Smart Contact Manager

Part of the Logic & Flow section of Coddy's Python journey — lesson 76 of 78.

Challenge

Medium

Create a function named organize_contacts that processes a list of contact dictionaries to create a clean contact database.

Each contact dictionary in the input list has these keys:

name: The person's name
email: The person's email address
phone: The person's phone number

Your function should:

Remove duplicate contacts (contacts with the same email or phone number), keeping the first occurrence
Standardize all emails to lowercase
Filter out contacts with invalid email addresses
Filter out contacts with invalid phone numbers
Return a list of cleaned contact dictionaries

Validation rules:

Valid email: Must contain '@' and '.', and must not have spaces
Valid phone: Must contain exactly 10 digits (ignore non-digit characters like dashes or parentheses)

For cleaning phone numbers, you should use Python's str.isdigit() method to extract only the numeric digits from phone numbers. This method returns True if a character is a digit (0-9) and False otherwise, making it perfect for filtering out non-digit characters.

Example Input:

contacts = [
    {"name": "John Doe", "email": "john@email.com", "phone": "123-456-7890"}
]

Expected Output:

[
    {"name": "John Doe", "email": "john@email.com", "phone": "1234567890"}
]

Try it yourself

def organize_contacts(contact_list):
    # Your solution here
    
    # 1. Create helper functions for validation
    # - Function to validate email format
    # - Function to clean and validate phone numbers
    
    # 2. Process each contact
    # - Clean email (lowercase) and phone (digits only)
    # - Check if email and phone are valid
    # - Check for duplicates
    
    # 3. Return the clean contact list
    pass