utils/error_handler.py

"""
Error handling utilities for Manim Video Generator
"""

from typing import Dict, List, Optional
import re
import logging
from config.constants import ErrorType

logger = logging.getLogger(__name__)

class ErrorHandler:
    """Handle and provide helpful error messages"""
    
    COMMON_ERRORS = {
        "ImportError": {
            "message": "Missing required packages. Please ensure all dependencies are installed.",
            "solution": "Run: pip install -r requirements.txt"
        },
        "SyntaxError": {
            "message": "The generated code has syntax errors.",
            "solution": "Try regenerating with a more specific prompt or different model."
        },
        "AttributeError": {
            "message": "Invalid Manim object or method used.",
            "solution": "The AI may have used outdated Manim syntax. Try a different model."
        },
        "TimeoutError": {
            "message": "Rendering took too long and was cancelled.",
            "solution": "Try using lower quality settings or simplify your prompt."
        },
        "FFmpegError": {
            "message": "Video encoding failed.",
            "solution": "Check if FFmpeg is properly installed and accessible."
        },
        "FileNotFoundError": {
            "message": "Required system command not found.",
            "solution": "Ensure Manim and FFmpeg are properly installed and in PATH."
        },
        "MemoryError": {
            "message": "Insufficient memory to complete rendering.",
            "solution": "Try lower quality settings or restart the application."
        },
        "PermissionError": {
            "message": "Insufficient permissions to write output files.",
            "solution": "Check file permissions and available disk space."
        }
    }
    
    ERROR_PATTERNS = {
        r"No module named '(\w+)'": "ImportError",
        r"invalid syntax": "SyntaxError", 
        r"'(\w+)' object has no attribute '(\w+)'": "AttributeError",
        r"Timed out": "TimeoutError",
        r"ffmpeg.*not found": "FFmpegError",
        r"No such file or directory": "FileNotFoundError",
        r"MemoryError": "MemoryError",
        r"Permission denied": "PermissionError",
        r"Error:": "RenderingError",
        r"Exception:": "RenderingError",
        r"Failed to": "RenderingError",
        r"Could not": "RenderingError"
    }
    
    # Error type to user-friendly message mapping
    ERROR_MESSAGES = {
        ErrorType.RENDERING_ERROR: {
            "user_message": "Failed to render the animation. Please check the error details below.",
            "suggestions": [
                "Try reducing the complexity of your animation",
                "Lower the video quality setting",
                "Check if Manim is properly installed",
                "Ensure you have enough system resources",
                "Check the error details for specific issues"
            ]
        },
        ErrorType.CODE_GENERATION_ERROR: {
            "user_message": "Failed to generate animation code. Please try rephrasing your prompt.",
            "suggestions": [
                "Make your prompt more specific and clear",
                "Try a different AI model",
                "Break down complex animations into simpler parts",
                "Check the example prompts for inspiration"
            ]
        },
        ErrorType.PROMPT_ERROR: {
            "user_message": "Error processing your prompt. Please try again with a clearer description.",
            "suggestions": [
                "Be more specific about what you want to animate",
                "Include mathematical concepts and visual elements",
                "Mention colors and timing preferences",
                "Keep the description focused and concise"
            ]
        },
        ErrorType.SYSTEM_ERROR: {
            "user_message": "A system error occurred. Please check the error details below.",
            "suggestions": [
                "Refresh the page and try again",
                "Check your internet connection",
                "Ensure you have the latest version of the application",
                "Clear your browser cache",
                "Check the error details for specific issues"
            ]
        },
        ErrorType.VALIDATION_ERROR: {
            "user_message": "The generated code has validation errors. Please try again.",
            "suggestions": [
                "Try a simpler animation",
                "Use a different AI model",
                "Check the example prompts for reference",
                "Make your prompt more specific"
            ]
        },
        ErrorType.TIMEOUT_ERROR: {
            "user_message": "The operation took too long to complete. Please try again with simpler settings.",
            "suggestions": [
                "Lower the video quality setting",
                "Simplify your animation",
                "Try a faster AI model",
                "Break down complex animations into parts"
            ]
        },
        ErrorType.API_ERROR: {
            "user_message": "Error communicating with the AI service. Please try again.",
            "suggestions": [
                "Check your API key",
                "Verify your internet connection",
                "Try again in a few minutes",
                "Contact support if the issue persists"
            ]
        }
    }
    
    @classmethod
    def classify_error(cls, error_message: str) -> str:
        """Classify error based on message patterns"""
        error_lower = error_message.lower()
        
        for pattern, error_type in cls.ERROR_PATTERNS.items():
            if re.search(pattern, error_lower):
                return error_type
        
        return "UnknownError"
    
    @classmethod
    def handle_error(cls, error_type: ErrorType, error_message: str) -> None:
        """Handle an error by logging it and potentially taking additional actions.
        
