Related resource links in Rest API - Mini Project: Build & Apply

Related Resource Links in REST API

📖 Scenario: You are building a simple REST API that returns information about books. Each book should include links to related resources, such as the author details and reviews.

🎯 Goal: Create a Python dictionary representing a book with related resource links. Then, add a configuration for the base URL. Use dictionary comprehension to build full URLs for related resources. Finally, print the complete book data with related links.

📋 What You'll Learn

Create a dictionary called book with keys id, title, and related_links.

Create a variable called base_url with the value "https://api.example.com".

Use dictionary comprehension to update related_links with full URLs using base_url.

Print the book dictionary.

💡 Why This Matters

🌍 Real World

APIs often provide related resource links so clients can easily find connected information like authors or reviews.

💼 Career

Understanding how to structure and build related resource links is important for backend developers working with REST APIs.

1

Create the initial book dictionary

Create a dictionary called book with these exact keys and values: 'id': 101, 'title': 'Learn REST APIs', and 'related_links' which is another dictionary with keys 'author' and 'reviews' having values '/authors/5' and '/books/101/reviews' respectively.

Rest API

# Create the book dictionary with id, title, and related_links
# Your code here

Need a hint?

Remember to create a dictionary named book with the exact keys and values given.

2

Add the base URL configuration

Create a variable called base_url and set it to the string "https://api.example.com".

Rest API

book = {
    'id': 101,
    'title': 'Learn REST APIs',
    'related_links': {
        'author': '/authors/5',
        'reviews': '/books/101/reviews'
    }
}

# Create base_url variable
# Your code here

Need a hint?

Use a simple assignment to create base_url with the exact string.

3

Build full URLs for related links

Use dictionary comprehension to update book['related_links'] so that each path is prefixed with base_url. Use {key: base_url + path for key, path in book['related_links'].items()} and assign it back to book['related_links'].

Rest API

book = {
    'id': 101,
    'title': 'Learn REST APIs',
    'related_links': {
        'author': '/authors/5',
        'reviews': '/books/101/reviews'
    }
}

base_url = "https://api.example.com"

# Update related_links with full URLs using dictionary comprehension
# Your code here

Need a hint?

Use dictionary comprehension to combine base_url with each path in related_links.

4

Print the complete book dictionary

Write a print statement to display the book dictionary.

Rest API

book = {
    'id': 101,
    'title': 'Learn REST APIs',
    'related_links': {
        'author': '/authors/5',
        'reviews': '/books/101/reviews'
    }
}

base_url = "https://api.example.com"

book['related_links'] = {key: base_url + path for key, path in book['related_links'].items()}

# Print the book dictionary
# Your code here

Need a hint?

Use print(book) to show the final dictionary with full URLs.