def get_raster_prep_value(self, value, is_candidate):
"""
Return a GDALRaster if conversion is successful, otherwise return None.
"""
if isinstance(value, gdal.GDALRaster):
return value
elif is_candidate:
with suppress(GDALException):
return gdal.GDALRaster(value)
elif isinstance(value, dict):
try:
return gdal.GDALRaster(value)
except GDALException:
raise ValueError("Couldn't create spatial object from lookup value '%s'." % value)
def gdal_raster(faker, field, srid, *args, **kwargs):
scale = faker.pyfloat(positive=True)
return gdal.GDALRaster({
"width":
faker.random_int(min=1, max=1024),
"height":
faker.random_int(min=1, max=1024),
"name":
faker.word(),
"srid":
srid,
"scale": [scale, -scale],
"bands": [{
"data": range(faker.random_int(min=1, max=1024))
}],
})
