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System design: Building a Vending Machine in Go

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Living in Tokyo, Japan, I’m surrounded by vending machines offering everything from hot coffee to cold drinks and snacks.Inspired by these iconic machines, I trued to build a vending machine system design in Go. It's a cool example of using the State pattern, and I'll break down why it's super useful for this kind of project.






Why a Vending Machine?



Think about a real vending machine - it's actually pretty complex! It needs to:




  • Keep track of products and their quantities

  • Handle money

  • Make sure you've put in enough cash

  • Give you your snack

  • Return your change



Plus, it needs to do all this without getting confused about what state it's in.









The Basic Building Blocks



First up, I needed some basic structures to work with:



Products and Inventory

Each product has an ID, name, price, and quantity. Pretty straightforward stuff:




CODE
type Product struct {
ID int
Name string
Price float64
Quantity int
}





The inventory keeps track of all products using a map. It can:




  • Add new products

  • Remove products

  • Handle transactions (like when someone buys something)

  • Check if products are available



The State Pattern: Why It's Awesome Here



Here's where it gets interesting. A vending machine can be in different states:




  • Waiting for money

  • Money inserted

  • Product selected

  • Dispensing product



Each state needs to handle user actions differently. Like, you can't select a product before putting in money, right?

I used three main states:




  1. MoneyInsertedState

  2. ProductSelectedState

  3. ProductDispensedState



Each state implements this interface:



CODE
type State interface {
InsertMoney(amount float64)
SelectProduct(product *Product)
ReturnChange()
DispenseProduct()
}





How It All Works Together



Let's say you want to buy a Coke:



First, you insert $2.00




  • The machine is in MoneyInsertedState

  • It records your money

  • Switches to ProductSelectedState



You select Coke ($1.50)




  • Machine checks if it has Coke in stock

  • Verifies you put in enough money

  • Moves to ProductDispensedState



Machine dispenses your Coke




  • Updates inventory

  • Returns your $0.50 change

  • Goes back to MoneyInsertedState







Cool Features I Added





  • Stock Management: Each product starts with 3 units. When something's sold out, it's automatically removed from available options.


  • Smart Change Handling: The machine always calculates and returns the correct change after a purchase.


  • Error Prevention: The state pattern helps prevent weird situations like, trying to buy stuff without enough money, selecting products that are out of stock, inserting money while something's being dispensed.





What I Learned



Building this taught me a few things:




  • The State pattern is perfect for machines with clear, distinct states

  • Go's interfaces make implementing state patterns really clean

  • Proper error handling is super important for real-world applications





What's Next?



There's always room for improvement! Some ideas:




  • Add support for card payments

  • Implement a display system

  • Add temperature monitoring for drinks

  • Create an admin interface for restocking





The full code is more detailed than what I showed here, but these are the main pieces that make it work. Feel free to check the full implementation in the following repo:





GitHub logo



Low level system design problems solutions in Golang













  • Overview




    Low-level system design involves understanding the core concepts of system architecture and designing scalable, maintainable, and efficient systems. This repository will try to cover solutions of various problems and scenarios using Go.




    Parking Lot System





    The first project in this repository is a Parking Lot System. This system simulates a parking lot where vehicles can be parked and unparked. It demonstrates:




    • Singleton design pattern for managing the parking lot instance.

    • Handling different types of vehicles (e.g., cars, trucks).

    • Parking space management across multiple floors.

    • Payment processing for parked vehicles.




    Features





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