import random
from typing import List, Tuple

class HousePricePredictor:
    """
    Mock ML model that predicts house prices.
    In a real scenario, this would load a trained model.
    """
    
    def __init__(self):
        # Mock initialization - in reality would load model weights
        pass
    
    def predict(self, square_feet: float, bedrooms: int, bathrooms: float) -> Tuple[float, float, List[float]]:
        """
        Mock prediction method that returns:
        - predicted price
        - confidence score
        - similar listing prices
        """
        # Mock prediction logic
        base_price = square_feet * 200
        bedroom_value = bedrooms * 25000
        bathroom_value = bathrooms * 15000
        
        predicted_price = base_price + bedroom_value + bathroom_value
        
        # Add some randomness to make it interesting
        confidence_score = random.uniform(0.8, 0.99)
        similar_listings = [
            predicted_price * random.uniform(0.9, 1.1) 
            for _ in range(3)
        ]
        
        return predicted_price, confidence_score, similar_listings