON public.business_claims;
CREATE POLICY "Users can create claims"
ON public.business_claims FOR INSERT
WITH CHECK (auth.uid() = user_id);
DROP POLICY IF EXISTS "Only admins can review claims" ON public.business_claims;
CREATE POLICY "Only admins can review claims"
ON public.business_claims FOR UPDATE
USING (EXISTS (
SELECT 1 FROM auth.users
WHERE auth.uid() = id
AND raw_app_meta_data->>'role' = 'admin'
));
END;
$$ LANGUAGE plpgsql;

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-- Function to review business claims
CREATE OR REPLACE FUNCTION review_business_claim(
p_claim_id UUID,
p_business_id TEXT,
p_user_id UUID,
p_status TEXT,
p_notes TEXT DEFAULT NULL
) RETURNS void AS $$
BEGIN
-- Start transaction
BEGIN
-- Update claim status
UPDATE public.business_claims
SET
status = p_status,
reviewed_at = CURRENT_TIMESTAMP,
reviewed_by = p_user_id,
notes = COALESCE(p_notes, notes)
WHERE id = p_claim_id;
-- If approved, update business profile
IF p_status = 'approved' THEN
-- Get the user_id from the claim
WITH claim_user AS (
SELECT user_id
FROM public.business_claims
WHERE id = p_claim_id
)
INSERT INTO public.business_profiles (
business_id,
claimed_by,
claimed_at,
verification_status
)
SELECT
p_business_id,
user_id,
CURRENT_TIMESTAMP,
'verified'
FROM claim_user
ON CONFLICT (business_id)
DO UPDATE SET
claimed_by = EXCLUDED.claimed_by,
claimed_at = EXCLUDED.claimed_at,
verification_status = EXCLUDED.verification_status;
END IF;
-- Reject any other pending claims for this business
IF p_status = 'approved' THEN
UPDATE public.business_claims
SET
status = 'rejected',
reviewed_at = CURRENT_TIMESTAMP,
reviewed_by = p_user_id,
notes = COALESCE(notes, '') || E'\nAutomatically rejected due to another approved claim.'
WHERE
business_id = p_business_id
AND id != p_claim_id
AND status = 'pending';
END IF;
END;
END;
$$ LANGUAGE plpgsql;

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-- Insert test business
INSERT INTO public.businesses (
id,
name,
phone,
email,
address,
rating,
website,
description,
source
) VALUES (
'test-business-1',
'Test Coffee Shop',
'303-555-0123',
'contact@testcoffee.com',
'123 Test St, Denver, CO 80202',
4.5,
'https://testcoffee.com',
'A cozy coffee shop in downtown Denver serving artisanal coffee and pastries.',
'manual'
) ON CONFLICT (id) DO NOTHING;
-- Insert test business profile
INSERT INTO public.business_profiles (
business_id,
verification_status,
social_links,
hours_of_operation,
tags
) VALUES (
'test-business-1',
'unverified',
'{"facebook": "https://facebook.com/testcoffee", "instagram": "https://instagram.com/testcoffee"}',
'{"monday": ["7:00", "19:00"], "tuesday": ["7:00", "19:00"], "wednesday": ["7:00", "19:00"], "thursday": ["7:00", "19:00"], "friday": ["7:00", "20:00"], "saturday": ["8:00", "20:00"], "sunday": ["8:00", "18:00"]}',
ARRAY['coffee', 'pastries', 'breakfast', 'lunch']
) ON CONFLICT (business_id) DO NOTHING;

12
tailwind.config.js Normal file
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@ -0,0 +1,12 @@
module.exports = {
content: ['./public/**/*.{html,js}'],
theme: {
extend: {
colors: {
primary: '#2563eb',
'primary-hover': '#1d4ed8',
},
},
},
plugins: [],
}

View file

@ -1,18 +1,17 @@
{ {
"compilerOptions": { "compilerOptions": {
"lib": ["ESNext"], "target": "ES2020",
"module": "Node16", "module": "commonjs",
"moduleResolution": "Node16", "lib": ["es2020", "DOM"],
"target": "ESNext", "outDir": "./dist",
"outDir": "dist", "rootDir": "./src",
"sourceMap": false, "strict": true,
"esModuleInterop": true, "esModuleInterop": true,
"experimentalDecorators": true,
"emitDecoratorMetadata": true,
"allowSyntheticDefaultImports": true,
"skipLibCheck": true, "skipLibCheck": true,
"skipDefaultLibCheck": true "forceConsistentCasingInFileNames": true,
"moduleResolution": "node",
"resolveJsonModule": true
}, },
"include": ["src"], "include": ["src/**/*"],
"exclude": ["node_modules", "**/*.spec.ts"] "exclude": ["node_modules", "dist"]
} }

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