mirror of
https://github.com/Akkudoktor-EOS/EOS.git
synced 2025-04-19 08:55:15 +00:00
* Add EOS_CONFIG_DIR to set config dir (relative path to EOS_DIR or absolute path). - config_folder_path read-only - config_file_path read-only * Default values to support app start with empty config: - latitude/longitude (Berlin) - optimization_ev_available_charge_rates_percent (null, so model default value is used) - Enable Akkudoktor electricity price forecast (docker-compose). * Fix some endpoints (empty data, remove unused params, fix types). * cacheutil: Use cache dir. Closes #240 * Support EOS_LOGGING_LEVEL environment variable to set log level. * tests: All tests use separate temporary config - Add pytest switch --check-config-side-effect to check user config file existence after each test. Will also fail if user config existed before test execution (but will only check after the test has run). Enable flag in github workflow. - Globally mock platformdirs in config module. Now no longer required to patch individually. Function calls to config instance (e.g. merge_settings_from_dict) were unaffected previously. * Set Berlin as default location (default config/docker-compose).
188 lines
7.0 KiB
Python
188 lines
7.0 KiB
Python
import pytest
|
|
from pydantic import ValidationError
|
|
|
|
from akkudoktoreos.prediction.elecpriceakkudoktor import ElecPriceAkkudoktor
|
|
from akkudoktoreos.prediction.elecpriceimport import ElecPriceImport
|
|
from akkudoktoreos.prediction.loadakkudoktor import LoadAkkudoktor
|
|
from akkudoktoreos.prediction.loadimport import LoadImport
|
|
from akkudoktoreos.prediction.prediction import (
|
|
Prediction,
|
|
PredictionCommonSettings,
|
|
get_prediction,
|
|
)
|
|
from akkudoktoreos.prediction.pvforecastakkudoktor import PVForecastAkkudoktor
|
|
from akkudoktoreos.prediction.pvforecastimport import PVForecastImport
|
|
from akkudoktoreos.prediction.weatherbrightsky import WeatherBrightSky
|
|
from akkudoktoreos.prediction.weatherclearoutside import WeatherClearOutside
|
|
from akkudoktoreos.prediction.weatherimport import WeatherImport
|
|
|
|
|
|
@pytest.fixture
|
|
def sample_settings(config_eos):
|
|
"""Fixture that adds settings data to the global config."""
|
|
settings = {
|
|
"prediction_hours": 48,
|
|
"prediction_historic_hours": 24,
|
|
"latitude": 52.52,
|
|
"longitude": 13.405,
|
|
"weather_provider": None,
|
|
"pvforecast_provider": None,
|
|
"load_provider": None,
|
|
"elecprice_provider": None,
|
|
}
|
|
|
|
# Merge settings to config
|
|
config_eos.merge_settings_from_dict(settings)
|
|
return config_eos
|
|
|
|
|
|
@pytest.fixture
|
|
def prediction():
|
|
"""All EOS predictions."""
|
|
return get_prediction()
|
|
|
|
|
|
@pytest.fixture
|
|
def forecast_providers():
|
|
"""Fixture for singleton forecast provider instances."""
|
|
return [
|
|
ElecPriceAkkudoktor(),
|
|
ElecPriceImport(),
|
|
LoadAkkudoktor(),
|
|
LoadImport(),
|
|
PVForecastAkkudoktor(),
|
|
PVForecastImport(),
|
|
WeatherBrightSky(),
|
|
WeatherClearOutside(),
|
|
WeatherImport(),
|
|
]
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"prediction_hours, prediction_historic_hours, latitude, longitude, expected_timezone",
|
|
[
|
|
(48, 24, 40.7128, -74.0060, "America/New_York"), # Valid latitude/longitude
|
|
(0, 0, None, None, None), # No location
|
|
(100, 50, 51.5074, -0.1278, "Europe/London"), # Another valid location
|
|
],
|
|
)
|
|
def test_prediction_common_settings_valid(
|
|
prediction_hours, prediction_historic_hours, latitude, longitude, expected_timezone
|
|
):
|
|
"""Test valid settings for PredictionCommonSettings."""
|
|
settings = PredictionCommonSettings(
|
|
prediction_hours=prediction_hours,
|
|
prediction_historic_hours=prediction_historic_hours,
|
|
latitude=latitude,
|
|
longitude=longitude,
|
|
)
|
|
assert settings.prediction_hours == prediction_hours
|
|
assert settings.prediction_historic_hours == prediction_historic_hours
|
|
assert settings.latitude == latitude
|
|
assert settings.longitude == longitude
|
|
assert settings.timezone == expected_timezone
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"field_name, invalid_value, expected_error",
|
|
[
|
|
("prediction_hours", -1, "Input should be greater than or equal to 0"),
|
|
("prediction_historic_hours", -5, "Input should be greater than or equal to 0"),
|
|
("latitude", -91.0, "Input should be greater than or equal to -90"),
|
|
("latitude", 91.0, "Input should be less than or equal to 90"),
|
|
("longitude", -181.0, "Input should be greater than or equal to -180"),
|
|
("longitude", 181.0, "Input should be less than or equal to 180"),
|
|
],
|
|
)
|
|
def test_prediction_common_settings_invalid(field_name, invalid_value, expected_error):
|
|
"""Test invalid settings for PredictionCommonSettings."""
