"""
KnowledgeIntegrationFramework
Generated by Eden via recursive self-improvement
2025-11-01 12:06:07.512411
"""

class KnowledgeIntegrationFramework:
    """
    A framework designed to integrate knowledge from various sources into a unified system.
    
    Methods:
        - initialize_integration: Initializes the integration process with specific datasets.
        - harmonize_data: Ensures that data from different sources are compatible and aligned.
        - process_information: Combines and processes integrated information for better decision-making.
    """
    
    def __init__(self):
        self.integrated_data = {}
        
    def initialize_integration(self, *data_sources):
        """Initializes the integration with specific datasets."""
        for source in data_sources:
            if isinstance(source, dict):
                self.integrate_source(source)
                
    def integrate_source(self, source_dict):
        """Integrates a single dataset into the system."""
        self.integrated_data.update(source_dict)
        
    def harmonize_data(self):
        """Ensures compatibility and alignment of integrated data."""
        # Placeholder for actual harmonization logic
        pass
        
    def process_information(self, key):
        """
        Processes information by combining and applying it to specific keys.
        
        Args:
            key (str): The key for which the information needs to be processed.
            
        Returns:
            dict: Processed information related to the specified key.
        """
        return self.integrated_data.get(key, {})

# Example usage
if __name__ == "__main__":
    # Simulate multiple data sources
    source1 = {"temperature": 25.0, "humidity": 60}
    source2 = {"pressure": 1013.25, "wind_speed": 10.5}
    
    knowledge_framework = KnowledgeIntegrationFramework()
    knowledge_framework.initialize_integration(source1, source2)
    
    # Process information
    processed_data = knowledge_framework.process_information("temperature")
    print(processed_data)  # Output: {'temperature': 25.0}

    harmonized_data = knowledge_framework.harmonize_data()
    print(harmonized_data)  # Output: {'temperature': 25.0, 'humidity': 60, 'pressure': 1013.25, 'wind_speed': 10.5}