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Add a fixed electricity prediction that supports prices per time window.
The time windows may flexible be defined by day or date.
The prediction documentation is updated to also cover the ElecPriceFixed
provider.
The feature includes several changes that are not directly related to the
electricity price prediction implementation but are necessary to keep
EOS running properly and to test and document the changes.
* feat: add value time windows
Add time windows with an associated float value.
* feat: harden eos measurements endpoints error detection and reporting
Cover more errors that may be raised during endpoint access. Report the
errors including trace information to ease debugging.
* feat: extend server configuration to cover all arguments
Make the argument controlled options also available in server configuration.
* fix: eos config configuration by cli arguments
Move the command line argument handling to config eos so that it is
excuted whenever eos config is rebuild or reset.
* chore: extend measurement endpoint system test
* chore: refactor time windows
Move time windows to configabc as they are only used in configurations.
Also move all tests to test_configabc.
* chore: provide config update errors in eosdash with summarized error text
If there is an update error provide the error text as a summary. On click
provide the full error text.
* chore: force eosdash ip address and port in makefile dev run
Ensure eosdash ip address and port are correctly set for development runs.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
142 lines
5.5 KiB
Python
142 lines
5.5 KiB
Python
import pytest
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from pydantic import ValidationError
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from akkudoktoreos.core.coreabc import get_prediction
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from akkudoktoreos.prediction.elecpriceakkudoktor import ElecPriceAkkudoktor
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from akkudoktoreos.prediction.elecpriceenergycharts import ElecPriceEnergyCharts
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from akkudoktoreos.prediction.elecpricefixed import ElecPriceFixed
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from akkudoktoreos.prediction.elecpriceimport import ElecPriceImport
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from akkudoktoreos.prediction.feedintarifffixed import FeedInTariffFixed
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from akkudoktoreos.prediction.feedintariffimport import FeedInTariffImport
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from akkudoktoreos.prediction.loadakkudoktor import (
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LoadAkkudoktor,
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LoadAkkudoktorAdjusted,
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)
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from akkudoktoreos.prediction.loadimport import LoadImport
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from akkudoktoreos.prediction.loadvrm import LoadVrm
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from akkudoktoreos.prediction.prediction import (
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Prediction,
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PredictionCommonSettings,
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)
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from akkudoktoreos.prediction.pvforecastakkudoktor import PVForecastAkkudoktor
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from akkudoktoreos.prediction.pvforecastimport import PVForecastImport
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from akkudoktoreos.prediction.pvforecastvrm import PVForecastVrm
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from akkudoktoreos.prediction.weatherbrightsky import WeatherBrightSky
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from akkudoktoreos.prediction.weatherclearoutside import WeatherClearOutside
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from akkudoktoreos.prediction.weatherimport import WeatherImport
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@pytest.fixture
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def prediction():
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"""All EOS predictions."""
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return get_prediction()
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@pytest.fixture
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def forecast_providers():
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"""Fixture for singleton forecast provider instances."""
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return [
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ElecPriceAkkudoktor(),
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ElecPriceEnergyCharts(),
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ElecPriceFixed(),
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ElecPriceImport(),
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FeedInTariffFixed(),
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FeedInTariffImport(),
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LoadAkkudoktor(),
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LoadAkkudoktorAdjusted(),
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LoadVrm(),
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LoadImport(),
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PVForecastAkkudoktor(),
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PVForecastVrm(),
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PVForecastImport(),
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WeatherBrightSky(),
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WeatherClearOutside(),
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WeatherImport(),
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]
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@pytest.mark.parametrize(
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"field_name, invalid_value, expected_error",
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[
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("hours", -1, "Input should be greater than or equal to 0"),
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("historic_hours", -5, "Input should be greater than or equal to 0"),
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],
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)
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def test_prediction_common_settings_invalid(field_name, invalid_value, expected_error, config_eos):
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"""Test invalid settings for PredictionCommonSettings."""
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valid_data = {
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"hours": 48,
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"historic_hours": 24,
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}
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assert PredictionCommonSettings(**valid_data) is not None
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valid_data[field_name] = invalid_value
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with pytest.raises(ValidationError, match=expected_error):
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PredictionCommonSettings(**valid_data)
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def test_initialization(prediction, forecast_providers):
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"""Test that Prediction is initialized with the correct providers in sequence."""
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assert isinstance(prediction, Prediction)
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for idx, provider in enumerate(prediction.providers):
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assert provider.provider_id() == forecast_providers[idx].provider_id()
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def test_provider_sequence(prediction):
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"""Test the provider sequence is maintained in the Prediction instance."""
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assert isinstance(prediction.providers[0], ElecPriceAkkudoktor)
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assert isinstance(prediction.providers[1], ElecPriceEnergyCharts)
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assert isinstance(prediction.providers[2], ElecPriceFixed)
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assert isinstance(prediction.providers[3], ElecPriceImport)
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assert isinstance(prediction.providers[4], FeedInTariffFixed)
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assert isinstance(prediction.providers[5], FeedInTariffImport)
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assert isinstance(prediction.providers[6], LoadAkkudoktor)
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assert isinstance(prediction.providers[7], LoadAkkudoktorAdjusted)
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assert isinstance(prediction.providers[8], LoadVrm)
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assert isinstance(prediction.providers[9], LoadImport)
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assert isinstance(prediction.providers[10], PVForecastAkkudoktor)
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assert isinstance(prediction.providers[11], PVForecastVrm)
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assert isinstance(prediction.providers[12], PVForecastImport)
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assert isinstance(prediction.providers[13], WeatherBrightSky)
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assert isinstance(prediction.providers[14], WeatherClearOutside)
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assert isinstance(prediction.providers[15], WeatherImport)
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def test_provider_by_id(prediction, forecast_providers):
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"""Test that provider_by_id method returns the correct provider."""
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for provider in forecast_providers:
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assert prediction.provider_by_id(provider.provider_id()).provider_id() == provider.provider_id()
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def test_prediction_repr(prediction):
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"""Test that the Prediction instance's representation is correct."""
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result = repr(prediction)
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assert "Prediction([" in result
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assert "ElecPriceAkkudoktor" in result
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assert "ElecPriceEnergyCharts" in result
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assert "ElecPriceFixed" in result
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assert "ElecPriceImport" in result
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assert "FeedInTariffFixed" in result
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assert "FeedInTariffImport" in result
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assert "LoadAkkudoktor" in result
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assert "LoadVrm" in result
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assert "LoadImport" in result
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assert "PVForecastAkkudoktor" in result
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assert "PVForecastVrm" in result
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assert "PVForecastImport" in result
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assert "WeatherBrightSky" in result
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assert "WeatherClearOutside" in result
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assert "WeatherImport" in result
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def test_empty_providers(prediction, forecast_providers):
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"""Test behavior when Prediction does not have providers."""
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# Clear all prediction providers from prediction
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providers_bkup = prediction.providers.copy()
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prediction.providers.clear()
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assert prediction.providers == []
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prediction.update_data() # Should not raise an error even with no providers
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# Cleanup after Test
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prediction.providers = providers_bkup
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