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test(integration): verify tariff protection with mapped device physics

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Andreas
2026-09-16 18:17:39 +02:00
parent 05ec3477e4
commit 174e92141b
1 changed files with 2 additions and 3 deletions
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tests/test_geneticparams_feedin.py
+2 -3
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@@ -11,9 +11,8 @@ import numpy as np
import pandas as pd import pandas as pd
import pytest import pytest
from akkudoktoreos.devices.genetic.inverter import Inverter from akkudoktoreos.devices.genetic.inverter import Inverter, InverterParameters
from akkudoktoreos.optimization.genetic.genetic import GeneticSimulation from akkudoktoreos.optimization.genetic.genetic import GeneticSimulation
from akkudoktoreos.optimization.genetic.geneticdevices import InverterParameters
from akkudoktoreos.optimization.genetic.geneticparams import GeneticOptimizationParameters from akkudoktoreos.optimization.genetic.geneticparams import GeneticOptimizationParameters
from akkudoktoreos.prediction.feedintariffabc import FeedInTariffDataRecord from akkudoktoreos.prediction.feedintariffabc import FeedInTariffDataRecord
from akkudoktoreos.prediction.feedintariffimport import FeedInTariffImport from akkudoktoreos.prediction.feedintariffimport import FeedInTariffImport
@@ -99,7 +98,7 @@ async def test_provider_revenues_survive_preparation_and_simulation(
# No battery or household load is needed to expose tariff substitution/unit bugs. # No battery or household load is needed to expose tariff substitution/unit bugs.
inverter = Inverter(InverterParameters(device_id="inverter1", max_power_wh=10000)) inverter = Inverter(InverterParameters(device_id="inverter1", max_power_wh=10000))
inverter.self_consumption_predictor = Mock() inverter.self_consumption_predictor = Mock()
inverter.self_consumption_predictor.calculate_self_consumption.return_value = 1.0 inverter.self_consumption_predictor.calculate_expected_direct_consumption.return_value = 0.0
simulation = GeneticSimulation() simulation = GeneticSimulation()
simulation.prepare( simulation.prepare(
parameters.ems, optimization_hours=24, prediction_hours=24, inverter=inverter parameters.ems, optimization_hours=24, prediction_hours=24, inverter=inverter