from fixtures.fixtures import * good_data = [ [ { "created_at": "2024-01-01 12:03:03", "pick_at": "2024-01-10 09:00:00", "from_lat": 55.751, "from_lon": 37.618, "to_lat": 52.139, "to_lon": 104.21, "weight": 20000, "volume": 82 }, { "created_at": "2024-01-01 12:03:03", "pick_at": "2024-01-10 09:00:00", "from_lat": 55.751, "from_lon": 37.618, "to_lat": 52.139, "to_lon": 104.21, "weight": 20000, "volume": 82, "car_type_id": 1 } ] ] @pytest.mark.usefixtures("dataset") @pytest.mark.parametrize("data", good_data) def test_dataset_good(dataset, data): dataset.create(data) for X in dataset: assert X.shape == (14,) bad_data = [ { "created_at": "1989-01-01 12:03:03", "pick_at": "2024-01-10 09:00:00", "from_lat": 55.751, "from_lon": 37.618, "to_lat": 52.139, "to_lon": 104.21, "weight": 20000, "volume": 82 }, { "created_at": "2024-01-01 12:03:03", "pick_at": "2024-01-10 09:00:00", "from_lat": 55.751, "from_lon": 37.618, "to_lat": 52.139, "to_lon": 104.21, "weight": 20000, "volume": 82, "car_type_id": 3 }, { "created_at": "2024-01-01 12:03:03", "pick_at": "2024-01-10 09:00:00", "from_lat": 55.751, "from_lon": 37.618, "to_lat": 52.139, "to_lon": 104.21, "weight": 20000, }, { "created_at": "2024-01-01 12:03:03", "pick_at": "2024-01-10", "from_lat": 55.751, "from_lon": 37.618, "to_lat": 52.139, "to_lon": 104.21, "weight": 20000, "volume": 82 }, { "created_at": "2024-01-01 12:03:03", "pick_at": "2024-01-10 09:00:00", "from_lat": 55.751, "from_lon": 37.618, "to_lat": 52.139, "to_lon": -3.1, "weight": 20000, "volume": 82 }, { "created_at": "2024-01-01 12:03:03", "pick_at": "2024-01-10 09:00:00", "from_lat": 55.751, "from_lon": 7.618, "to_lat": 52.139, "to_lon": 104.21, "weight": 20000, "volume": 82 }, ] @pytest.mark.usefixtures("dataset") @pytest.mark.parametrize("data_elem", bad_data) def test_dataset_bad(dataset, data_elem): with pytest.raises(ValueError): dataset.create([data_elem])