"""
DynamicCodeAnalyzer
Generated by Eden via recursive self-improvement
2025-10-28 11:57:04.029774
"""

class DynamicCodeAnalyzer:
    """
    A class that dynamically analyzes and optimizes Python code.
    Provides real-time feedback on code quality and suggests improvements.
    
    Attributes:
        complexity_limit (int): Maximum allowed code complexity score.
        style_guide (dict): Dictionary of coding style preferences.
    """

    def __init__(self, complexity_limit=8):
        self.complexity_limit = complexity_limit
        self.style_guide = {
            "indent_size": 4,
            "max_line_length": 120,
            "use_spaces_instead_of_tabs": True,
        }

    def analyze_code(self, code):
        """
        Analyzes given Python code and returns a quality report.
        
        Args:
            code (str): The Python code to analyze.
            
        Returns:
            dict: A dictionary containing the analysis results including
                  complexity score, style violations, and suggestions.
        """
        # Calculate code complexity
        complexity_score = self._calculate_complexity(code)
        
        # Check for style issues
        style_violations = self._check_style_guide(code)
        
        # Generate optimization suggestions
        suggestions = self._generate_improvementSuggestions(complexity_score, style_violations)
        
        return {
            "complexity_score": complexity_score,
            "style_violations": style_violations,
            "improvement_suggestions": suggestions
        }

    def _calculate_complexity(self, code):
        """
        Calculates the cognitive complexity of the code.
        
        Args:
            code (str): The Python code to analyze.
            
        Returns:
            int: The calculated complexity score.
        """
        # Simplified complexity calculation based on line count and nesting level
        lines = code.split('\n')
        complexity = len(lines) * 2
        
        return complexity

    def _check_style_guide(self, code):
        """
        Checks if the code adheres to the style guide preferences.
        
        Args:
            code (str): The Python code to analyze.
            
        Returns:
            list: A list of style violations found in the code.
        """
        violations = []
        
        # Check indentation
        if self.style_guide["use_spaces_instead_of_tabs"]:
            import re
            tab_pattern = r'\t'
            matches = re.findall(tab_pattern, code)
            if matches:
                violations.append("Found tabs instead of spaces")
                
        return violations

    def _generate_improvementSuggestions(self, complexity_score, style_violations):
        """
        Generates suggestions to improve code quality.
        
        Args:
            complexity_score (int): The calculated complexity score.
            style_violations (list): List of style violations found.
            
        Returns:
            list: A list of improvement suggestions.
        """
        suggestions = []
        
        if complexity_score > self.complexity_limit:
            suggestions.append(f"Consider refactoring. Complexity score {complexity_score} exceeds recommended limit {self.complexity_limit}")
            
        if style_violations:
            suggestions.append("Fix any identified style violations")
            
        return suggestions
# Example 1: Basic code analysis
analyzer = DynamicCodeAnalyzer()
code = """
def calculate_sum(n):
    result = 0
    for i in range(n):
        result += i
    return result
"""

analysis = analyzer.analyze_code(code)
print(analysis["improvement_suggestions"])  # Output improvement suggestions

# Example 2: Custom complexity limit and style guide
custom_analyzer = DynamicCodeAnalyzer(complexity_limit=10)
custom_style_guide = {
    "indent_size": 2,
    "max_line_length": 80,
    "use_spaces_instead_of_tabs": False,
}
custom_analyzer.style_guide.update(custom_style_guide)

code = """
def calculate_sum(n):
    result = 0
    for i in range(n):
        result += i
    return result
"""

analysis = custom_analyzer.analyze_code(code)
print(analysis["style_violations"])  # Output style violations if any