def assert_same_read_results(source, dst_shape, dst_dtype, dst_transform,
dst_nodata, dst_projection, resampling):
expected = np.empty(dst_shape, dtype=dst_dtype)
with source.open() as src:
rasterio.warp.reproject(src.data,
expected,
src_transform=src.transform,
src_crs=str(src.crs),
src_nodata=src.nodata,
dst_transform=dst_transform,
dst_crs=str(dst_projection),
dst_nodata=dst_nodata,
resampling=resampling)
result = np.empty(dst_shape, dtype=dst_dtype)
with datacube.set_options(reproject_threads=1):
read_from_source(source,
result,
dst_transform=dst_transform,
dst_nodata=dst_nodata,
dst_projection=dst_projection,
resampling=resampling)
assert np.isclose(result, expected, atol=0, rtol=0.05,
equal_nan=True).all()
return result
def _test_helper(source, dst_shape, dst_dtype, dst_transform, dst_nodata,
dst_projection, resampling, **kwargs):
result = numpy.empty(dst_shape, dtype=dst_dtype)
read_from_source(source,
result,
dst_transform=dst_transform,
dst_nodata=dst_nodata,
dst_projection=dst_projection,
resampling=resampling,
**kwargs)
expected = numpy.empty(dst_shape, dtype=dst_dtype)
with source.open() as src:
rasterio.warp.reproject(src.data,
expected,
src_transform=src.transform,
src_crs=str(src.crs),
src_nodata=src.nodata,
dst_transform=dst_transform,
dst_crs=str(dst_projection),
dst_nodata=dst_nodata,
resampling=resampling,
**kwargs)
assert numpy.isclose(result, expected, atol=0, rtol=0.03,
equal_nan=True).all()
return result
def test_read_data_from_outside_file_region(self, make_sample_netcdf, dst_transform):
sample_nc, geobox, written_data = make_sample_netcdf
source = RasterFileDataSource(sample_nc, 1)
dest = np.zeros((200, 1000))
dst_nodata = -999
dst_projection = geometry.CRS('EPSG:3577')
dst_resampling = Resampling.nearest
# Read exactly the hunk of data that we wrote
read_from_source(source, dest, dst_transform, dst_nodata, dst_projection, dst_resampling)
assert np.all(dest == -999)
def xtest_failed_data_read(self, make_sample_geotiff, dst_nodata):
sample_geotiff_path, geobox, written_data = make_sample_geotiff(dst_nodata)
src_transform = Affine(25.0, 0.0, 1200000.0,
0.0, -25.0, -4200000.0)
source = RasterFileDataSource(sample_geotiff_path, 1, transform=src_transform)
dest = np.zeros((20, 100))
dst_nodata = -999
dst_projection = geometry.CRS('EPSG:3577')
dst_resampling = Resampling.nearest
# Read exactly the hunk of data that we wrote
dst_transform = Affine(25.0, 0.0, 127327.0,
0.0, -25.0, -417232.0)
read_from_source(source, dest, dst_transform, dst_nodata, dst_projection, dst_resampling)
assert np.all(written_data == dest)
def test_read_with_rasterfiledatasource(self, make_sample_geotiff):
sample_geotiff_path, geobox, written_data = make_sample_geotiff
source = RasterFileDataSource(str(sample_geotiff_path), 1)
dest = np.zeros_like(written_data)
dst_transform = geobox.transform
dst_nodata = -999
dst_projection = geometry.CRS('EPSG:3577')
dst_resampling = Resampling.nearest
# Read exactly the hunk of data that we wrote
read_from_source(source, dest, dst_transform, dst_nodata,
dst_projection, dst_resampling)
assert np.all(written_data == dest)
# Try reading from partially outside of our area
xoff = 50
offset_transform = dst_transform * Affine.translation(xoff, 0)
dest = np.zeros_like(written_data)
read_from_source(source, dest, offset_transform, dst_nodata,
dst_projection, dst_resampling)
assert np.all(written_data[:, xoff:] == dest[:, :xoff])
# Try reading from complete outside of our area, should return nodata
xoff = 300
offset_transform = dst_transform * Affine.translation(xoff, 0)
dest = np.zeros_like(written_data)
read_from_source(source, dest, offset_transform, dst_nodata,
dst_projection, dst_resampling)
assert np.all(dst_nodata == dest)
