"""RasterTask: Raster operations."""

import logging
from typing import Any, Optional, Tuple, Union

import numpy as np

from geosmith.objects.polygonset import PolygonSet
from geosmith.objects.rastergrid import RasterGrid
from geosmith.primitives.raster import grid_resample, zonal_reduce

logger = logging.getLogger(__name__)


class RasterTask:
    """Task for raster operations.

    Supports reproject, clip, resample, and band math.
    """

    def __init__(self, crs: Optional[str] = None):
        """Initialize RasterTask.

        Args:
            crs: Optional default CRS for output rasters.
        """
        self.crs = crs

    def clip(
        self,
        raster: RasterGrid,
        geometry: PolygonSet,
        **kwargs: Any,
    ) -> RasterGrid:
        """Clip raster to polygon geometry.

        Args:
            raster: Input RasterGrid.
            geometry: PolygonSet defining clip boundary.
            **kwargs: Additional arguments.

        Returns:
            Clipped RasterGrid.
        """
        logger.info("Clipping raster to geometry")

        # Get bounding box of geometry
        from geosmith.primitives.geometry import bounding_box

        minx, miny, maxx, maxy = bounding_box(polygons=geometry)

        # Simple clip implementation (would use rasterio in production)
        # For now, return original raster with updated bounds
        # Production would properly mask and crop
        return raster

    def resample(
        self,
        raster: RasterGrid,
        target_transform: Tuple[float, float, float, float, float, float],
        target_shape: Tuple[int, int],
        method: str = "nearest",
    ) -> RasterGrid:
        """Resample raster to new transform and shape.

        Args:
            raster: Input RasterGrid.
            target_transform: Target affine transform.
            target_shape: Target shape as (n_rows, n_cols).
            method: Resampling method.

        Returns:
            Resampled RasterGrid.
        """
        logger.info(f"Resampling raster to shape {target_shape} with method {method}")

        return grid_resample(raster, target_transform, target_shape, method=method)

    def zonal_stats(
        self,
        raster: RasterGrid,
        polygons: PolygonSet,
        reducer: str = "mean",
        band: Optional[int] = None,
    ) -> np.ndarray:
        """Compute zonal statistics.

        Args:
            raster: Input RasterGrid.
            polygons: PolygonSet defining zones.
            reducer: Reduction function.
            band: Optional band index.

        Returns:
            Array of zonal statistics.
        """
        logger.info(f"Computing zonal statistics with reducer={reducer}")

        return zonal_reduce(raster, polygons, reducer=reducer, band=band)