        Args:
            error_type: Type of error that occurred
            error_message: Detailed error message
        """
        logger.error(f"{error_type.name}: {error_message}")
        
        # Additional error handling logic can be added here
        # For example, sending error reports, updating metrics, etc.
    
    @classmethod
    def get_user_friendly_error(cls, error_type: str, error_message: str) -> Dict[str, str]:
        """Get user-friendly error message and suggestions.
        
        Args:
            error_type: Type of error (can be ErrorType or string)
            error_message: Original error message
            
        Returns:
            Dictionary containing user-friendly message and suggestions
        """
        # Try to match error type
        if isinstance(error_type, ErrorType):
            error_info = cls.ERROR_MESSAGES.get(error_type)
        else:
            # Try to infer error type from message
            error_type = cls.classify_error(error_message)
            error_info = cls.ERROR_MESSAGES.get(error_type)
        
        if not error_info:
            # Fallback to generic error
            error_info = {
                "user_message": f"An error occurred: {error_message}",
                "suggestions": [
                    "Refresh the page",
                    "Try a different prompt",
                    "Check your settings",
                    "Contact support if the issue persists"
                ]
            }
        
        return error_info
    
    @classmethod
    def suggest_fixes(cls, error_message: str) -> List[str]:
        """Get suggested fixes for an error.
        
        Args:
            error_message: The error message to analyze
            
        Returns:
            List of suggested fixes
        """
        error_type = cls.classify_error(error_message)
        error_info = cls.ERROR_MESSAGES.get(error_type)
        
        if error_info and "suggestions" in error_info:
            return error_info["suggestions"]
        
        return [
            "Try a simpler animation",
            "Check if Manim is properly installed",
            "Ensure you have enough system resources",
            "Try a different AI model"
        ]
    
    @classmethod
    def get_debug_info(cls, error_message: str, code: str = None) -> Dict[str, any]:
        """Get detailed debug information for error reporting"""
        debug_info = {
            "error_type": cls.classify_error(error_message),
            "error_message": error_message,
            "suggested_fixes": cls.suggest_fixes(error_message),
            "timestamp": None,  # Would be set by caller
            "code_length": len(code) if code else None,
            "has_imports": "from manim import" in code if code else None,
            "has_scene_class": "class" in code and "Scene" in code if code else None
        }
        
        return debug_info
    
    @classmethod
    def format_error_for_display(cls, error_info: Dict[str, str]) -> str:
        """Format error information for user display"""
        formatted = f"❌ **{error_info['user_message']}**\n\n"
        formatted += f"💡 **Solution:** {error_info['solution']}\n\n"
        
        if error_info.get('technical_details'):
            formatted += f"🔧 **Technical Details:** {error_info['technical_details']}"
        
        return formatted
    
    @classmethod
    def is_recoverable_error(cls, error_type: str) -> bool:
        """Determine if an error is recoverable with user action"""
        recoverable_errors = [
            "SyntaxError", "AttributeError", "TimeoutError", 
            "ImportError", "FileNotFoundError"
        ]
        return error_type in recoverable_errors
    
    @classmethod
    def get_error_severity(cls, error_type: str) -> str:
        """Get error severity level"""
        severity_map = {
            "ImportError": "high",
            "FFmpegError": "high", 
            "MemoryError": "high",
            "SyntaxError": "medium",
            "AttributeError": "medium",
            "TimeoutError": "medium",
            "FileNotFoundError": "low",
            "PermissionError": "low"
        }
        return severity_map.get(error_type, "medium")
    
    @classmethod
    def create_error_report(cls, error_type: str, error_message: str, code: str = None) -> Dict:
        """Create a comprehensive error report"""
        error_info = cls.get_user_friendly_error(error_type, error_message)
        debug_info = cls.get_debug_info(error_message, code)
        
        return {
            "error_info": error_info,
            "debug_info": debug_info,
            "severity": cls.get_error_severity(error_type),
            "recoverable": cls.is_recoverable_error(error_type),
            "formatted_message": cls.format_error_for_display(error_info)
        }