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import json
import unittest
import numpy as np
import shapely
from samgis_lisa_on_cuda.io.geo_helpers import load_affine_transformation_from_matrix
from tests import TEST_EVENTS_FOLDER
class TestGeoHelpers(unittest.TestCase):
def test_load_affine_transformation_from_matrix(self):
name_fn = "samexporter_predict"
expected_output = {
'europe': (
1524458.6551710723, 0.0, 152.87405657035242, 4713262.318571913, -762229.3275855362, -2356860.470370812
),
'north_america': (
-13855281.495084189, 0.0, 1222.9924525628194, 6732573.451358326, 6927640.747542094, -3368121.214358007
),
'oceania': (
7269467.138033403, 0.0, 9783.93962050256, -166326.9735485418, -3634733.5690167015, 68487.57734351706
),
'south_america': (
-7922544.351904369, 0.0, 305.74811314070394, -5432228.234830927, 3961272.1759521845, 2715655.4952457524
)}
with open(TEST_EVENTS_FOLDER / f"{name_fn}.json") as tst_json:
inputs_outputs = json.load(tst_json)
for k, input_output in inputs_outputs.items():
print(f"k:{k}.")
output = load_affine_transformation_from_matrix(input_output["input"]["matrix"])
assert output.to_shapely() == expected_output[k]
def test_load_affine_transformation_from_matrix_value_error(self):
name_fn = "samexporter_predict"
with open(TEST_EVENTS_FOLDER / f"{name_fn}.json") as tst_json:
inputs_outputs = json.load(tst_json)
with self.assertRaises(ValueError):
try:
io_value_error = inputs_outputs["europe"]["input"]["matrix"][:5]
load_affine_transformation_from_matrix(io_value_error)
except ValueError as ve:
print(f"ve:{ve}.")
self.assertEqual(str(ve), "Expected 6 coefficients, found 5; argument type: <class 'list'>.")
raise ve
def test_load_affine_transformation_from_matrix_exception(self):
name_fn = "samexporter_predict"
with open(TEST_EVENTS_FOLDER / f"{name_fn}.json") as tst_json:
inputs_outputs = json.load(tst_json)
with self.assertRaises(Exception):
try:
io_exception = inputs_outputs["europe"]["input"]["matrix"]
io_exception[0] = "ciao"
load_affine_transformation_from_matrix(io_exception)
except Exception as e:
print(f"e:{e}.")
self.assertEqual(str(e), "exception:could not convert string to float: 'ciao', "
"check https://github.com/rasterio/affine project for updates")
raise e
def test_get_vectorized_raster_as_geojson_ok(self):
from rasterio.transform import Affine
from samgis_lisa_on_cuda.io.geo_helpers import get_vectorized_raster_as_geojson
name_fn = "samexporter_predict"
with open(TEST_EVENTS_FOLDER / f"{name_fn}.json") as tst_json:
inputs_outputs = json.load(tst_json)
for k, input_output in inputs_outputs.items():
print(f"k:{k}.")
mask = np.load(TEST_EVENTS_FOLDER / name_fn / k / "mask.npy")
transform = Affine.from_gdal(*input_output["input"]["matrix"])
output = get_vectorized_raster_as_geojson(mask=mask, transform=transform)
assert output["n_shapes_geojson"] == input_output["output"]["n_shapes_geojson"]
output_geojson = shapely.from_geojson(output["geojson"])
expected_output_geojson = shapely.from_geojson(input_output["output"]["geojson"])
assert shapely.equals_exact(output_geojson, expected_output_geojson, tolerance=0.000006)
def test_get_vectorized_raster_as_geojson_fail(self):
from samgis_lisa_on_cuda.io.geo_helpers import get_vectorized_raster_as_geojson
name_fn = "samexporter_predict"
with open(TEST_EVENTS_FOLDER / f"{name_fn}.json") as tst_json:
inputs_outputs = json.load(tst_json)
for k, input_output in inputs_outputs.items():
print(f"k:{k}.")
mask = np.load(TEST_EVENTS_FOLDER / name_fn / k / "mask.npy")
# Could be also another generic Exception, here we intercept TypeError caused by wrong matrix input on
# rasterio.Affine.from_gdal() wrapped by get_affine_transform_from_gdal()
with self.assertRaises(IndexError):
try:
wrong_matrix = 1.0,
get_vectorized_raster_as_geojson(mask=mask, transform=wrong_matrix)
except IndexError as te:
print(f"te:{te}.")
self.assertEqual(str(te), 'tuple index out of range')
raise te
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