TYPE: Standardize resampling type

datacube/api/core.py

@@ -18,6 +18,7 @@
 from datacube.storage import reproject_and_fuse, BandInfo
 from datacube.utils import ignore_exceptions_if
 from odc.geo import CRS, yx_, res_, resyx_, Resolution, XY
+from odc.geo.warp import Resampling
 from odc.geo.xr import xr_coords
 from datacube.utils.dates import normalise_dt
 from odc.geo.geom import intersects, box, bbox_union, Geometry
@@ -244,7 +245,7 @@ def load(self,
              measurements: str | list[str] | None = None,
              output_crs: Any = None,
              resolution: int | float | tuple[int | float, int | float] | Resolution | None = None,
-             resampling: str | dict[str, str] | None = None,
+             resampling: Resampling | dict[str, Resampling] | None = None,
              align: XY[float] | Iterable[float] | None = None,
              skip_broken_datasets: bool = False,
              dask_chunks: dict[str, str | int] | None = None,
@@ -878,7 +879,7 @@ def _cbk(*ignored):
     @staticmethod
     def load_data(sources: xarray.DataArray, geobox: GeoBox,
                   measurements: Mapping[str, Measurement] | list[Measurement],
-                  resampling: str | dict[str, str] | None = None,
+                  resampling: Resampling | dict[str, Resampling] | None = None,
                   fuse_func: FuserFunction | Mapping[str, FuserFunction | None] | None = None,
                   dask_chunks: dict[str, str | int] | None = None,
                   skip_broken_datasets: bool = False,
@@ -969,7 +970,7 @@ def __exit__(self, type_, value, traceback):
 
 
 def per_band_load_data_settings(measurements: list[Measurement] | Mapping[str, Measurement],
-                                resampling: str | Mapping[str, str] | None = None,
+                                resampling: Resampling | Mapping[str, Resampling] | None = None,
                                 fuse_func: FuserFunction | Mapping[str, FuserFunction | None] | None = None
                                 ) -> list[Measurement]:
     def with_resampling(m, resampling, default=None):
@@ -982,7 +983,7 @@ def with_fuser(m, fuser, default=None):
         m['fuser'] = fuser.get(m.name, default)
         return m
 
-    if isinstance(resampling, str):
+    if resampling is not None and not isinstance(resampling, dict):
         resampling = {'*': resampling}
 
     if fuse_func is None or callable(fuse_func):

datacube/storage/_load.py

@@ -23,6 +23,7 @@
 from odc.geo.geobox import GeoBox
 from odc.geo.roi import roi_is_empty
 from odc.geo.xr import xr_coords
+from odc.geo.warp import Resampling
 from datacube.model import Measurement
 from datacube.drivers._types import ReaderDriver
 from ..drivers.datasource import DataSource
@@ -47,7 +48,7 @@ def reproject_and_fuse(datasources: List[DataSource],
                        destination: np.ndarray,
                        dst_geobox: GeoBox,
                        dst_nodata: Optional[Union[int, float]],
-                       resampling: str = 'nearest',
+                       resampling: Resampling = 'nearest',
                        fuse_func: Optional[FuserFunction] = None,
                        skip_broken_datasets: bool = False,
                        progress_cbk: Optional[ProgressFunction] = None,

datacube/utils/cog.py

@@ -18,6 +18,7 @@
 from .io import check_write_path
 from odc.geo.geobox import GeoBox
 from odc.geo.math import align_up
+from odc.geo.warp import Resampling, resampling_s2rio
 
 from deprecat import deprecat
 
@@ -38,7 +39,7 @@ def _write_cog(
     nodata: Optional[float] = None,
     overwrite: bool = False,
     blocksize: Optional[int] = None,
-    overview_resampling: Optional[str] = None,
+    overview_resampling: Optional[Resampling] = None,
     overview_levels: Optional[List[int]] = None,
     ovr_blocksize: Optional[int] = None,
     use_windowed_writes: bool = False,
@@ -118,7 +119,10 @@ def _write_cog(
             fname, overwrite
         )  # aborts if overwrite=False and file exists already
 
