Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/brightness999/restaurant_menu_api


https://github.com/brightness999/restaurant_menu_api

Last synced: 9 days ago
JSON representation

Awesome Lists containing this project

README

        

# Restaurant Menu API

This repository contains a simple GraphQL API for a restaurant menu application. The API is built using Node.js and Express, and it provides data for various menu categories.

## Getting Started

Follow these instructions to run the API locally on your machine.

### Prerequisites

Make sure you have the following installed on your machine:

- Node.js (https://nodejs.org/)
- npm (Node.js package manager, comes with Node.js)

### Installation

1. **Clone the repository to your local machine.**

```bash
git clone https://github.com/Brightness999/Restaurant_menu_api.git
```

2. **Navigate to the project directory.**

```bash
cd restaurant-menu-api
```

3. **Install the dependencies.**

```bash
npm install
```

### Running the API

1. **Start the GraphQL server.**

```bash
node index.js
```

The server will start running on http://localhost:3000/graphql.

2. **Open your web browser and go to http://localhost:3000/graphql to access the GraphQL Playground.**

## Testing Queries

Use the GraphQL Playground to test queries and explore the available menu data.

1. In the left panel, write and run queries. For example:

```graphql
query {
getAppetizers {
name
price
}
}
```

2. Click the "Play" button or press `Ctrl + Enter` to execute the query.

3. Explore other queries such as `getEntrees`, `getSandwiches`, etc.

## Customization

Feel free to customize the API or extend its functionality. You can modify the data structure, add mutations, or connect the API to a real database.

## Additional Notes

- The menu data is currently stored in a local state for demonstration purposes. In a real-world scenario, you would connect the API to a database for persistent storage.

- If you encounter any issues or have questions, please reach out to [email protected].

---

**Note:** This is a simple example, and in a production environment, you would need to consider security, error handling, and other best practices.