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https://github.com/Akkudoktor-EOS/EOS.git
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NormannandGitHub
e203a81666
* fix: surface DVhub feed-in tariff update failures * test: annotate DVhub sample records for mypy * fix: require real feed-in tariff coverage in GENETIC0 * test: satisfy GENETIC0 tariff coverage checks * test: patch DVhub storage method on its class
66 lines
2.2 KiB
Python
66 lines
2.2 KiB
Python
"""GENETIC0 must not extend a published feed-in tariff beyond real coverage."""
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from unittest.mock import AsyncMock, Mock, patch
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import numpy as np
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import pandas as pd
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import pytest
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from akkudoktoreos.core.coreabc import get_ems
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from akkudoktoreos.optimization.genetic0.genetic0params import (
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Genetic0OptimizationParameters,
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)
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from akkudoktoreos.utils.datetimeutil import to_datetime
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@pytest.mark.asyncio
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@pytest.mark.parametrize("published_hours", [20, 24])
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async def test_dvhub_tariff_requires_real_control_horizon(
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config_eos, published_hours, caplog
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):
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config_eos.merge_settings_from_dict(
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{
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"prediction": {"hours": 48},
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"optimization": {"genetic0": {"horizon_hours": 24}},
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"feedintariff": {"provider": "FeedInTariffDvhubOnline"},
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"elecfee": {"provider": None},
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"devices": {
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"max_batteries": 0,
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"max_electric_vehicles": 0,
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"max_inverters": 0,
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"max_home_appliances": 0,
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},
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}
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)
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start = to_datetime("2026-08-01T00:00:00+00:00")
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get_ems().set_start_datetime(start)
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prices = pd.Series(
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np.arange(published_hours * 4, dtype=float) / 1_000_000,
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index=pd.date_range(start, periods=published_hours * 4, freq="15min"),
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)
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async def read_array(**kwargs):
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return np.full(48, 1.0)
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prediction = Mock(
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update_data=AsyncMock(),
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key_to_array=AsyncMock(side_effect=read_array),
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key_to_raw_series=AsyncMock(return_value=prices),
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)
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with patch.object(Genetic0OptimizationParameters, "prediction", prediction):
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parameters = await Genetic0OptimizationParameters.prepare()
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prediction.update_data.assert_awaited_once()
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assert config_eos.feedintariff.provider == "FeedInTariffDvhubOnline"
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if published_hours < 24:
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assert parameters is None
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assert "Missing feed-in tariff within the GENETIC0 control horizon" in caplog.text
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else:
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assert parameters is not None
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tariffs = parameters.ems.feed_in_tariff_per_wh
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assert isinstance(tariffs, list)
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assert tariffs[:24] == pytest.approx(
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[(4 * hour + 1.5) / 1_000_000 for hour in range(24)]
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)
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assert np.isnan(tariffs[24:]).all()
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