from typing import Dict, Any, Optional
import logging
import ast
import re

from modules.methods.methodBase import MethodBase, MethodResult, action

logger = logging.getLogger(__name__)

class MethodCoder(MethodBase):
    """Coder method implementation for code operations"""
    
    def __init__(self, serviceContainer: Any):
        super().__init__(serviceContainer)
        self.name = "coder"
        self.description = "Handle code operations like analysis, generation, and refactoring"
    
    @action
    async def analyze(self, parameters: Dict[str, Any], authData: Optional[Dict[str, Any]] = None) -> MethodResult:
        """Analyze code structure and quality"""
        try:
            code = parameters["code"]
            language = parameters.get("language", "python")
            metrics = parameters.get("metrics", ["complexity", "style", "documentation"])
            
            analysis = {}
            
            if language.lower() == "python":
                # Parse Python code
                try:
                    tree = ast.parse(code)
                    
                    # Calculate basic metrics
                    analysis["metrics"] = {
                        "lines": len(code.splitlines()),
                        "classes": len([node for node in ast.walk(tree) if isinstance(node, ast.ClassDef)]),
                        "functions": len([node for node in ast.walk(tree) if isinstance(node, ast.FunctionDef)]),
                        "imports": len([node for node in ast.walk(tree) if isinstance(node, ast.Import) or isinstance(node, ast.ImportFrom)])
                    }
                    
                    # Check for common issues
                    analysis["issues"] = []
                    
                    # Check for missing docstrings
                    if "documentation" in metrics:
                        for node in ast.walk(tree):
                            if isinstance(node, (ast.ClassDef, ast.FunctionDef)) and not ast.get_docstring(node):
                                analysis["issues"].append({
                                    "type": "missing_docstring",
                                    "line": node.lineno,
                                    "name": node.name
                                })
                    
                    # Check for long functions
                    if "complexity" in metrics:
                        for node in ast.walk(tree):
                            if isinstance(node, ast.FunctionDef):
                                bodyLines = len(node.body)
                                if bodyLines > 20:  # Arbitrary threshold
                                    analysis["issues"].append({
                                        "type": "long_function",
                                        "line": node.lineno,
                                        "name": node.name,
                                        "lines": bodyLines
                                    })
                    
                    # Check for style issues
                    if "style" in metrics:
                        # Check line length
                        for i, line in enumerate(code.splitlines(), 1):
                            if len(line) > 100:  # PEP 8 recommendation
                                analysis["issues"].append({
                                    "type": "line_too_long",
                                    "line": i,
                                    "length": len(line)
                                })
                        
                        # Check for mixed tabs and spaces
                        if "\t" in code and "    " in code:
                            analysis["issues"].append({
                                "type": "mixed_tabs_spaces",
                                "message": "Code mixes tabs and spaces"
                            })
                
                except SyntaxError as e:
                    return self._createResult(
                        success=False,
                        data={"error": f"Syntax error: {str(e)}"}
                    )
            else:
                # TODO: Implement analysis for other languages
                return self._createResult(
                    success=False,
                    data={"error": f"Unsupported language: {language}"}
                )
            
            return self._createResult(
                success=True,
                data={
                    "language": language,
                    "analysis": analysis
                }
            )
        except Exception as e:
            logger.error(f"Error analyzing code: {e}")
            return self._createResult(
                success=False,
                data={"error": f"Analysis failed: {str(e)}"}
            )
    
    @action
    async def generate(self, parameters: Dict[str, Any], authData: Optional[Dict[str, Any]] = None) -> MethodResult:
        """Generate code based on requirements"""
        try:
            requirements = parameters["requirements"]
            language = parameters.get("language", "python")
            style = parameters.get("style", "standard")
            
            # TODO: Implement code generation using AI or templates
            # This is a placeholder implementation
            if language.lower() == "python":
                # Generate a simple Python class based on requirements
                className = re.sub(r'[^a-zA-Z0-9]', '', requirements.split()[0].title())
                code = f"""class {className}:
    \"\"\"
    {requirements}
    \"\"\"
    
    def __init__(self):
        pass
        
    def process(self):
        pass
"""
            else:
                return self._createResult(
                    success=False,
                    data={"error": f"Unsupported language: {language}"}
                )
            
            return self._createResult(
                success=True,
                data={
                    "language": language,
                    "code": code
                }
            )
        except Exception as e:
            logger.error(f"Error generating code: {e}")
            return self._createResult(
                success=False,
                data={"error": f"Generation failed: {str(e)}"}
            )
    
    @action
    async def refactor(self, parameters: Dict[str, Any], authData: Optional[Dict[str, Any]] = None) -> MethodResult:
        """Refactor code for better quality"""
        try:
            code = parameters["code"]
            language = parameters.get("language", "python")
            improvements = parameters.get("improvements", ["style", "complexity"])
            
            if language.lower() == "python":
                # Parse Python code
                try:
                    tree = ast.parse(code)
                    
                    # Apply improvements
                    if "style" in improvements:
                        # Format code (placeholder)
                        code = code.strip()
                    
                    if "complexity" in improvements:
                        # TODO: Implement complexity reduction
                        pass
                    
                    if "documentation" in improvements:
                        # Add missing docstrings
                        for node in ast.walk(tree):
                            if isinstance(node, (ast.ClassDef, ast.FunctionDef)) and not ast.get_docstring(node):
                                # TODO: Generate docstring
                                pass
                
                except SyntaxError as e:
                    return self._createResult(
                        success=False,
                        data={"error": f"Syntax error: {str(e)}"}
                    )
            else:
                return self._createResult(
                    success=False,
                    data={"error": f"Unsupported language: {language}"}
                )
            
            return self._createResult(
                success=True,
                data={
                    "language": language,
                    "code": code,
                    "improvements": improvements
                }
            )
        except Exception as e:
            logger.error(f"Error refactoring code: {e}")
            return self._createResult(
                success=False,
                data={"error": f"Refactoring failed: {str(e)}"}
            )