import pytest from pydantic import ValidationError from akkudoktoreos.config.config import get_config 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(reset_config): """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 = get_config() config.merge_settings_from_dict(settings) return config @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