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This project is a modular kitchen and ordering API built with Flask, designed to streamline the management of food orders within a microservices architecture. It provides a RESTful interface for scheduling, tracking, updating, and canceling kitchen orders, making it ideal for restaurant automation, cloud kitchens, or food delivery platforms.

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🧾 Orders API with FastAPI – A Beginner-Friendly Guide

Kitchen and Ordering API

About

This project is a modular kitchen and ordering API built with Flask, designed to streamline the management of food orders within a microservices architecture. It provides a RESTful interface for scheduling, tracking, updating, and canceling kitchen orders, making it ideal for restaurant automation, cloud kitchens, or food delivery platforms.

Key Features

  • Modular Microservices Design: Each service operates independently, enhancing scalability and maintainability.
  • Flask-Smorest Integration: Utilizes Flask-Smorest for structured API development and documentation.
  • Robust Data Validation: Employs Marshmallow schemas to ensure data integrity and consistency.
  • Flexible Querying: Supports filtering of schedules based on status, time, and limits via query parameters.
  • Comprehensive Order Management: Enables full lifecycle management of kitchen orders, including creation, updates, and cancellations.

Use Cases

  • Restaurant Automation: Integrate with POS systems to automate kitchen order processing.
  • Cloud Kitchens: Manage multiple virtual kitchen operations efficiently.
  • Food Delivery Platforms: Coordinate order preparation and delivery seamlessly.

Technologies Used

  • Flask: A lightweight WSGI web application framework.
  • Flask-Smorest: An extension for building REST APIs with Flask.
  • Marshmallow: A library for object serialization and deserialization.
  • UUID: For generating unique identifiers for orders.
  • Datetime: For handling scheduling timestamps.

📦 What You’ll Learn

In this project, you’ll learn how to:

  • ✅ Create an API with FastAPI
  • 🧾 Use Pydantic for data validation and serialization
  • 📤 Perform CRUD operations (Create, Read, Update, Delete)
  • 🧪 Test your endpoints using Swagger UI
  • 🧠 Manage order statuses (e.g., Created, In Progress, Cancelled)

🛠️ Getting Started – Setup Guide

Follow these steps to get the project running on your machine.

1️⃣ Clone the Repository

Open your terminal and run:

git clone https://github.com/yourusername/fastapi-orders-api.git
cd fastapi-orders-api

About

This project is a modular kitchen and ordering API built with Flask, designed to streamline the management of food orders within a microservices architecture. It provides a RESTful interface for scheduling, tracking, updating, and canceling kitchen orders, making it ideal for restaurant automation, cloud kitchens, or food delivery platforms.

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