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|
import datetime
import geojson
import pytest
import tests.reference_data.reference_data_test_forecast as reference_data_test_forecast
from datapoint import Forecast
from datapoint.exceptions import APIException
# TODO look into pytest-cases. Should reduce the amount of stored data structures
@pytest.fixture
def load_hourly_json():
with open("./tests/reference_data/hourly_api_data.json") as f:
my_json = geojson.load(f)
return my_json
@pytest.fixture
def load_daily_json():
with open("./tests/reference_data/daily_api_data.json") as f:
my_json = geojson.load(f)
return my_json
@pytest.fixture
def load_three_hourly_json():
with open("./tests/reference_data/three_hourly_api_data.json") as f:
my_json = geojson.load(f)
return my_json
@pytest.fixture
def daily_forecast(load_daily_json):
return Forecast.Forecast("daily", load_daily_json, convert_weather_code=True)
@pytest.fixture
def daily_forecast_raw_weather_code(load_daily_json):
return Forecast.Forecast("daily", load_daily_json, convert_weather_code=False)
@pytest.fixture
def twice_daily_forecast(load_daily_json):
return Forecast.Forecast("twice-daily", load_daily_json, convert_weather_code=True)
@pytest.fixture
def twice_daily_forecast_raw_weather_code(load_daily_json):
return Forecast.Forecast("twice-daily", load_daily_json, convert_weather_code=False)
@pytest.fixture
def hourly_forecast(load_hourly_json):
return Forecast.Forecast("hourly", load_hourly_json, convert_weather_code=True)
@pytest.fixture
def hourly_forecast_raw_weather_code(load_hourly_json):
return Forecast.Forecast("hourly", load_hourly_json, convert_weather_code=False)
@pytest.fixture
def three_hourly_forecast(load_three_hourly_json):
return Forecast.Forecast(
"three-hourly", load_three_hourly_json, convert_weather_code=True
)
@pytest.fixture
def hourly_first_forecast_and_parameters(load_hourly_json):
parameters = load_hourly_json["parameters"][0]
forecast = load_hourly_json["features"][0]["properties"]["timeSeries"][0]
return (forecast, parameters)
@pytest.fixture
def three_hourly_first_forecast_and_parameters(load_three_hourly_json):
parameters = load_three_hourly_json["parameters"][0]
forecast = load_three_hourly_json["features"][0]["properties"]["timeSeries"][0]
return (forecast, parameters)
@pytest.fixture
def expected_first_hourly_timestep():
return reference_data_test_forecast.EXPECTED_FIRST_HOURLY_TIMESTEP
@pytest.fixture
def expected_first_hourly_timestep_raw_weather_code():
return reference_data_test_forecast.EXPECTED_FIRST_HOURLY_TIMESTEP_RAW_WEATHER_CODE
@pytest.fixture
def expected_at_datetime_hourly_timestep():
return reference_data_test_forecast.EXPECTED_AT_DATETIME_HOURLY_TIMESTEP
@pytest.fixture
def expected_at_datetime_hourly_final_timestep():
return reference_data_test_forecast.EXPECTED_AT_DATETIME_HOURLY_FINAL_TIMESTEP
@pytest.fixture
def expected_first_daily_timestep():
return reference_data_test_forecast.EXPECTED_FIRST_DAILY_TIMESTEP
@pytest.fixture
def expected_first_daily_timestep_raw_weather_code():
return reference_data_test_forecast.EXPECTED_FIRST_DAILY_TIMESTEP_RAW_WEATHER_CODE
@pytest.fixture
def expected_at_datetime_daily_timestep():
return reference_data_test_forecast.EXPECTED_AT_DATETIME_DAILY_TIMESTEP
@pytest.fixture
def expected_at_datetime_daily_final_timestep():
return reference_data_test_forecast.EXPECTED_AT_DATETIME_DAILY_FINAL_TIMESTEP
@pytest.fixture
def expected_first_twice_daily_timestep():
return reference_data_test_forecast.EXPECTED_FIRST_TWICE_DAILY_TIMESTEP
@pytest.fixture
def expected_first_twice_daily_timestep_raw_weather_code():
return (
reference_data_test_forecast.EXPECTED_FIRST_TWICE_DAILY_TIMESTEP_RAW_WEATHER_CODE
)
@pytest.fixture
def expected_at_datetime_twice_daily_timestep():
return reference_data_test_forecast.EXPECTED_AT_DATETIME_TWICE_DAILY_TIMESTEP
@pytest.fixture
def expected_at_datetime_twice_daily_final_timestep():
return reference_data_test_forecast.EXPECTED_AT_DATETIME_TWICE_DAILY_FINAL_TIMESTEP
@pytest.fixture
def expected_first_three_hourly_timestep():
return reference_data_test_forecast.EXPECTED_FIRST_THREE_HOURLY_TIMESTEP
@pytest.fixture
def expected_at_datetime_three_hourly_timestep():
return reference_data_test_forecast.EXPECTED_AT_DATETIME_THREE_HOURLY_TIMESTEP
@pytest.fixture
def expected_at_datetime_three_hourly_final_timestep():
return reference_data_test_forecast.EXPECTED_AT_DATETIME_THREE_HOURLY_FINAL_TIMESTEP
