"""GPU compute kernels for rendering operations."""

from __future__ import annotations

import numpy as np
import logging
from typing import Dict, Any, Optional

logger = logging.getLogger(__name__)


class RenderingKernels:
    """Collection of GPU kernels for rendering operations."""

    def __init__(self, backend_type: str = "cpu"):
        self.backend_type = backend_type
        self.kernels: Dict[str, Any] = {}

    def compile_kernel(self, kernel_name: str, source_code: str) -> bool:
        """Compile a GPU kernel."""
        try:
            # Placeholder for actual kernel compilation
            self.kernels[kernel_name] = {
                'source': source_code,
                'compiled': True,
                'backend': self.backend_type
            }
            logger.info(f"Compiled kernel: {kernel_name}")
            return True
        except Exception as e:
            logger.error(f"Failed to compile kernel {kernel_name}: {e}")
            return False

    def execute_kernel(self, kernel_name: str, *args, **kwargs) -> Optional[np.ndarray]:
        """Execute a compiled kernel."""
        if kernel_name not in self.kernels:
            logger.error(f"Kernel {kernel_name} not found")
            return None

        try:
            # Placeholder for actual kernel execution
            logger.debug(f"Executing kernel: {kernel_name}")
            return np.array([])  # Placeholder result
        except Exception as e:
            logger.error(f"Failed to execute kernel {kernel_name}: {e}")
            return None

    def get_kernel_info(self, kernel_name: str) -> Optional[Dict[str, Any]]:
        """Get information about a compiled kernel."""
        return self.kernels.get(kernel_name)

    def list_kernels(self) -> List[str]:
        """List all compiled kernels."""
        return list(self.kernels.keys())

    def clear_kernels(self):
        """Clear all compiled kernels."""
        self.kernels.clear()