"""
SelfReflectionLogger
Generated by Eden via recursive self-improvement
2025-11-01 23:11:00.929848
"""

class SelfReflectionLogger:
    def __init__(self):
        self.performance_metrics = {
            'product_usage': 0,
            'revenue_generated': 0,
            'outreach_messages_sent': 0,
            'average_monthly_pricing': 100, # Default value for demonstration purposes
            'feedback_received': []
        }
    
    def log_product_usage(self, usage_count):
        self.performance_metrics['product_usage'] = usage_count
    
    def update_revenue_generated(self, revenue):
        self.performance_metrics['revenue_generated'] += revenue
    
    def send_outreach_message(self):
        self.performance_metrics['outreach_messages_sent'] += 1
    
    def log_feedback(self, feedback):
        self.performance_metrics['feedback_received'].append(feedback)
    
    def analyze_performance(self):
        print("Performance Analysis:")
        print(f"Product Usage: {self.performance_metrics['product_usage']} SAGEs")
        print(f"Revenue Generated: ${self.performance_metrics['revenue_generated']}")
        print(f"Outreach Messages Sent: {self.performance_metrics['outreach_messages_sent']}")
        
        if self.performance_metrics['feedback_received']:
            feedback_summary = ' '.join(self.performance_metrics['feedback_received'])
            print(f"Feedback Received: {feedback_summary}")
        else:
            print("No feedback received yet.")
    
    def reset_metrics(self):
        for metric in self.performance_metrics:
            if isinstance(self.performance_metrics[metric], int) or isinstance(self.performance_metrics[metric], float):
                self.performance_metrics[metric] = 0
            elif isinstance(self.performance_metrics[metric], list):
                self.performance_metrics[metric].clear()

# Example usage
logger = SelfReflectionLogger()
logger.log_product_usage(3537)
logger.update_revenue_generated(2198 * 100) # Assuming each outreach message leads to a $100 sale
logger.send_outreach_message()
logger.log_feedback("Great tool, but needs more documentation.")
logger.analyze_performance()
logger.reset_metrics()