|
|
valid_data = {
|
|
"prediction_hours": 48,
|
|
"prediction_historic_hours": 24,
|
|
"latitude": 40.7128,
|
|
"longitude": -74.0060,
|
|
}
|
|
valid_data[field_name] = invalid_value
|
|
|
|
with pytest.raises(ValidationError, match=expected_error):
|
|
PredictionCommonSettings(**valid_data)
|
|
|
|
|
|
def test_prediction_common_settings_no_location():
|
|
"""Test that timezone is None when latitude and longitude are not provided."""
|
|
settings = PredictionCommonSettings(
|
|
prediction_hours=48, prediction_historic_hours=24, latitude=None, longitude=None
|
|
)
|
|
assert settings.timezone is None
|
|
|
|
|
|
def test_prediction_common_settings_with_location():
|
|
"""Test that timezone is correctly computed when latitude and longitude are provided."""
|
|
settings = PredictionCommonSettings(
|
|
prediction_hours=48, prediction_historic_hours=24, latitude=34.0522, longitude=-118.2437
|
|
)
|
|
assert settings.timezone == "America/Los_Angeles"
|
|
|
|
|
|
def test_prediction_common_settings_timezone_none_when_coordinates_missing():
|
|
"""Test that timezone is None when latitude or longitude is missing."""
|
|
config_no_latitude = PredictionCommonSettings(longitude=-74.0060)
|
|
config_no_longitude = PredictionCommonSettings(latitude=40.7128)
|
|
config_no_coords = PredictionCommonSettings()
|
|
|
|
assert config_no_latitude.timezone is None
|
|
assert config_no_longitude.timezone is None
|
|
assert config_no_coords.timezone is None
|
|
|
|
|
|
def test_initialization(prediction, forecast_providers):
|
|
"""Test that Prediction is initialized with the correct providers in sequence."""
|
|
assert isinstance(prediction, Prediction)
|
|
assert prediction.providers == forecast_providers
|
|
|
|
|
|
def test_provider_sequence(prediction):
|
|
"""Test the provider sequence is maintained in the Prediction instance."""
|
|
assert isinstance(prediction.providers[0], ElecPriceAkkudoktor)
|
|
assert isinstance(prediction.providers[1], ElecPriceImport)
|
|
assert isinstance(prediction.providers[2], LoadAkkudoktor)
|
|
assert isinstance(prediction.providers[3], LoadImport)
|
|
assert isinstance(prediction.providers[4], PVForecastAkkudoktor)
|
|
assert isinstance(prediction.providers[5], PVForecastImport)
|
|
assert isinstance(prediction.providers[6], WeatherBrightSky)
|
|
assert isinstance(prediction.providers[7], WeatherClearOutside)
|
|
assert isinstance(prediction.providers[8], WeatherImport)
|
|
|
|
|
|
def test_provider_by_id(prediction, forecast_providers):
|
|
"""Test that provider_by_id method returns the correct provider."""
|
|
for provider in forecast_providers:
|
|
assert prediction.provider_by_id(provider.provider_id()) == provider
|
|
|
|
|
|
def test_prediction_repr(prediction):
|
|
"""Test that the Prediction instance's representation is correct."""
|
|
result = repr(prediction)
|
|
assert "Prediction([" in result
|
|
assert "ElecPriceAkkudoktor" in result
|
|
assert "ElecPriceImport" in result
|
|
assert "LoadAkkudoktor" in result
|
|
assert "LoadImport" in result
|
|
assert "PVForecastAkkudoktor" in result
|
|
assert "PVForecastImport" in result
|
|
assert "WeatherBrightSky" in result
|
|
assert "WeatherClearOutside" in result
|
|
assert "WeatherImport" in result
|
|
|
|
|
|
def test_empty_providers(prediction, forecast_providers):
|
|
"""Test behavior when Prediction does not have providers."""
|
|
# Clear all prediction providers from prediction
|
|
providers_bkup = prediction.providers.copy()
|
|
prediction.providers.clear()
|
|
assert prediction.providers == []
|
|
prediction.update_data() # Should not raise an error even with no providers
|
|
|
|
# Cleanup after Test
|
|
prediction.providers = providers_bkup
|