class TestHourlyForecast:
def test_forecast_frequency(self, hourly_forecast):
assert hourly_forecast.frequency == "hourly"
def test_forecast_location_name(self, hourly_forecast):
assert hourly_forecast.name == "Sheffield Park"
def test_forecast_location_latitude(self, hourly_forecast):
assert hourly_forecast.forecast_latitude == 50.9992
def test_forecast_location_longitude(self, hourly_forecast):
assert hourly_forecast.forecast_longitude == 0.0154
def test_forecast_distance_from_request(self, hourly_forecast):
assert hourly_forecast.distance_from_requested_location == 1081.5349
def test_forecast_elevation(self, hourly_forecast):
assert hourly_forecast.elevation == 37.0
def test_forecast_first_timestep(
self, hourly_forecast, expected_first_hourly_timestep
):
assert hourly_forecast.timesteps[0] == expected_first_hourly_timestep
def test_build_timestep(
self,
hourly_forecast,
hourly_first_forecast_and_parameters,
expected_first_hourly_timestep,
):
built_timestep = hourly_forecast._build_timestep(
hourly_first_forecast_and_parameters[0],
hourly_first_forecast_and_parameters[1],
)
assert built_timestep == expected_first_hourly_timestep
def test_at_datetime(self, hourly_forecast, expected_at_datetime_hourly_timestep):
ts = hourly_forecast.at_datetime(datetime.datetime(2024, 2, 16, 19, 15))
assert ts == expected_at_datetime_hourly_timestep
def test_at_datetime_final_timestamp(
self, hourly_forecast, expected_at_datetime_hourly_final_timestep
):
ts = hourly_forecast.at_datetime(datetime.datetime(2024, 2, 17, 19, 20))
assert ts == expected_at_datetime_hourly_final_timestep
def test_requested_time_too_early(self, hourly_forecast):
with pytest.raises(APIException):
hourly_forecast.at_datetime(datetime.datetime(2024, 2, 15, 18, 25))
def test_requested_time_too_late(self, hourly_forecast):
with pytest.raises(APIException):
hourly_forecast.at_datetime(datetime.datetime(2024, 2, 17, 19, 35))
def test_forecast_first_timestep_raw_weather_code(
self,
hourly_forecast_raw_weather_code,
expected_first_hourly_timestep_raw_weather_code,
):
assert (
hourly_forecast_raw_weather_code.timesteps[0]
== expected_first_hourly_timestep_raw_weather_code
)
class TestDailyForecast:
def test_forecast_frequency(self, daily_forecast):
assert daily_forecast.frequency == "daily"
def test_forecast_location_name(self, daily_forecast):
assert daily_forecast.name == "Sheffield Park"
def test_forecast_location_latitude(self, daily_forecast):
assert daily_forecast.forecast_latitude == 50.9992
def test_forecast_location_longitude(self, daily_forecast):
assert daily_forecast.forecast_longitude == 0.0154
def test_forecast_distance_from_request(self, daily_forecast):
assert daily_forecast.distance_from_requested_location == 1081.5349
def test_forecast_elevation(self, daily_forecast):
assert daily_forecast.elevation == 37.0
def test_forecast_first_timestep(
self, daily_forecast, expected_first_daily_timestep
):
assert daily_forecast.timesteps[0] == expected_first_daily_timestep
# Need a new test_build_timestep function here
def test_build_timesteps(
self, daily_forecast, load_daily_json, expected_first_daily_timestep
):
timestep = daily_forecast._build_timestep(
load_daily_json["features"][0]["properties"]["timeSeries"][0],
load_daily_json["parameters"][0],
)
assert timestep == expected_first_daily_timestep
def test_at_datetime(self, daily_forecast, expected_at_datetime_daily_timestep):
ts = daily_forecast.at_datetime(datetime.datetime(2024, 2, 16, 19, 15))
assert ts == expected_at_datetime_daily_timestep
def test_at_datetime_final_timestamp(
self, daily_forecast, expected_at_datetime_daily_final_timestep
):
ts = daily_forecast.at_datetime(datetime.datetime(2024, 2, 17, 17))
assert ts == expected_at_datetime_daily_final_timestep
def test_requested_time_too_early(self, daily_forecast):
with pytest.raises(APIException):
daily_forecast.at_datetime(datetime.datetime(2024, 2, 15, 17))
def test_requested_time_too_late(self, daily_forecast):
with pytest.raises(APIException):
daily_forecast.at_datetime(datetime.datetime(2024, 2, 23, 19))
def test_forecast_first_timestep_raw_weather_code(
self,
daily_forecast_raw_weather_code,
expected_first_daily_timestep_raw_weather_code,
):
assert (
daily_forecast_raw_weather_code.timesteps[0]
== expected_first_daily_timestep_raw_weather_code
)
class TestTwiceDailyForecast:
def test_forecast_frequency(self, twice_daily_forecast):
assert twice_daily_forecast.frequency == "twice-daily"
