Apple Products Parser

Brief Description

Apple Product Parser is a simple Rust tool that processes detailed information from JSON about Apple products such as iPhones, MacBooks, and iPads. It extracts key details like product name, price, category, screen size, storage options, available colors, and year of release, and organizes them in a structured format(prints in console as yaml and toml).

The parsed data can be used for analysis, generating reports, or displaying in user interfaces. This project focuses on ensuring the data is accurately processed and made available for further use.

Grammar for Input

Name: The product's name (e.g., MacBook Pro 14-inch)
Price: The price of the product in USD (e.g., 1999.99)
Type: The type of product (e.g., Laptop)
Screen Size: The display size (e.g., 14.2 inches)
Storage: A list of available storage options (e.g., ["512GB", "1TB", "2TB"])
RAM: The amount of RAM (e.g., 16GB)
Color: Available color options (e.g., ["Silver", "Space Gray"])
Year of Release: The year the product was released (e.g., 2023)
Availability: Whether the product is available (true/false)

Usage of Parsed Results

Data Analysis: You can compare prices, storage sizes, screen sizes, and other features of different Apple products
Reports: The parsed data can be used to create reports or dashboards that show information about product availability, trends in product features, and pricing
User Interface Display: The data can be shown on screens where users can filter and sort Apple products by things like price, release year, and screen size

Example Input

{
  "name": "iPhone 15 Pro",
  "price": 999.99,
  "type": "Smartphone",
  "screen_size": "6.1 inches",
  "storage": ["128GB", "256GB", "512GB"],
  "color": ["Silver", "Graphite", "Gold", "Pacific Blue"],
  "date_of_release": "12-09-2023"
  "availability": true
},
{
  "name": "MacBook Pro 14",
  "price": 1999.99,
  "type": "Laptop",
  "screen_size": "14.2 inches",
  "storage": ["512GB", "1TB", "2TB"],
  "ram": "16GB",
  "color": ["Silver", "Space Gray"],
  "date_of_release": "24-10-2023"
  "availability": true
}

Example Output(toml)

[[]] name = "iPhone 15 Pro" price = 999.99 type = "Smartphone" screen_size = "6.1 inches" storage = ["128GB", "256GB", "512GB"] color = ["Silver", "Graphite", "Gold", "Pacific Blue"] date_of_release = "12-09-2023" availability = true

[[]] name = "MacBook Pro 14" price = 1999.99 type = "Laptop" screen_size = "14.2 inches" storage = ["512GB", "1TB", "2TB"] ram = "16GB" color = ["Silver", "Space Gray"] date_of_release = "24-10-2023" availability = true

Example Output(yaml)

name: iPhone 15 Pro price: 999.99 type: Smartphone screen_size: 6.1 inches storage:
- 128GB
- 256GB
- 512GB color:
- Silver
- Graphite
- Gold
- Pacific Blue date_of_release: 12-09-2023 availability: true
name: MacBook Pro 14 price: 1999.99 type: Laptop screen_size: 14.2 inches storage:
- 512GB
- 1TB
- 2TB ram: 16GB color:
- Silver
- Space Gray date_of_release: 24-10-2023 availability: true