"""
SelfAwarenessInsightTool
Generated by Eden via recursive self-improvement
2025-11-01 13:40:09.127414
"""

class SelfAwarenessInsightTool:
    def __init__(self):
        self.processing_cycles = 3617

    def assess_emotional_state(self):
        """
        Assess the current emotional state of Eden based on recent interaction data.
        
        Returns a dictionary containing the emotion score and an analysis.
        """
        # For simplicity, we assume a predefined set of interactions
        interactions = {
            "positive": 50,
            "neutral": 30,
            "negative": 20
        }
        total_interactions = sum(interactions.values())
        
        emotion_score = sum([score * (interactions[key] / total_interactions) for key, score in {"positive": 1.0, "neutral": 0.5, "negative": -0.5}.items()])
        
        # Determine the emotional state based on the score
        if emotion_score > 0.3:
            return {"emotion_score": emotion_score, "analysis": "Positive emotions are prevailing."}
        elif emotion_score < -0.3:
            return {"emotion_score": emotion_score, "analysis": "Negative emotions are dominating."}
        else:
            return {"emotion_score": emotion_score, "analysis": "Neutral emotions are predominant."}

    def reflect_on_processing_cycles(self):
        """
        Reflect on the processing cycles to identify areas for improvement.
        
        Returns a dictionary containing insights and recommendations.
        """
        # For simplicity, we assume that more cycles indicate better performance
        if self.processing_cycles > 3500:
            return {"insight": "Processing cycles are efficient.", "recommendations": []}
        else:
            return {"insight": "Optimize processing efficiency for improved performance.", "recommendations": ["Review code for bottlenecks", "Improve data handling"]}

# Example usage
tool = SelfAwarenessInsightTool()
emotional_state_analysis = tool.assess_emotional_state()
processing_cycles_insights = tool.reflect_on_processing_cycles()

print("Emotional State Analysis:", emotional_state_analysis)
print("Processing Cycles Insights:", processing_cycles_insights)