def test_forecast_location_name(self, twice_daily_forecast):
assert twice_daily_forecast.name == "Sheffield Park"
def test_forecast_location_latitude(self, twice_daily_forecast):
assert twice_daily_forecast.forecast_latitude == 50.9992
def test_forecast_location_longitude(self, twice_daily_forecast):
assert twice_daily_forecast.forecast_longitude == 0.0154
def test_forecast_distance_from_request(self, twice_daily_forecast):
assert twice_daily_forecast.distance_from_requested_location == 1081.5349
def test_forecast_elevation(self, twice_daily_forecast):
assert twice_daily_forecast.elevation == 37.0
def test_forecast_first_timestep(
self, twice_daily_forecast, expected_first_twice_daily_timestep
):
assert twice_daily_forecast.timesteps[0] == expected_first_twice_daily_timestep
# twice-daily forecasts take daily data from DataHub
def test_build_twice_daily_timesteps(
self, twice_daily_forecast, load_daily_json, expected_first_twice_daily_timestep
):
timesteps = twice_daily_forecast._build_twice_daily_timesteps(
load_daily_json["features"][0]["properties"]["timeSeries"],
load_daily_json["parameters"][0],
)
assert timesteps[0] == expected_first_twice_daily_timestep
def test_at_datetime(
self, twice_daily_forecast, expected_at_datetime_twice_daily_timestep
):
ts = twice_daily_forecast.at_datetime(datetime.datetime(2024, 2, 16, 19, 15))
assert ts == expected_at_datetime_twice_daily_timestep
def test_at_datetime_final_timestep(
self, twice_daily_forecast, expected_at_datetime_twice_daily_final_timestep
):
ts = twice_daily_forecast.at_datetime(datetime.datetime(2024, 2, 17, 17))
assert ts == expected_at_datetime_twice_daily_final_timestep
def test_requested_time_too_early(self, twice_daily_forecast):
with pytest.raises(APIException):
twice_daily_forecast.at_datetime(datetime.datetime(2024, 2, 15, 17))
def test_requested_time_too_late(self, twice_daily_forecast):
with pytest.raises(APIException):
twice_daily_forecast.at_datetime(datetime.datetime(2024, 2, 23, 19))
def test_forecast_first_timestep_raw_weather_code(
self,
twice_daily_forecast_raw_weather_code,
expected_first_twice_daily_timestep_raw_weather_code,
):
print(twice_daily_forecast_raw_weather_code.timesteps[0])
assert (
twice_daily_forecast_raw_weather_code.timesteps[0]
== expected_first_twice_daily_timestep_raw_weather_code
)
class TestThreeHourlyForecast:
def test_forecast_frequency(self, three_hourly_forecast):
assert three_hourly_forecast.frequency == "three-hourly"
def test_forecast_location_name(self, three_hourly_forecast):
assert three_hourly_forecast.name == "Sheffield Park"
def test_forecast_location_latitude(self, three_hourly_forecast):
assert three_hourly_forecast.forecast_latitude == 50.9992
def test_forecast_location_longitude(self, three_hourly_forecast):
assert three_hourly_forecast.forecast_longitude == 0.0154
def test_forecast_distance_from_request(self, three_hourly_forecast):
assert three_hourly_forecast.distance_from_requested_location == 1081.5349
def test_forecast_elevation(self, three_hourly_forecast):
assert three_hourly_forecast.elevation == 37.0
def test_forecast_first_timestep(
self, three_hourly_forecast, expected_first_three_hourly_timestep
):
assert (
three_hourly_forecast.timesteps[0] == expected_first_three_hourly_timestep
)
def test_build_timestep(
self,
three_hourly_forecast,
three_hourly_first_forecast_and_parameters,
expected_first_three_hourly_timestep,
):
built_timestep = three_hourly_forecast._build_timestep(
three_hourly_first_forecast_and_parameters[0],
three_hourly_first_forecast_and_parameters[1],
)
assert built_timestep == expected_first_three_hourly_timestep
def test_at_datetime(
self, three_hourly_forecast, expected_at_datetime_three_hourly_timestep
):
ts = three_hourly_forecast.at_datetime(datetime.datetime(2024, 2, 22, 19, 15))
assert ts == expected_at_datetime_three_hourly_timestep
def test_at_datetime_final_timestamp(
self, three_hourly_forecast, expected_at_datetime_three_hourly_final_timestep
):
ts = three_hourly_forecast.at_datetime(datetime.datetime(2024, 2, 24, 16))
assert ts == expected_at_datetime_three_hourly_final_timestep
def test_requested_time_too_early(self, three_hourly_forecast):
with pytest.raises(APIException):
three_hourly_forecast.at_datetime(datetime.datetime(2024, 2, 17, 13, 20))
def test_requested_time_too_late(self, three_hourly_forecast):
with pytest.raises(APIException):
three_hourly_forecast.at_datetime(datetime.datetime(2024, 2, 24, 17))
|
