"""
ContextAwarePrediction
Generated by Eden via recursive self-improvement
2025-10-31 21:41:45.522546
"""

class ContextAwarePrediction:
    """
    A class designed to store and use contextual information from previous interactions to enhance prediction accuracy.
    
    Attributes:
        context_history (list): List of dictionaries storing interaction contexts.
        current_context (dict): Current context being accumulated during the conversation.
        
    Methods:
        update_context: Updates the current context with new user inputs.
        predict_next_response: Uses the stored context history to predict the next likely response or action.
    """
    
    def __init__(self):
        self.context_history = []
        self.current_context = {}
        
    def update_context(self, user_input, response):
        """
        Updates the current context with new user inputs and appends it to the context history if relevant.
        
        Args:
            user_input (str): The input from the user.
            response (str): The system's response.
        """
        # Example of updating context based on input type
        self.current_context['user_input'] = user_input
        self.current_context['response'] = response
        
        if len(self.context_history) < 10:  # Limit history to last 10 interactions for efficiency
            self.context_history.append(self.current_context)
        
    def predict_next_response(self, input_text):
        """
        Predicts the next likely response based on the context history.
        
        Args:
            input_text (str): The current user input text to consider in prediction.
            
        Returns:
            str: A predicted next response or action.
        """
        # Simple prediction logic - find most recent similar context and return a relevant response
        from collections import Counter
        
        matching_contexts = [context for context in self.context_history if 'user_input' in context]
        
        if not matching_contexts:
            return "I'm not sure what to say next. Can you provide more information?"
        
        most_recent_context = max(matching_contexts, key=lambda x: len(x['response']))
        predicted_response = f"Based on previous interactions, a relevant response might be: {most_recent_context['response']}."
        
        return predicted_response

# Example usage
context_predictor = ContextAwarePrediction()
context_predictor.update_context("What is the weather like?", "The weather report says it's sunny today.")
context_predictor.predict_next_response("Can you check the temperature?")

print(context_predictor.predict_next_response("How was your day?"))