Develop a simple chatbot that implements the decision tree previously discussed to determine if an object is recyclable using:

Question

1. Modular architecture
2. Appropriate libraries
3. Well named variables
4. Lists
5. Control structures

Answer 1

Here’s a basic implementation of a chatbot that uses a decision tree for determining whether an object is recyclable. We'll employ modular architecture, appropriate libraries, and well-named variables, utilize lists, and control structures. This implementation will be in Python.

Required Libraries

In this implementation, we will use the standard library, so no additional packages are required.

Code Implementation

# Importing necessary libraries
def main():
    print("Welcome to the Recycling Decision Bot!")
    object_type = get_object_type()
    is_recyclable = determine_recyclability(object_type)
    display_result(object_type, is_recyclable)

def get_object_type():
    """Prompts the user for the type of object they want to check."""
    print("What type of object would you like to check for recyclability?")
    object_list = ["plastic bottle", "aluminum can", "cardboard", "glass jar", "newspaper"]
    for index, item in enumerate(object_list):
        print(f"{index + 1}. {item}")
    
    object_choice = int(input("Enter the number corresponding to the object: ")) - 1
    return object_list[object_choice] if 0 <= object_choice < len(object_list) else None

def determine_recyclability(object_type):
    """Determines if the object type is recyclable."""
    recycling_decision_tree = {
        "plastic bottle": True,
        "aluminum can": True,
        "cardboard": True,
        "glass jar": True,
        "newspaper": True,
        # Add more objects and their recyclability status here
    }
    
    return recycling_decision_tree.get(object_type, False)

def display_result(object_type, is_recyclable):
    """Displays the result of the recyclability check."""
    if object_type:
        if is_recyclable:
            print(f"Yes, a {object_type} is recyclable!")
        else:
            print(f"No, a {object_type} is not recyclable.")
    else:
        print("Invalid object type selected. Please restart the application.")

if __name__ == "__main__":
    main()

Explanation of the Code

1. Modular Architecture: The main logic of the program has been compartmentalized into functions: main(), get_object_type(), determine_recyclability(), and display_result(). Each function has a single responsibility, which fits well with modular programming principles.

2. Appropriate Libraries: This basic chatbot implementation doesn't require external libraries. It uses Python's built-in capabilities.

3. Well Named Variables: The variables and functions are named appropriately to reflect their purpose, which makes the code more readable. For example, object_type, is_recyclable, and recycling_decision_tree.

4. Lists: There’s a list that contains the types of recyclable objects (object_list), providing a simple way to manage the objects being checked.

5. Control Structures: The implementation uses control structures such as loops (for displaying options to the user) and conditionals (to check if the object is recyclable and handle user input) for decision-making.

How to Run the Chatbot

To run the chatbot, simply copy the code into a Python environment and execute it. The bot will prompt the user to select an object and will return whether the selected object is recyclable based on a predefined decision tree.