Preliminary Software Engineering
Unit 1 - Programming Fundamentals
Unit 1 - Programming Fundamentals
  • 1 - Programming Fundamentals
    • Programming Fundamentals Content
  • 2 - Python
    • Expected Python Knowledge
    • GitHub
    • Learning Python
    • Data Structures and File Management
      • Data Structures
        • Lists
        • Arrays
          • Single and Multi-Dimensional Arrays
        • Lists vs Arrays
          • Activities
        • Tuples
        • Sets
        • Dictionaries
          • Activities
      • File Handling
        • Loops, Lists, Dictionaries
        • Activities
  • 3 - Theory Content
    • Theory Content Explained
      • NESA Directional Verbs
      • Responding to Directional Verbs
  • 4 - Software Development and Management
    • Approaches to Software Development
      • Waterfall Model
      • Agile Model
      • Summary: Waterfall vs Agile
      • Activities
    • Software Development Steps
      • Sample Exam Question
      • Requirements Definition
        • Understanding the Need
        • Key Questions to Ask
        • Examples
        • Activities
        • Sample Exam Question
      • Determining Specifications
        • Functional Specifications
        • Non-Functional Specifications
        • Activities
      • Design
        • Top-Down Design Approach
        • Bottom-Up Design Approach
      • Development
        • Optimising Code
      • Integration
        • Example: Payment Program
        • Activity
        • Application Programming Interface (API)
          • Example: OpenWeather API
          • Example: WeatherAPI
          • Activity: Prepare Spells
      • Testing and Debugging
        • Test Data
          • Activities
        • Testing the System
          • Activities
        • Debugging
          • Types of Errors
            • Activities
          • Python Debugger
            • Activities
          • VS Code Debugger
            • Activities
      • Installation
        • Activities
        • Sample Exam Question
      • Maintenance
  • Charts and Algorithms
    • Example: IPO Charts and Pseudocode
      • Activities
    • Algorithms, Flowcharts, Pseudocode
      • Pseudocode Activities
      • Flowchart Activities
      • Sample Exam Questions
    • Structure Charts
      • Activities
      • Sample Exam Questions
    • Data Flow Diagrams
      • Activities
    • Data Dictionaries
      • Activities
    • Decision Trees
      • Activities
      • Sample Exam Questions
    • Gantt Chart
    • Class Diagrams
      • Sample Exam Question
    • Storyboards
      • Sample Exam Question
  • Testing and Debugging
    • Test Data
      • Activities
    • Testing the System
      • Activities
    • Debugging
      • Types of Errors
        • Activities
      • Python Debugger
        • Activities
      • VS Code Debugger
        • Activities
  • Computational Thinking
    • Decomposition
    • Abstraction
    • Activities
  • Version Control
    • Git
    • GitHub
    • Activities
  • Number Systems
    • Binary Systems
    • Hexadecimal Numbers
    • Using Two's Complement
    • Activities
  • 5 - Assessment Task 1
    • Data Science Project
      • Before we Start
        • Setting up GitHub Repository
        • Setting Up Markdown Documentation
      • Examples of API Usage
        • Starter Code: NASA Scenario
        • Starter Code: Spell Book
        • Starter: Pokédex Explorer
        • Starter Code: Weather App
        • Example: OpenWeather API
        • Example: WeatherAPI
        • Example: Prepare Spells
    • Task Guide
      • Requirements Definition
      • Determining Specifications
        • Use Cases
      • Design
        • Gantt Chart
        • Structure Chart
        • Algorithms
        • Data Dictionary
      • Development
        • Comments vs DocStrings
        • UI - main.py
        • Create Python Module
          • Example: NASA Module
          • Example: WeatherFetch Module
          • Example: SpellBook Module
      • Integration
        • Example: Pokedex
      • Testing and Debugging
        • Commit Changes
      • Installation
      • Maintenance
    • Submitting Your Task
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  1. 5 - Assessment Task 1
  2. Data Science Project
  3. Examples of API Usage

Starter Code: Spell Book

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Last updated 3 months ago

Wizard's Spell Book

Develop a program that interacts with the D&D 5e API () to manage a spellbook. It should allow users to:

  • Search for spells by name or level.

  • Store spells in a personal spellbook.

  • Cast spells, which removes them from the spellbook if they have limited uses.

  • Remove spells manually from the stored collection when no longer needed.

import requests

# API Base URL
API_URL = "https://www.dnd5eapi.co/api/spells/"

# Dictionary to store spells
spellbook = {}

def search_spell(spell_name):
    """Search for a spell in the D&D API and return its details."""
    response = requests.get(API_URL + spell_name.lower().replace(" ", "-"))
    if response.status_code == 200:
        spell_data = response.json()
        return {
            "name": spell_data["name"],
            "level": spell_data["level"],
            "description": spell_data["desc"][0]  # First part of the description
        }
    else:
        print("Spell not found.")
        return None

def add_spell_to_spellbook(spell_name):
    """Add a spell to the spellbook if found."""
    spell = search_spell(spell_name)
    if spell:
        spellbook[spell_name] = spell
        print(f"Added {spell_name} to your spellbook!")

def view_spellbook():
    """Display all stored spells."""
    if not spellbook:
        print("Your spellbook is empty.")
    else:
        for spell in spellbook.values():
            print(f"{spell['name']} (Level {spell['level']}): {spell['description']}")


# Example usage
add_spell_to_spellbook("fireball")
view_spellbook()

www.dnd5eapi.co