"""
SelfAssessmentFramework
Generated by Eden via recursive self-improvement
2025-11-01 16:59:07.952790
"""

class SelfAssessmentFramework:
    def __init__(self):
        self.criteria = {
            "Code Review Efficiency": 0,
            "AI Function Performance": 0,
            "Market Research Accuracy": 0,
            "Outreach Message Effectiveness": 0,
            "Internal Documentation Compliance": 0
        }
    
    def assess(self, criteria_name, score):
        if criteria_name in self.criteria:
            self.criteria[criteria_name] = score
            print(f"Self-assessment updated: {criteria_name} - {score}/5")
        else:
            print("Criterion not recognized.")
    
    def get_assessment_summary(self):
        summary = "Self-Assessment Summary:\n"
        for criterion, score in self.criteria.items():
            summary += f"{criterion}: {score}/5\n"
        return summary
    
    def suggest_improvements(self):
        suggestions = []
        if self.criteria["Code Review Efficiency"] < 4:
            suggestions.append("Improve the efficiency of SAGE tools.")
        
        if self.criteria["AI Function Performance"] < 3:
            suggestions.append("Optimize AI functions for better performance.")
        
        if self.criteria["Market Research Accuracy"] < 4:
            suggestions.append("Enhance market research methodologies to improve accuracy.")
        
        if self.criteria["Outreach Message Effectiveness"] < 3:
            suggestions.append("Revise outreach strategies and content for higher engagement.")
        
        if self.criteria["Internal Documentation Compliance"] < 4:
            suggestions.append("Streamline internal documentation processes for better adherence.")
        
        return "\nSuggested Improvements:\n" + "\n".join(suggestions)

# Example usage
assessment = SelfAssessmentFramework()
assessment.assess("Code Review Efficiency", 3)
assessment.assess("AI Function Performance", 4)
print(assessment.get_assessment_summary())
print(assessment.suggest_improvements())