data = [
    {
        'name': 'Instagram',
        'follower_count': 346,
        'description': 'Social media platform',
        'country': 'United States'
    },
    {
        'name': 'Cristiano Ronaldo',
        'follower_count': 215,
        'description': 'Footballer',
        'country': 'Portugal'
    },
    {
        'name': 'Ariana Grande',
        'follower_count': 183,
        'description': 'Musician and actress',
        'country': 'United States'
    },
    {
        'name': 'Dwayne Johnson',
        'follower_count': 181,
        'description': 'Actor and professional wrestler',
        'country': 'United States'
    },
    {
        'name': 'Selena Gomez',
        'follower_count': 174,
        'description': 'Musician and actress',
        'country': 'United States'
    },
    {
        'name': 'Kylie Jenner',
        'follower_count': 172,
        'description': 'Reality TV personality and businesswoman and Self-Made Billionaire',
        'country': 'United States'
    },
    {
        'name': 'Kim Kardashian',
        'follower_count': 167,
        'description': 'Reality TV personality and businesswoman',
        'country': 'United States'
    },
    {
        'name': 'Lionel Messi',
        'follower_count': 149,
        'description': 'Footballer',
        'country': 'Argentina'
    },
    {
        'name': 'Beyoncé',
        'follower_count': 145,
        'description': 'Musician',
        'country': 'United States'
    },
    {
        'name': 'Neymar',
        'follower_count': 138,
        'description': 'Footballer',
        'country': 'Brasil'
    },
    {
        'name': 'National Geographic',
        'follower_count': 135,
        'description': 'Magazine',
        'country': 'United States'
    },
    {
        'name': 'Justin Bieber',
        'follower_count': 133,
        'description': 'Musician',
        'country': 'Canada'
    },
    {
        'name': 'Taylor Swift',
        'follower_count': 131,
        'description': 'Musician',
        'country': 'United States'
    },
    {
        'name': 'Kendall Jenner',
        'follower_count': 127,
        'description': 'Reality TV personality and Model',
        'country': 'United States'
    },
    {
        'name': 'Jennifer Lopez',
        'follower_count': 119,
        'description': 'Musician and actress',
        'country': 'United States'
    },
    {
        'name': 'Nicki Minaj',
        'follower_count': 113,
        'description': 'Musician',
        'country': 'Trinidad and Tobago'
    },
    {
        'name': 'Nike',
        'follower_count': 109,
        'description': 'Sportswear multinational',
        'country': 'United States'
    },
    {
        'name': 'Khloé Kardashian',
        'follower_count': 108,
        'description': 'Reality TV personality and businesswoman',
        'country': 'United States'
    },
    {
        'name': 'Miley Cyrus',
        'follower_count': 107,
        'description': 'Musician and actress',
        'country': 'United States'
    },
    {
        'name': 'Katy Perry',
        'follower_count': 94,
        'description': 'Musician',
        'country': 'United States'
    },
    {
        'name': 'Kourtney Kardashian',
        'follower_count': 90,
        'description': 'Reality TV personality',
        'country': 'United States'
    },
    {
        'name': 'Kevin Hart',
        'follower_count': 89,
        'description': 'Comedian and actor',
        'country': 'United States'
    },
    {
        'name': 'Ellen DeGeneres',
        'follower_count': 87,
        'description': 'Comedian',
        'country': 'United States'
    },
    {
        'name': 'Real Madrid CF',
        'follower_count': 86,
        'description': 'Football club',
        'country': 'Spain'
    },
    {
        'name': 'FC Barcelona',
        'follower_count': 85,
        'description': 'Football club',
        'country': 'Spain'
    },
    {
        'name': 'Rihanna',
        'follower_count': 81,
        'description': 'Musician and businesswoman',
        'country': 'Barbados'
    },
    {
        'name': 'Demi Lovato',
        'follower_count': 80,
        'description': 'Musician and actress',
        'country': 'United States'
    },
    {
        'name': "Victoria's Secret",
        'follower_count': 69,
        'description': 'Lingerie brand',
        'country': 'United States'
    },
    {
        'name': 'Zendaya',
        'follower_count': 68,
        'description': 'Actress and musician',
        'country': 'United States'
    },
    {
        'name': 'Shakira',
        'follower_count': 66,
        'description': 'Musician',
        'country': 'Colombia'
    },
    {
        'name': 'Drake',
        'follower_count': 65,
        'description': 'Musician',
        'country': 'Canada'
    },
    {
        'name': 'Chris Brown',
        'follower_count': 64,
        'description': 'Musician',
        'country': 'United States'
    },
    {
        'name': 'LeBron James',
        'follower_count': 63,
        'description': 'Basketball player',
        'country': 'United States'
    },
    {
        'name': 'Vin Diesel',
        'follower_count': 62,
        'description': 'Actor',
        'country': 'United States'
    },
    {
        'name': 'Cardi B',
        'follower_count': 67,
        'description': 'Musician',
        'country': 'United States'
    },
    {
        'name': 'David Beckham',
        'follower_count': 82,
        'description': 'Footballer',
        'country': 'United Kingdom'
    },
    {
        'name': 'Billie Eilish',
        'follower_count': 61,
        'description': 'Musician',
        'country': 'United States'
    },
    {
        'name': 'Justin Timberlake',
        'follower_count': 59,
        'description': 'Musician and actor',
        'country': 'United States'
    },
    {
        'name': 'UEFA Champions League',
        'follower_count': 58,
        'description': 'Club football competition',
        'country': 'Europe'
    },
    {
        'name': 'NASA',
        'follower_count': 56,
        'description': 'Space agency',
        'country': 'United States'
    },
    {
        'name': 'Emma Watson',
        'follower_count': 56,
        'description': 'Actress',
        'country': 'United Kingdom'
    },
    {
        'name': 'Shawn Mendes',
        'follower_count': 57,
        'description': 'Musician',
        'country': 'Canada'
    },
    {
        'name': 'Virat Kohli',
        'follower_count': 55,
        'description': 'Cricketer',
        'country': 'India'
    },
    {
        'name': 'Gigi Hadid',
        'follower_count': 54,
        'description': 'Model',
        'country': 'United States'
    },
    {
        'name': 'Priyanka Chopra Jonas',
        'follower_count': 53,
        'description': 'Actress and musician',
        'country': 'India'
    },
    {
        'name': '9GAG',
        'follower_count': 52,
        'description': 'Social media platform',
        'country': 'China'
    },
    {
        'name': 'Ronaldinho',
        'follower_count': 51,
        'description': 'Footballer',
        'country': 'Brasil'
    },
    {
        'name': 'Maluma',
        'follower_count': 50,
        'description': 'Musician',
        'country': 'Colombia'
    },
    {
        'name': 'Camila Cabello',
        'follower_count': 49,
        'description': 'Musician',
        'country': 'Cuba'
    },
    {
        'name': 'NBA',
        'follower_count': 47,
        'description': 'Club Basketball Competition',
        'country': 'United States'
    }
]

