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Restaurant Menu

A simple, maintainable restaurant menu application — kataloguing menu items, categories, prices, and descriptions so you can display, browse, and manage a restaurant menu. This repository contains the source code and documentation for building, running, and contributing to the project.

Repository: brukcodes/restaurant-menu

Table of contents

About

Restaurant Menu provides a simple, user-friendly way to present a restaurant's menu. It can be used as:

  • A static menu site for customers
  • A developer-focused API for menu management
  • A base project for POS or ordering system integrations

This README is intentionally generic — adjust sections marked with placeholders to match your project's language, package manager, and runtime.

Features

  • Categorized menu items (e.g., Starters, Mains, Desserts, Drinks)
  • Item metadata: name, description, price, dietary labels (vegan, gluten-free)
  • Search and filtering (by category, price range, dietary tags)
  • Simple admin interface (add/edit/remove items) — if included in the repo
  • RESTful API endpoints for CRUD operations — if included in the repo

Tech stack

Update this section to reflect the actual stack in the repository. Examples:

  • Frontend: React, Vue, or static HTML/CSS
  • Backend: Node.js (Express), Python (Flask/FastAPI), or serverless functions
  • Data store: JSON file, SQLite, MongoDB, or Postgres

Example placeholder;

  • Node.js 18+, npm or yarn
  • PostgreSQL (optional)
  • Docker (optional)

Quick start

These are example instructions. Replace commands and files below with those used in your repo.

Prerequisites

  • Node.js (>=18) and npm, or
  • Python 3.9+, pip, and virtualenv, or
  • Docker (optional)

Clone the repo

git clone https://github.com/brukcodes/restaurant-menu.git
cd restaurant-menu

If this is a Node.js project

# install dependencies
npm install

# run in development
npm run dev

# build (if applicable)
npm run build

# start production server
npm start

If this is a Python project (Flask / FastAPI)

python -m venv .venv
source .venv/bin/activate  # macOS/Linux
.venv\Scripts\activate     # Windows

pip install -r requirements.txt

# run dev server (example for Flask)
export FLASK_APP=app.py
export FLASK_ENV=development
flask run

With Docker

# build the image
docker build -t restaurant-menu .

# run the container
docker run -p 3000:3000 restaurant-menu

Configuration

Create a .env file in the project root and set any required environment variables. Example;

PORT=3000
DATABASE_URL=postgres://user:password@localhost:5432/restaurant_menu
NODE_ENV=development
SECRET_KEY=replace-with-secure-value

Adjust keys to match the configuration variables used in your code.

Usage examples

If the project exposes an API, example endpoints might look like:

  • GET /api/menu — list all categories and items
  • GET /api/menu/items — list all items
  • GET /api/menu/items/:id — single item
  • POST /api/menu/items — create item (admin)
  • PUT /api/menu/items/:id — update item (admin)
  • DELETE /api/menu/items/:id — delete item (admin)

Example curl

# list menu
curl http://localhost:3000/api/menu

# add an item (JSON)
curl -X POST http://localhost:3000/api/menu/items \
  -H "Content-Type: application/json" \
  -d '{"name":"Margherita","category":"Mains","price":10.50,"tags":["vegetarian"]}'

Development

Suggested developer commands (update to match your package scripts):

  • Install dependencies: npm install or pip install -r requirements.txt
  • Start dev server: npm run dev or flask run
  • Lint: npm run lint (ESLint) or flake8
  • Format: npm run format (prettier) or black
  • Build: npm run build

If the repo uses Git hooks, run:

# install Husky hooks (Node example)
npx husky install

Testing

Add and update tests to match your stack. Example Node.js:

npm test

Example Python:

pytest

Aim for unit tests for core logic (price calculation, filtering) and integration tests for API endpoints.

Folder structure (suggested)

Update to reflect the actual structure in this repository.

.
├── README.md
├── package.json / pyproject.toml
├── src/                # application source code
│   ├── server/         # backend or API
│   └── client/         # frontend app
├── data/               # sample JSON or seed data
├── tests/              # test suites
└── docker/             # Docker files and compose

Contributing

Contributions are welcome. Suggested process:

  1. Fork the repository
  2. Create a feature branch: git checkout -b feat/your-feature
  3. Commit changes with clear messages
  4. Open a Pull Request describing purpose and changes
  5. Ensure tests pass and linters are green

Add a CODE_OF_CONDUCT.md and CONTRIBUTING.md if you want formal contribution guidelines.

License

Choose and add a license file (e.g., MIT, Apache-2.0). Example:

MIT License

Contact

Maintainer: brukcodes

For questions, issues, or feature requests, open an issue in the repository: https://github.com/brukcodes/restaurant-menu/issues


Feel free to ask me to adapt this README to the specific tech stack and commands used in your repository — I can update install/run instructions, examples, and badges accordingly.

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