"""
CodeFeedbackOptimizer
Generated by Eden via recursive self-improvement
2025-11-01 19:14:19.508482
"""

import pandas as pd

class CodeFeedbackOptimizer:
    def __init__(self, review_data_path):
        """
        Initialize the optimizer with historical review data.
        
        :param review_data_path: Path to a CSV file containing historical code review data.
        """
        self.review_data = pd.read_csv(review_data_path)
    
    def analyze_reviews(self):
        """
        Analyze past reviews to identify patterns and common issues.
        Returns a DataFrame with insights for improvement.
        """
        # Example analysis: Count the frequency of different types of errors
        error_counts = self.review_data['errors'].value_counts()
        return pd.DataFrame({'ErrorType': error_counts.index, 'Frequency': error_counts.values})
    
    def generate_suggestions(self):
        """
        Generate suggestions based on analyzed reviews.
        
        :return: A DataFrame with suggested improvements for each review type.
        """
        suggestions = {
            "Syntax Errors": ["Check function naming conventions", "Ensure consistent use of parentheses"],
            "Logic Errors": ["Validate input parameters", "Add logging statements to track variable values"]
        }
        return pd.DataFrame.from_dict(suggestions, orient='index', columns=['Suggestions'])
    
    def update_optimizer(self, new_reviews):
        """
        Update the optimizer with new review data.
        
        :param new_reviews: A DataFrame containing new code reviews.
        """
        self.review_data = pd.concat([self.review_data, new_reviews], ignore_index=True)
        # Re-analyze and generate updated suggestions
        insights = self.analyze_reviews()
        suggestions = self.generate_suggestions()
        return insights, suggestions

# Example usage:
if __name__ == "__main__":
    optimizer = CodeFeedbackOptimizer('historical_reviews.csv')
    
    # Simulate new reviews data for demonstration purposes
    new_reviews_data = {
        'code': ['def example():\n  pass'],
        'errors': [1],  # Syntax error: Missing colon at the end of function definition
        'suggestions': []
    }
    new_reviews_df = pd.DataFrame(new_reviews_data)
    
    insights, suggestions = optimizer.update_optimizer(new_reviews_df)
    print(insights)
    print(suggestions)