-    resampling = rasterio.enums.Resampling[overview_resampling]
+    if isinstance(overview_resampling, str):
+        resampling = resampling_s2rio(overview_resampling)
+    else:
+        resampling = overview_resampling
 
     if (blocksize % 16) != 0:
         warnings.warn("Block size must be a multiple of 16, will be adjusted")
@@ -219,7 +223,7 @@ def write_cog(
     overwrite: bool = False,
     blocksize: Optional[int] = None,
     ovr_blocksize: Optional[int] = None,
-    overview_resampling: Optional[str] = None,
+    overview_resampling: Optional[Resampling] = None,
     overview_levels: Optional[List[int]] = None,
     use_windowed_writes: bool = False,
     intermediate_compression: Union[bool, str, Dict[str, Any]] = False,

docs/about/whats_new.rst

@@ -8,6 +8,9 @@ What's New
 v1.9.next
 =========
 
+- Standardize resampling input supported to `odc.geo.warp.Resampling`.
+
+
 v1.9.0-rc3 (27th March 2024)
 ============================
 

tests/storage/test_storage_read.py

@@ -4,6 +4,9 @@
 # SPDX-License-Identifier: Apache-2.0
 import numpy as np
 
+import pytest
+from rasterio.enums import Resampling
+
 from datacube.storage._read import (
     read_time_slice,
     read_time_slice_v2,
@@ -27,14 +30,20 @@
 )
 
 
+nearest_resampling_parametrize = pytest.mark.parametrize(
+    "nearest_resampling", ['nearest', Resampling.nearest, Resampling.nearest.value]
+)
+
+
 def test_pick_read_scale():
     assert pick_read_scale(0.7) == 1
     assert pick_read_scale(1.3) == 1
     assert pick_read_scale(2.3) == 2
     assert pick_read_scale(1.99999) == 2
 
 
-def test_read_paste(tmpdir):
+@nearest_resampling_parametrize
+def test_read_paste(nearest_resampling, tmpdir):
     from datacube.testutils import mk_test_image
     from datacube.testutils.io import write_gtiff
     from pathlib import Path
@@ -46,7 +55,7 @@ def test_read_paste(tmpdir):
 
     mm = write_gtiff(pp/'tst-read-paste-128x64-int16.tif', xx, nodata=None)
 
-    def _read(geobox, resampling='nearest',
+    def _read(geobox, resampling=nearest_resampling,
               fallback_nodata=-999,
               dst_nodata=-999,
               check_paste=False):
@@ -112,7 +121,8 @@ def _read(geobox, resampling='nearest',
     np.testing.assert_array_equal(xx[1::2, 1::2], yy)
 
 
-def test_read_with_reproject(tmpdir):
+@nearest_resampling_parametrize
+def test_read_with_reproject(nearest_resampling, tmpdir):
     from datacube.testutils import mk_test_image
     from datacube.testutils.io import write_gtiff
     from pathlib import Path
@@ -131,7 +141,7 @@ def test_read_with_reproject(tmpdir):
     assert mm.geobox == tile
 
     def _read(geobox,
-              resampling='nearest',
+              resampling=nearest_resampling,
               fallback_nodata=None,
               dst_nodata=-999):
         with RasterFileDataSource(mm.path, 1, nodata=fallback_nodata).open() as rdr:
@@ -171,7 +181,8 @@ def _read(geobox,
     assert nvalid > nempty
 
 
-def test_read_paste_v2(tmpdir):
+@nearest_resampling_parametrize
+def test_read_paste_v2(nearest_resampling, tmpdir):
     from datacube.testutils import mk_test_image
     from datacube.testutils.io import write_gtiff
     from datacube.testutils.iodriver import open_reader
@@ -184,7 +195,7 @@ def test_read_paste_v2(tmpdir):
 
     mm = write_gtiff(pp/'tst-read-paste-128x64-int16.tif', xx, nodata=None)
 
-    def _read(geobox, resampling='nearest',
+    def _read(geobox, resampling=nearest_resampling,
               fallback_nodata=-999,
               dst_nodata=-999,
               check_paste=False):
@@ -256,7 +267,8 @@ def _read(geobox, resampling='nearest',
     np.testing.assert_array_equal(xx[1::2, 1::2], yy)
 
 
-def test_read_with_reproject_v2(tmpdir):
+@nearest_resampling_parametrize
+def test_read_with_reproject_v2(nearest_resampling, tmpdir):
     from datacube.testutils import mk_test_image
     from datacube.testutils.io import write_gtiff
     from datacube.testutils.iodriver import open_reader
@@ -268,7 +280,7 @@ def test_read_with_reproject_v2(tmpdir):
     assert (xx != -999).all()
     tile = AlbersGS.tile_geobox((17, -40))[:64, :128]
 
-    def _read(geobox, resampling='nearest',
+    def _read(geobox, resampling=nearest_resampling,
               fallback_nodata=-999,
               dst_nodata=-999):