from typing import Dict, List, Any, Optional
import numpy as np
from pathlib import Path
import xml.etree.ElementTree as ET
from .models.svgElements import SVGElement
from .models.svgQuantum import QuantumRenderer
from .models.svgAIGen import AIStyleTransfer
from .models.svgBio import BioRenderer
from .models.svgHolo import HolographicRenderer

class SVGFTW:
    """
    Main SVG manipulation class with support for quantum computing, AI, and bio-algorithm features.
    """
    
    def __init__(self, width: int = 100, height: int = 100):
        """
        Initialize SVG canvas with extended capabilities.
        
        Args:
            width: Canvas width in pixels
            height: Canvas height in pixels
        """
        self.width = width
        self.height = height
        self.elements: List[SVGElement] = []
        self.quantum_renderer = QuantumRenderer()
        self.ai_style = AIStyleTransfer()
        self.bio_renderer = BioRenderer()
        self.holo_renderer = HolographicRenderer()
        self.metadata: Dict[str, Any] = {
            "quantum_optimized": False,
            "holographic_depth": 0,
            "ai_style_model": None
        }

    def add_element(self, element_type: str, **attrs) -> 'SVGFTW':
        """
        Add an SVG element with support for extended attributes.
        
        Args:
            element_type: Type of SVG element (path, rect, etc.)
            **attrs: Element attributes including quantum/AI/bio features
        """
        quantum_attrs = {
            k: v for k, v in attrs.items() 
            if k.startswith('quantum_')
        }
        
        ai_attrs = {
            k: v for k, v in attrs.items() 
            if k.startswith('ai_')
        }
        
        bio_attrs = {
            k: v for k, v in attrs.items() 
            if k.startswith('bio_')
        }
        
        # Process quantum attributes if present
        if quantum_attrs:
            attrs = self.quantum_renderer.process_attributes(attrs)
            
        # Apply AI style transfer if specified
        if ai_attrs:
            attrs = self.ai_style.apply_style(attrs)
            
        # Apply bio-algorithm transformations
        if bio_attrs:
            attrs = self.bio_renderer.apply_bio_transforms(attrs)

        element = SVGElement(element_type, attrs)
        self.elements.append(element)
        return self

    def set_quantum_optimization(self, enabled: bool = True) -> None:
        """Enable or disable quantum optimization for rendering."""
        self.metadata["quantum_optimized"] = enabled
        if enabled:
            self.quantum_renderer.initialize_quantum_state()

    def set_holographic_depth(self, depth: int) -> None:
        """Set the holographic depth for 3D-like rendering."""
        self.metadata["holographic_depth"] = depth
        self.holo_renderer.set_depth(depth)

    def apply_ai_style(self, model_name: str) -> None:
        """Apply an AI style transfer model to the entire SVG."""
        self.metadata["ai_style_model"] = model_name
        self.ai_style.load_model(model_name)

    def to_string(self) -> str:
        """Convert the SVG to a string with extended attributes."""
        root = ET.Element('svg')
        root.set('width', str(self.width))
        root.set('height', str(self.height))
        root.set('xmlns', 'http://www.w3.org/2000/svg')
        
        # Add extended metadata
        for key, value in self.metadata.items():
            if value is not None:
                root.set(key, str(value))

        # Add elements with their processed attributes
        for element in self.elements:
            elem = ET.SubElement(root, element.type)
            for key, value in element.attributes.items():
                elem.set(key, str(value))

        return ET.tostring(root, encoding='unicode', method='xml')

    def save(self, filepath: str) -> None:
        """Save the SVG to a file."""
        path = Path(filepath)
        path.write_text(self.to_string())

    @classmethod
    def from_file(cls, filepath: str) -> 'SVGFTW':
        """Create an SVGFTW instance from an existing SVG file."""
        tree = ET.parse(filepath)
        root = tree.getroot()
        
        # Extract dimensions
        width = int(root.get('width', 100))
        height = int(root.get('height', 100))
        
        instance = cls(width, height)
        
        # Load metadata
        for key in instance.metadata.keys():
            value = root.get(key)
            if value is not None:
                instance.metadata[key] = value

        # Load elements
        for elem in root:
            attrs = elem.attrib.copy()
            instance.add_element(elem.tag, **attrs)

        return instance

    def cuda_accelerate(self) -> None:
        """Enable CUDA acceleration for rendering operations."""
        try:
            import numba.cuda
            self.quantum_renderer.enable_cuda()
            self.ai_style.enable_cuda()
            self.bio_renderer.enable_cuda()
            self.holo_renderer.enable_cuda()
        except ImportError:
            raise RuntimeError("CUDA acceleration requires numba to be installed")
