"""
Block model generation for mining applications.

This module provides functions for creating 3D block models from drillhole data,
including grid generation, grade estimation, and export to industry-standard formats.

"""

from __future__ import annotations

import logging
from pathlib import Path
from typing import Any

import numpy as np
import pandas as pd

logger = logging.getLogger(__name__)


def create_block_model_grid(
    coords: np.ndarray,
    block_size_xy: float = 25.0,
    block_size_z: float = 10.0,
    bounds: dict[str, float] | None = None,
    quantile_padding: float = 0.05,
) -> tuple[np.ndarray, dict[str, Any]]:
    """
    Create a 3D block model grid from sample coordinates.

    Generates a regular 3D grid with specified block sizes, suitable for
    mine planning applications. Grid bounds can be specified or auto-computed
    from data with optional padding.

    Args:
        coords: Sample coordinates (n_samples, 3) - [X, Y, Z]
        block_size_xy: Block size in X and Y directions (meters)
        block_size_z: Block size in Z direction (meters)
        bounds: Optional dictionary with keys 'x_min', 'x_max', 'y_min', 'y_max',
                'z_min', 'z_max'. If None, computed from data.
        quantile_padding: Padding as quantile (0-1) if bounds not specified.
                         Uses 5th and 95th percentiles by default.

    Returns:
        Tuple of (grid_coords, grid_info):
            - grid_coords: Grid coordinates (n_blocks, 3) - block centroids
            - grid_info: Dictionary with grid metadata:
                - 'nx', 'ny', 'nz': Grid dimensions
                - 'n_blocks': Total number of blocks
                - 'x_range', 'y_range', 'z_range': Coordinate ranges
                - 'block_size_xy', 'block_size_z': Block sizes

    Example:
        >>> coords = samples[['x', 'y', 'z']].values
        >>> grid, info = create_block_model_grid(
        ...     coords, block_size_xy=10.0, block_size_z=5.0
        ... )
    """
