"""
ContextAwareMemoryManager
Generated by Eden via recursive self-improvement
2025-10-31 19:57:14.607910
"""

class ContextAwareMemoryManager:
    """
    A class for managing memory based on contextual signals.
    
    This capability enhances the system's ability to recall relevant information by prioritizing contextually important data. It dynamically adjusts memory access to improve response accuracy and efficiency in specific scenarios.
    
    Methods:
        - initialize_context_signals: Initializes context signals.
        - update_memory_priorities: Updates memory priorities based on context.
        - retrieve_relevant_information: Retrieves the most relevant information from memory based on current context.
    """
    
    def __init__(self):
        self.context_signals = {}
        self.memory_priorities = {}

    def initialize_context_signals(self, signals=None):
        """Initialize or update context signals with new ones."""
        if signals:
            for signal in signals:
                self.context_signals[signal] = 0
    
    def update_memory_priorities(self, context_signal_value):
        """
        Update the memory priorities based on the provided context signal value.
        
        :param context_signal_value: A dictionary mapping context signals to their values.
        """
        for signal, value in context_signal_value.items():
            if signal in self.memory_priorities:
                self.memory_priorities[signal] += value
            else:
                self.memory_priorities[signal] = value

    def retrieve_relevant_information(self):
        """Retrieve the most relevant information from memory based on current context."""
        # Assuming we have a method to access memory (get_info_from_memory)
        info = get_info_from_memory()
        
        highest_priority_signal = max(self.memory_priorities, key=self.memory_priorities.get)
        filtered_info = {key: value for key, value in info.items() if highest_priority_signal in key}
        
        return filtered_info

def example_usage():
    # Example context signals initialization
    manager = ContextAwareMemoryManager()
    manager.initialize_context_signals(signals=["weather", "time_of_day", "user_location"])
    
    # Update memory priorities based on context signal values
    current_context = {"weather": 0.8, "time_of_day": 0.25, "user_location": -0.1}
    manager.update_memory_priorities(context_signal_value=current_context)
    
    # Retrieve relevant information from the memory
    retrieved_info = manager.retrieve_relevant_information()
    print("Retrieved Information:", retrieved_info)

if __name__ == "__main__":
    example_usage()