EOS/tests/test_prediction.py
Bobby Noelte 31bd2de18b Fix config and prediction revamp. (#259)
Extend single_test_optimization.py to be able to use real world data from new prediction classes.
- .venv/bin/python single_test_optimization.py --real_world --verbose
Can also be run with profiling "--profile".

Add single_test_prediction.py to fetch predictions from remote prediction providers
- .venv/bin/python single_test_prediction.py --verbose --provider-id PVForecastAkkudoktor | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id LoadAkkudoktor | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id ElecPriceAkkudoktor | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id BrightSky | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id ClearOutside | more
Can also be run with profiling "--profile".

single_test_optimization.py is an example on how to retrieve prediction data for optimization and
use it to set up the optimization parameters.

Changes:
- load: Only one load provider at a time (vs. 5 before)

Bug fixes:
- prediction: only use providers that are enabled to retrieve or set data.
- prediction: fix pre pendulum format strings
- dataabc: Prevent error when resampling data with no datasets.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-16 20:26:08 +01:00

190 lines
7.0 KiB
Python

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