mirror of
https://github.com/Akkudoktor-EOS/EOS.git
synced 2026-10-29 17:21:57 +00:00
161 lines
6.1 KiB
Python
161 lines
6.1 KiB
Python
"""GENETIC0 must use the SoC read during the run, not an older reading (#1447)."""
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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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import pytest_asyncio
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from akkudoktoreos.core.coreabc import get_ems, get_measurement
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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_asyncio.fixture
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async def isolated_measurement(config_eos):
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"""Keep synthetic records out of the process-wide measurement singleton."""
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measurement = get_measurement()
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await measurement.delete_by_datetime(None, None)
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try:
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yield measurement
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finally:
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await measurement.delete_by_datetime(None, None)
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@pytest.mark.asyncio
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async def test_soc_read_late_in_slot_beats_previous_reading(config_eos, isolated_measurement):
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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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"elecfee": {"provider": None},
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"devices": {
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"max_batteries": 1,
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"max_electric_vehicles": 0,
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"max_inverters": 1,
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"max_home_appliances": 0,
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"batteries": {"storage": {"capacity_wh": 2000, "max_charge_power_w": 1000}},
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"inverters": {"inverter": {"battery_id": "storage", "max_power_w": 1000}},
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},
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}
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)
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# A run at 14:40 belongs to the 14:00 slot. The previous run (13:40) is closer
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# to the slot start than the reading taken now.
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run_time = to_datetime("2026-08-01T14:40:00+00:00")
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get_ems().set_start_datetime(run_time)
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measurement = isolated_measurement
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await measurement.update_value(run_time.subtract(hours=1), "storage-soc-factor", 0.10)
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await measurement.update_value(run_time, "storage-soc-factor", 0.42)
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tariff = pd.Series(
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0.00008, index=pd.date_range("2026-08-01T00:00:00Z", periods=72 * 4, freq="15min")
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)
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async def read_array(**kwargs):
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return np.full(48, 0.0003)
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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=tariff),
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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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assert parameters is not None
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assert parameters.pv_battery is not None
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assert parameters.pv_battery.initial_soc_percentage == 42
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@pytest.mark.asyncio
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async def test_meter_only_record_does_not_mask_soc(config_eos, isolated_measurement):
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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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"elecfee": {"provider": None},
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"measurement": {"load_emr_keys": ["load_meter"]},
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"devices": {
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"max_batteries": 1,
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"max_electric_vehicles": 0,
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"max_inverters": 1,
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"max_home_appliances": 0,
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"batteries": {"storage": {"capacity_wh": 2000, "max_charge_power_w": 1000}},
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"inverters": {"inverter": {"battery_id": "storage", "max_power_w": 1000}},
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},
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}
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)
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run_time = to_datetime("2026-08-01T14:40:00+00:00")
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get_ems().set_start_datetime(run_time)
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measurement = isolated_measurement
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# SoC through the measurement API at 13:30, the adapter's meter reading at the
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# slot start (14:00); the run at 14:40 must still find the SoC.
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await measurement.update_value(run_time.subtract(minutes=70), "storage-soc-factor", 0.42)
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await measurement.update_value(get_ems().start_datetime, "load_meter", 1234.5)
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tariff = pd.Series(
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0.00008, index=pd.date_range("2026-08-01T00:00:00Z", periods=72 * 4, freq="15min")
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)
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async def read_array(**kwargs):
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return np.full(48, 0.0003)
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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=tariff),
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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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assert parameters is not None
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assert parameters.pv_battery is not None
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assert parameters.pv_battery.initial_soc_percentage == 42
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@pytest.mark.asyncio
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async def test_older_missing_value_does_not_spoil_current_soc(config_eos, isolated_measurement):
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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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"elecfee": {"provider": None},
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"devices": {
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"max_batteries": 1,
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"max_electric_vehicles": 0,
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"max_inverters": 1,
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"max_home_appliances": 0,
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"batteries": {"storage": {"capacity_wh": 2000, "max_charge_power_w": 1000}},
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"inverters": {"inverter": {"battery_id": "storage", "max_power_w": 1000}},
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},
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}
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)
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run_time = to_datetime("2026-08-01T14:40:00+00:00")
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get_ems().set_start_datetime(run_time)
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measurement = isolated_measurement
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# An older reading stored as pandas NA (e.g. a JSON null in a Float64 series).
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await measurement.update_value(run_time.subtract(hours=1), "storage-soc-factor", pd.NA)
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await measurement.update_value(run_time, "storage-soc-factor", 0.42)
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tariff = pd.Series(
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0.00008, index=pd.date_range("2026-08-01T00:00:00Z", periods=72 * 4, freq="15min")
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)
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async def read_array(**kwargs):
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return np.full(48, 0.0003)
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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=tariff),
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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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assert parameters is not None
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assert parameters.pv_battery is not None
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assert parameters.pv_battery.initial_soc_percentage == 42
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