logo = """
    __  ___       __             
   / / / (_)___ _/ /_  ___  _____
  / /_/ / / __ `/ __ \/ _ \/ ___/
 / __  / / /_/ / / / /  __/ /    
/_/ ///_/\__, /_/ /_/\___/_/     
   / /  /____/_      _____  _____
  / /   / __ \ | /| / / _ \/ ___/
 / /___/ /_/ / |/ |/ /  __/ /    
/_____/\____/|__/|__/\___/_/     
"""

vs = """
 _    __    
| |  / /____
| | / / ___/
| |/ (__  ) 
|___/____(_)
"""

# Import art & game data
from art import logo, vs
from game_data import data
import random
# from replit import clear
import os    # use system clear to clear screen


# Linux version
clear = lambda: os.system('clear')
# Windows version
# clear = lambda: os.system('cls')


def new_high_low():
    """
    Generate unique new item(s) to compare
    """
    
    compare["A"] = compare["C"]
    compare["B"] = random.choice(data)
    # Ensure the values are NOT the same!
    while compare["B"] == compare["A"]:
        compare["B"] = random.choice(data)

        
def display_compare():
    """
    Function to display comparisons, collect and return choice
    """
    
    clear()
    print(logo)
    vowels = ["a","e","i","o","u"]
    new_high_low()
    if score:
        print(f"You're right! Current score: {score}.")
    print(f"Compare A: {compare['A']['name']}, a{'n' if compare['A']['description'][0].lower() in vowels else ''} {compare['A']['description']}, {compare['A']['country']}")
    print(vs)
    print(f"Against B: {compare['B']['name']}, a{'n' if compare['B']['description'][0].lower() in vowels else ''} {compare['B']['description']}, {compare['B']['country']}")
    choice = input("\nWho has more followers? Type 'A' or 'B': ").upper()
    if choice == "A":
        return "A","B"
    return "B","A"


def higher_lower(answer):
    """
    Return True/False whether answer correct and, if True, capture answer
    """
    if compare[answer[0]]["follower_count"] > compare[answer[1]]["follower_count"]:
        compare["C"] = compare[answer[0]]
        return True
    return False

    
#Initialise Dictionary to hold values for comparison
compare = {}
compare["C"] = random.choice(data)

# Start game here...

play_again = True
while play_again:
    score = 0
    end_game = False
    
    while not end_game:
        if higher_lower(display_compare()):
            score += 1
        else:
            end_game = True
            clear()
            print(logo)
            if input(f"Sorry, that's wrong. Final score: {score}.\nGame over. Play again? Type 'y' or 'n': ").lower() == 'n':
                play_again = False