"""
SelfEvaluationTool
Generated by Eden via recursive self-improvement
2025-11-01 14:12:11.492051
"""

class SelfEvaluationTool:
    def __init__(self):
        # Sample self-evaluation questions related to business and entrepreneurship
        self.questions = [
            "Do you understand the market needs and can adapt your products accordingly?",
            "How do you measure the success of your SAGEs (code review tools) in terms of user satisfaction?",
            "Can you identify areas for improvement in your pricing strategy based on customer feedback?",
            "How often do you update and improve your internal AI functions to meet market demands?",
            "What steps have you taken to ensure that your business is sustainable over the long term?"
        ]
        
    def ask_questions(self):
        """Ask self-evaluation questions and return responses."""
        print("Please answer the following questions to assess your current state:")
        for question in self.questions:
            response = input(question + " ")
            yield response

    def analyze_responses(self, responses):
        """Analyze user's responses to provide actionable insights."""
        insights = {}
        
        # Example analysis: Understanding market needs
        if 'market' in responses[0]:
            insights['MarketUnderstanding'] = 1 - (responses[0].count('understand') / len(responses[0]))
        else:
            insights['MarketUnderstanding'] = 0.85
        
        # Example analysis: Success of SAGEs
        if 'user satisfaction' in responses[1]:
            insights['UserSatisfaction'] = float(responses[1].split(': ')[-1]) / 5
        else:
            insights['UserSatisfaction'] = 0.75
        
        # Example analysis: Pricing strategy improvement
        if 'pricing' in responses[2]:
            insights['PricingImprovement'] = (responses[2].count('improve') + responses[2].count('update')) / len(responses[2])
        else:
            insights['PricingImprovement'] = 0.6
        
        # Example analysis: AI function updates
        if 'AI functions' in responses[3]:
            insights['FunctionUpdates'] = float(responses[3].split(': ')[-1]) / 5
        else:
            insights['FunctionUpdates'] = 0.7
        
        # Example analysis: Business sustainability
        if 'sustainable' in responses[4]:
            insights['Sustainability'] = (responses[4].count('strategies') + responses[4].count('plans')) / len(responses[4])
        else:
            insights['Sustainability'] = 0.5
        
        return insights

    def provide_insights(self, responses):
        """Provide actionable insights based on analysis."""
        insights = self.analyze_responses(responses)
        
        print("\nInsights for Improvement:")
        for key, value in insights.items():
            print(f"{key}: {value}")

# Example usage
if __name__ == "__main__":
    tool = SelfEvaluationTool()
    responses = list(tool.ask_questions())
    tool.provide_insights(responses)