def test_get_storm_flod_response(self):
blox_coordinates = address_to_house_data(
"Bryghusgade, 1473 København")["coordinates"]
blox_risk = get_storm_flod_response(blox_coordinates)["risk"]
self.assertEqual(blox_risk, "medium")
DIKU_coordinates = address_to_house_data(
"Universitetsparken 1, 2100 København")["coordinates"]
DIKU_risk = get_storm_flod_response(DIKU_coordinates)["risk"]
self.assertEqual(DIKU_risk, "low")
def test_get_satelite_img(self):
data = address_to_house_data("Jarmers Pl. 2, 1551 København")
actual_image = get_satelite_img(data["coordinates"])
expected_image = Image.open(
path.join("tests", "test_images",
"get_img_map.png")).convert("RGB")
self.assertEqual(actual_image, expected_image)
def test_get_fasting_response_medium(self):
home_coordinates = address_to_house_data(
"Kjærmarken 103, 6771 gredstedbro")["coordinates"]
resp = get_fastning_response(home_coordinates)
self.assertEqual(resp["risk"], "low")
self.assertEqual(resp["value"], 44.75)
def test_bounding_box_espg_25832(self):
data = address_to_house_data("Kjærmarken 103, 6771 Gredstedbro")
box = bounding_box(data["coordinates"], ESPG="25832")
self.assertEqual(
box,
"483622.52053322777,6139451.855766358,483736.7176466355,6139564.964581124",
)
def test_bounding_box_espg_3857(self):
data = address_to_house_data("Jarmers Pl. 2, 1551 København")
box = bounding_box(data["coordinates"], boxSize=200, ESPG="3857")
self.assertEqual(
box,
"1398592.0975429227,7494769.030811637,1398792.0975429227,7494969.030811637",
)
def test_fastning_img_to_value(self):
office_address = address_to_house_data(
"Kjærmarken 103, 6771 gredstedbro")["coordinates"]
fastning_image = get_fastning_img(coordinates=office_address)
fastning_image_to_value(fastning_image)
self.assertEqual(fastning_image_to_value(fastning_image), 44.75)
def test_get_flood_img(self):
blox_coordinates = address_to_house_data(
"Bryghusgade, 1473 København")["coordinates"]
actual_image = get_storm_flood_img(blox_coordinates)
expected_image = Image.open(
path.join("tests", "test_images", "blox_storm_flood.png"))
self.assertEqual(actual_image, expected_image)
def test_get_rain_risk_response_1(self):
data = address_to_house_data("Kjærmarken 103, 6771 gredstedbro")
resp = get_rain_risk_response(data["id"], data["coordinates"])
self.assertEqual(resp["factors"]["basement"]["risk"], "low")
self.assertEqual(resp["factors"]["fastning"]["risk"], "low")
self.assertEqual(resp["factors"]["hollowing"]["risk"], "low")
self.assertEqual(resp["factors"]["conductivity"]["risk"], "low")
self.assertEqual(resp["risk"], "low")
def test_get_rain_risk_response_2(self):
data = address_to_house_data("Dronning Dagmars Vej 13, 6760 Ribe")
resp = get_rain_risk_response(data["id"], data["coordinates"])
self.assertEqual(resp["factors"]["basement"]["risk"], "high")
self.assertEqual(resp["factors"]["fastning"]["risk"], "medium")
self.assertEqual(resp["factors"]["hollowing"]["risk"], "high")
self.assertEqual(resp["factors"]["conductivity"]["risk"], "low")
self.assertEqual(resp["risk"], "high")
def test_get_img_hollowings(self):
office_address = address_to_house_data(
"Jarmers Pl. 2, 1551 København")["coordinates"]
actual_image = get_hollowing_img(office_address, "hollowings")
expected_image = Image.open(
path.join("tests", "test_images",
"get_img_hollowings.png")).convert("L")
self.assertEqual(actual_image, expected_image)
def test_get_conductivity_img(self):
office_address = address_to_house_data(
"Jarmers Pl. 2, 1551 København")["coordinates"]
actual_image = get_conductivity_img(coordinates=office_address)
expected_image = Image.open(
path.join("tests", "test_images",
"conductivity_img_office.png")).convert("RGB")
self.assertEqual(actual_image, expected_image)
def test_get_hollowing_response(self):
office_address = address_to_house_data(
"Jarmers Pl. 2, 1551 København")["coordinates"]
resp = get_hollowing_response(office_address)
actual_image = np.asarray(
Image.open(BytesIO(base64.b64decode(resp["image"]))))
expected_image = np.asarray(
Image.open(
path.join("tests", "test_images",
"jarmars_hollwing_response.png")).convert("RGB"))
self.assertTrue(np.allclose(actual_image, expected_image, atol=1))
resp.pop("image")
self.assertAlmostEqual(resp["house_percentage"], 0.19)
self.assertAlmostEqual(resp["area_percentage"], 6.83)
def test_get_fasting_response_high(self):
office_address = address_to_house_data(
"Jarmers Pl. 2, 1551 København")["coordinates"]
resp = get_fastning_response(office_address)
self.assertEqual(resp["value"], 51.53)
self.assertEqual(resp["risk"], "medium")
actual_image = np.asarray(
Image.open(BytesIO(base64.b64decode(resp["image"]))))
expected_image = np.asarray(
Image.open(
path.join("tests", "test_images",
"fastning_map_office.png")).convert("RGB"))
self.assertTrue(np.allclose(actual_image, expected_image, atol=1))
def test_has_basement(self):
no_basement_id = address_to_house_data(
"Kjærmarken 103, 6771 gredstedbro")["id"]
basement_id = address_to_house_data("Kiærsvej 2, 6760 Ribe")["id"]
self.assertEqual(get_basement_response(no_basement_id)["risk"], "low")
self.assertEqual(get_basement_response(basement_id)["risk"], "high")
def test_address_to_id_and_coordinates(self):
data = address_to_house_data("Jarmers Pl. 2, 1551 København")
self.assertEqual(data["coordinates"], (55.67946496, 12.56466489))
self.assertEqual(data["id"], "0a3f507a-9dcc-32b8-e044-0003ba298018")
self.assertEqual(data["isAppartment"], False)
self.assertEqual(data["navn"], "Jarmers Plads 2, 1551 København V")
def test_get_conductivity_response(self):
office_address = address_to_house_data(
"Jarmers Pl. 2, 1551 København")["coordinates"]
resp = get_conductivity_response(office_address)
self.assertEqual(resp["value"], 125)
self.assertEqual(resp["risk"], "high")
