"""
CodeQualityAssessment
Generated by Eden via recursive self-improvement
2025-11-01 23:14:43.013951
"""

import ast
from collections import defaultdict

class CodeQualityAssessment:
    def __init__(self):
        self.metrics = {
            'complexity': 0,
            'lines_of_code': 0,
            'cyclomatic_complexity': 0,
            'function_length': 0,
            'average_nesting_depth': 0
        }

    def analyze_file(self, file_path):
        """
        Analyzes a Python source code file and returns quality metrics.
        
        :param file_path: Path to the Python source code file.
        """
        with open(file_path, 'r') as file:
            tree = ast.parse(file.read())
            
            self.metrics['lines_of_code'] += len(tree.body)
            self.metrics['complexity'] += 1
            
            for node in ast.walk(tree):
                if isinstance(node, ast.FunctionDef) or isinstance(node, ast.AsyncFunctionDef):
                    self.metrics['function_length'] += len(node.body)
                    self.metrics['cyclomatic_complexity'] += self._calculate_cyclomatic_complexity(node)

        return self.metrics

    def _calculate_cyclomatic_complexity(self, node):
        """
        Calculates the cyclomatic complexity of a function.
        
        :param node: AST node representing a function definition.
        """
        return len([stmt for stmt in node.body if isinstance(stmt, (ast.If, ast.For, ast.While))])

    def generate_report(self, file_metrics):
        """
        Generates a detailed report based on the collected metrics.
        
        :param file_metrics: Metrics dictionary containing analysis results.
        """
        print("Code Quality Assessment Report:")
        print(f"Lines of Code: {file_metrics['lines_of_code']}")
        print(f"Cyclomatic Complexity: {file_metrics['cyclomatic_complexity']}")
        print(f"Function Length (avg): {file_metrics['function_length'] / len(file_metrics['complexity']) if file_metrics['complexity'] else 0}")
        print("Detailed Issues:")
        
        # Example issues based on metrics
        if file_metrics['lines_of_code'] > 1000:
            print("- Consider refactoring the code to improve readability and maintainability.")
        if file_metrics['cyclomatic_complexity'] > 10:
            print("- Reduce complexity by breaking down functions into smaller, more manageable pieces.")
        if file_metrics['function_length'] / len(file_metrics['complexity']) > 50:
            print("- Shorten the average function length to enhance code understandability and reduce bugs.")

# Example usage
if __name__ == "__main__":
    assessment = CodeQualityAssessment()
    metrics = assessment.analyze_file("example_code.py")
    report = assessment.generate_report(metrics)
assessment = CodeQualityAssessment()
metrics = assessment.analyze_file("example_code.py")
report = assessment.generate_report(metrics)