LocalBytes is a web application designed to help users discover local restaurants in Columbia. The platform allows users to filter restaurants based on price range and rating to find dining options that match their needs. Users can leave comments and share their experiences, making it easier for others to find the perfect local dining spot without visiting multiple restaurant websites.

🌐 Hosted Application: https://localbytes.vercel.app 📽️ Presentation Slides: View our presentation slides here

• 📋 Details Page: Find restaurant details including address, average rating, and user comments
• 🔍 Advanced Filtering: Filter by price range and restaurant rating
• 🗺️ Mapbox Integration: View restaurant locations on a map
• 💬 User Comments: Create, edit, and delete comments and view comments left by other users

• Frontend: Angular application
• Backend: Express/Node.js API
• Database: MongoDB for data storage

[!💡 TIP] The frontend has prettier and eslint configured. You can run the following commands to format the code:
npm run format - to format the code
npm run lint - to lint the code

frontend/
├── src/
│   ├── app/
│   │   ├── components/  # Reusable components (@components)
│   │   ├── models/      # Data models (interfaces) (@models)
│   │   ├── pages/       # Application pages (components) (@pages)
│   │   ├── services/    # API services (@services)
│   │   ├── app.config.ts # Main configuration file
│   │   ├── app.module.ts # Main module
│   │   └── app.routes.ts # Main routing file (define routes here)
│   ├── environments/    # Environment configuration (@environment)
│   │   └── environment.ts # Main environment file (define environment variables here)
│   ├── index.html       # Index html file
├── angular.json         # Angular configuration file
├── package.json         # Frontend package file
└── tsconfig.json        # TypeScript configuration file

[!💡 TIP] The API is documented with apidoc and is available by default at http://localhost:5000/api-docs. You can run the following command to generate the documentation:
npm run docs - to generate the documentation

backend/
├── controllers/         # Methods for handling API requests from the frontend
├── docs/                # Automatically generated API documentation
├── models/              # Mongoose models for MongoDB collections
├── routes/              # Definitions for API routes
├── services/            # Services for handling API requests to the outside
├── utils/               # Utility functions
│   ├── config.js        # Handles environment variables
|   ├── db.js            # Handles database connection
│   ├── helpers.js       # General helper functions
│   ├── serverUtils.js   # Handles port normalization
│   └── components/      # Reusable components (@components)
├── index.js             # Backend entry point
└── package.json         # Backend package file

• Node.js
• MongoDB database

1. Create environment.ts using the example environment.ts file and update the values with your keys.
2. Install dependencies:

   cd frontend
   npm install

3. Run the frontend server:

   ng serve

   The application will be available at http://localhost:4200.

1. Install dependencies:

   cd backend
   npm install

2. Add a .env file in the root of the repository using the example.env file and replace the values with your own keys.
3. Seed data into your database:

   npm run seed <query>

   Replace <query> with a Google Maps search query.
4. Run the backend server:

   npm run dev

   The API will run on http://localhost:5000.

cd backend
npx nodemon --watch routes --ext js --exec "npm run docs"

Optional command to live update the docs when changes are made to the routes.

• Harrison Surma (Full Stack Developer)
• Sam Whitaker (Frontend Developer & Designer)
• Tom Winterton (Frontend Developer & Hosting)
• Luke Deffenbaugh (Backend Developer)