108 lines
2.6 KiB
Python
108 lines
2.6 KiB
Python
from fixtures.fixtures import *
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good_data = [
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[
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{
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"created_at": "2024-01-01 12:03:03",
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"pick_at": "2024-01-10 09:00:00",
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"from_lat": 55.751,
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"from_lon": 37.618,
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"to_lat": 52.139,
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"to_lon": 104.21,
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"weight": 20000,
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"volume": 82
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},
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{
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"created_at": "2024-01-01 12:03:03",
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"pick_at": "2024-01-10 09:00:00",
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"from_lat": 55.751,
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"from_lon": 37.618,
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"to_lat": 52.139,
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"to_lon": 104.21,
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"weight": 20000,
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"volume": 82,
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"car_type_id": 1
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}
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]
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]
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@pytest.mark.usefixtures("dataset")
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@pytest.mark.parametrize("data", good_data)
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def test_dataset_good(dataset, data):
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dataset.create(data)
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for X in dataset:
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assert X.shape == (13,)
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bad_data = [
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{
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"created_at": "1989-01-01 12:03:03",
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"pick_at": "2024-01-10 09:00:00",
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"from_lat": 55.751,
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"from_lon": 37.618,
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"to_lat": 52.139,
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"to_lon": 104.21,
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"weight": 20000,
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"volume": 82
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},
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{
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"created_at": "2024-01-01 12:03:03",
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"pick_at": "2024-01-10 09:00:00",
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"from_lat": 55.751,
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"from_lon": 37.618,
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"to_lat": 52.139,
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"to_lon": 104.21,
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"weight": 20000,
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"volume": 82,
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"car_type_id": 3
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},
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{
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"created_at": "2024-01-01 12:03:03",
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"pick_at": "2024-01-10 09:00:00",
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"from_lat": 55.751,
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"from_lon": 37.618,
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"to_lat": 52.139,
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"to_lon": 104.21,
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"weight": 20000,
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},
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{
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"created_at": "2024-01-01 12:03:03",
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"pick_at": "2024-01-10",
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"from_lat": 55.751,
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"from_lon": 37.618,
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"to_lat": 52.139,
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"to_lon": 104.21,
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"weight": 20000,
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"volume": 82
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},
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{
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"created_at": "2024-01-01 12:03:03",
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"pick_at": "2024-01-10 09:00:00",
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"from_lat": 55.751,
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"from_lon": 37.618,
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"to_lat": 52.139,
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"to_lon": -3.1,
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"weight": 20000,
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"volume": 82
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},
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{
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"created_at": "2024-01-01 12:03:03",
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"pick_at": "2024-01-10 09:00:00",
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"from_lat": 55.751,
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"from_lon": 7.618,
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"to_lat": 52.139,
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"to_lon": 104.21,
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"weight": 20000,
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"volume": 82
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},
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]
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@pytest.mark.usefixtures("dataset")
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@pytest.mark.parametrize("data_elem", bad_data)
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def test_dataset_bad(dataset, data_elem):
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with pytest.raises(ValueError):
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dataset.create([data_elem])
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