mirror of
https://github.com/jdejaegh/python-irceline.git
synced 2025-06-27 03:35:56 +02:00
42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
from datetime import datetime, date
|
|
|
|
from aiohttp import ClientSession
|
|
from freezegun import freeze_time
|
|
|
|
from src.open_irceline.api import IrcelineClient
|
|
from src.open_irceline.data import RioFeature, FeatureValue
|
|
from tests.conftest import get_api_data
|
|
|
|
|
|
@freeze_time(datetime.fromisoformat("2024-06-15T16:55:03.419Z"))
|
|
async def test_format_result_hmean():
|
|
data = get_api_data('rio_wfs.json')
|
|
result = IrcelineClient.format_result('rio', data, [RioFeature.NO2_HMEAN, RioFeature.O3_HMEAN])
|
|
|
|
expected = {
|
|
str(RioFeature.O3_HMEAN): FeatureValue(
|
|
timestamp=datetime.fromisoformat("2024-06-15T16:00:00Z"),
|
|
value=71
|
|
),
|
|
str(RioFeature.NO2_HMEAN): FeatureValue(
|
|
timestamp=datetime.fromisoformat("2024-06-15T16:00:00Z"),
|
|
value=4
|
|
)
|
|
}
|
|
|
|
assert result == expected
|
|
|
|
|
|
@freeze_time(datetime.fromisoformat("2024-06-15T19:30:09.581Z"))
|
|
async def test_format_result_dmean():
|
|
data = get_api_data('rio_wfs_dmean.json')
|
|
result = IrcelineClient.format_result('rio', data,
|
|
[RioFeature.BC_DMEAN, RioFeature.PM10_DMEAN, RioFeature.PM25_DMEAN])
|
|
|
|
expected = {
|
|
str(RioFeature.BC_DMEAN): FeatureValue(timestamp=date(2024, 6, 15), value=0.1),
|
|
str(RioFeature.PM10_DMEAN): FeatureValue(timestamp=date(2024, 6, 15), value=5.9),
|
|
str(RioFeature.PM25_DMEAN): FeatureValue(timestamp=date(2024, 6, 15), value=1.1),
|
|
}
|
|
|
|
assert result == expected
|