The Best AI - Music Playlist Database

A database-driven website to store and browse music playlists organized by year, with MongoDB full-text search functionality.

Features

• View playlists by year - Browse all playlists created in a specific year
• View available years - See which years have playlists
• Full-text search - Search for tracks using MongoDB's full-text search
• Database-driven - All data stored in MongoDB, read-only web interface
• Vercel deployment - Easily deploy to Vercel with serverless functions

Project Structure

thebestai/
├── api/
│   ├── _db.js            # MongoDB connection and schema helper
│   ├── years.js          # GET /api/years
│   ├── playlists.js      # GET /api/playlists?year=YYYY
│   ├── search.js         # GET /api/search?q=QUERY
│   └── health.js         # GET /api/health
├── public/
│   ├── index.html        # Main page
│   ├── style.css         # Styling
│   └── script.js         # Frontend logic
├── server/
│   └── index.js          # Express server (legacy, for reference)
├── package.json          # Dependencies
├── vercel.json           # Vercel configuration
├── .env.example          # Environment variables template
└── README.md             # This file

Database Schema

The MongoDB best collection stores individual track documents with the following structure:

{
  "_id": ObjectId,
  "year": "string",
  "playlistFolder": "string",
  "playlist": "string",
  "track": "string",
  "album": "string",
  "artist": "string",
  "albumArtist": "string",
  "duration": "number",
  "time": "string",
  "genre": "string",
  "trackNumber": "number",
  "author": "string"
}

Example Document:

{
  "_id": "5c425c23d79687af85bc63c7",
  "year": "2007",
  "playlistFolder": "2007 - 50 Best Right Now",
  "playlist": "Alex's 50",
  "track": "Easy Listen' Blues",
  "album": "The Trio",
  "artist": "Oscar Peterson",
  "albumArtist": "",
  "duration": 466.8659973,
  "time": "7:46",
  "genre": "Jazz",
  "trackNumber": 3,
  "author": "Alex"
}

Setup

Local Development

1. Clone the repository
2. Copy .env.example to .env and configure MongoDB URI:

   cp .env.example .env

3. Install dependencies:

   npm install

4. Install Vercel CLI (if not already installed):

   npm install -g vercel

5. Start the development server with Vercel:

   vercel dev

   This runs the app with Vercel's serverless environment, recognizing the api/ routes.
6. Open http://localhost:3000 in your browser

Note: Use vercel dev for local testing, not npm start. The app uses Vercel serverless API routes (api/ directory) for backend functionality.

MongoDB Full-Text Search Setup

Ensure your MongoDB collection has a text index on the searchable fields:

db.best.createIndex({
  "track": "text",
  "artist": "text",
  "album": "text",
  "playlist": "text",
  "author": "text",
  "genre": "text"
})

Deployment to Vercel

Prerequisites

• Vercel account (https://vercel.com)
• GitHub repository with this code
• MongoDB Atlas URI (or other MongoDB instance with network access)

Deployment Steps

1. Push to GitHub

   git init
   git add .
   git commit -m "Initial commit"
   git remote add origin <your-repo-url>
   git push -u origin main

2. Import to Vercel

   • Go to https://vercel.com/new
   • Select "Import Git Repository"
   • Choose your repository
   • Click "Import"

3. Configure Environment Variables

   • In Vercel project settings, go to "Environment Variables"
   • Add MONGODB_URI with your MongoDB connection string
   • Add PORT (optional, defaults to 3000)
   • Redeploy after adding variables

4. Enable Serverless Functions

   • Vercel automatically converts your Express app to serverless functions
   • The vercel.json configuration handles routing

5. Test Deployment

   • Visit your Vercel deployment URL
   • Test all functionality (years, playlists, search)

API Endpoints

• GET /api/years - Get all years with playlists
• GET /api/playlists/:year - Get all playlists for a specific year
• GET /api/search?q=query - Search tracks using MongoDB full-text search
• GET /api/health - Health check endpoint

Important Notes

• The web interface is read-only - data can only be modified via direct database access
• Full-text search requires a text index on the MongoDB collection
• MongoDB Atlas free tier supports text search
• Ensure your MongoDB instance has network access enabled for Vercel's IP addresses