mirror of
https://github.com/Akkudoktor-EOS/EOS.git
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f61665669f
* Migrate from Flask to FastAPI
* FastAPI migration:
- Use pydantic model classes as input parameters to the
data/calculation classes.
- Interface field names changed to constructor parameter names (for
simplicity only during transition, should be updated in a followup
PR).
- Add basic interface requirements (e.g. some values > 0, etc.).
* Update tests for new data format.
* Python requirement down to 3.9 (TypeGuard no longer needed)
* Makefile: Add helpful targets (e.g. development server with reload)
* Move API doc from README to pydantic model classes (swagger)
* Link to swagger.io with own openapi.yml.
* Commit openapi.json and check with pytest for changes so the
documentation is always up-to-date.
* Streamline docker
* FastAPI: Run startup action on dev server
* Fix config for /strompreis, endpoint still broken however.
* test_openapi: Compare against docs/.../openapi.json
* Move fastapi to server/ submodule
* See #187 for new repository structure.
235 lines
6.8 KiB
Python
235 lines
6.8 KiB
Python
import numpy as np
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import pytest
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from akkudoktoreos.class_akku import EAutoParameters, PVAkku, PVAkkuParameters
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from akkudoktoreos.class_ems import (
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EnergieManagementSystem,
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EnergieManagementSystemParameters,
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)
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from akkudoktoreos.class_haushaltsgeraet import (
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Haushaltsgeraet,
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HaushaltsgeraetParameters,
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)
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from akkudoktoreos.class_inverter import Wechselrichter, WechselrichterParameters
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from akkudoktoreos.config import AppConfig
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prediction_hours = 48
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optimization_hours = 24
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start_hour = 0
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# Example initialization of necessary components
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@pytest.fixture
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def create_ems_instance(tmp_config: AppConfig) -> EnergieManagementSystem:
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"""Fixture to create an EnergieManagementSystem instance with given test parameters."""
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# Initialize the battery and the inverter
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akku = PVAkku(
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PVAkkuParameters(kapazitaet_wh=5000, start_soc_prozent=80, min_soc_prozent=10),
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hours=prediction_hours,
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)
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akku.reset()
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wechselrichter = Wechselrichter(WechselrichterParameters(max_leistung_wh=10000), akku)
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# Household device (currently not used, set to None)
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home_appliance = Haushaltsgeraet(
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HaushaltsgeraetParameters(
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verbrauch_wh=2000,
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dauer_h=2,
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),
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hours=prediction_hours,
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)
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home_appliance.set_startzeitpunkt(2)
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# Example initialization of electric car battery
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eauto = PVAkku(
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EAutoParameters(kapazitaet_wh=26400, start_soc_prozent=100, min_soc_prozent=100),
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hours=prediction_hours,
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)
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# Parameters based on previous example data
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pv_prognose_wh = np.full(prediction_hours, 0)
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pv_prognose_wh[10] = 5000.0
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pv_prognose_wh[11] = 5000.0
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strompreis_euro_pro_wh = np.full(48, 0.001)
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strompreis_euro_pro_wh[0:10] = 0.00001
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strompreis_euro_pro_wh[11:15] = 0.00005
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strompreis_euro_pro_wh[20] = 0.00001
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einspeiseverguetung_euro_pro_wh = [0.00007] * len(strompreis_euro_pro_wh)
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gesamtlast = [
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676.71,
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876.19,
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527.13,
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468.88,
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531.38,
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517.95,
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483.15,
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472.28,
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1011.68,
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995.00,
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1053.07,
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1063.91,
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1320.56,
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1132.03,
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1163.67,
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1176.82,
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1216.22,
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1103.78,
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1129.12,
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1178.71,
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1050.98,
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988.56,
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912.38,
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704.61,
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516.37,
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868.05,
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694.34,
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608.79,
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556.31,
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488.89,
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506.91,
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804.89,
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1141.98,
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1056.97,
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992.46,
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1155.99,
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827.01,
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1257.98,
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1232.67,
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871.26,
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860.88,
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1158.03,
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1222.72,
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1221.04,
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949.99,
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987.01,
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733.99,
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592.97,
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]
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# Initialize the energy management system with the respective parameters
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ems = EnergieManagementSystem(
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tmp_config.eos,
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EnergieManagementSystemParameters(
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pv_prognose_wh=pv_prognose_wh,
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strompreis_euro_pro_wh=strompreis_euro_pro_wh,
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einspeiseverguetung_euro_pro_wh=einspeiseverguetung_euro_pro_wh,
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preis_euro_pro_wh_akku=0,
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gesamtlast=gesamtlast,
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),
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eauto=eauto,
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haushaltsgeraet=home_appliance,
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wechselrichter=wechselrichter,
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)
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ac = np.full(prediction_hours, 0)
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ac[20] = 1
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ems.set_akku_ac_charge_hours(ac)
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dc = np.full(prediction_hours, 0)
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dc[11] = 1
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ems.set_akku_dc_charge_hours(dc)
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return ems
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def test_simulation(create_ems_instance):
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"""Test the EnergieManagementSystem simulation method."""
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ems = create_ems_instance
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# Simulate starting from hour 0 (this value can be adjusted)
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result = ems.simuliere(start_stunde=start_hour)
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# --- Pls do not remove! ---
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# visualisiere_ergebnisse(
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# ems.gesamtlast,
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# ems.pv_prognose_wh,
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# ems.strompreis_euro_pro_wh,
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# result,
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# ems.akku.discharge_array+ems.akku.charge_array,
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# None,
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# ems.pv_prognose_wh,
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# start_hour,
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# 48,
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# np.full(48, 0.0),
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# filename="visualization_results.pdf",
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# extra_data=None,
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# )
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# Assertions to validate results
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assert result is not None, "Result should not be None"
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assert isinstance(result, dict), "Result should be a dictionary"
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assert "Last_Wh_pro_Stunde" in result, "Result should contain 'Last_Wh_pro_Stunde'"
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"""
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Check the result of the simulation based on expected values.
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"""
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# Example result returned from the simulation (used for assertions)
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assert result is not None, "Result should not be None."
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# Check that the result is a dictionary
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assert isinstance(result, dict), "Result should be a dictionary."
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# Verify that the expected keys are present in the result
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expected_keys = [
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"Last_Wh_pro_Stunde",
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"Netzeinspeisung_Wh_pro_Stunde",
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"Netzbezug_Wh_pro_Stunde",
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"Kosten_Euro_pro_Stunde",
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"akku_soc_pro_stunde",
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"Einnahmen_Euro_pro_Stunde",
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"Gesamtbilanz_Euro",
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"EAuto_SoC_pro_Stunde",
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"Gesamteinnahmen_Euro",
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"Gesamtkosten_Euro",
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"Verluste_Pro_Stunde",
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"Gesamt_Verluste",
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"Haushaltsgeraet_wh_pro_stunde",
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]
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for key in expected_keys:
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assert key in result, f"The key '{key}' should be present in the result."
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# Check the length of the main arrays
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assert (
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len(result["Last_Wh_pro_Stunde"]) == 48
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), "The length of 'Last_Wh_pro_Stunde' should be 48."
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assert (
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len(result["Netzeinspeisung_Wh_pro_Stunde"]) == 48
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), "The length of 'Netzeinspeisung_Wh_pro_Stunde' should be 48."
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assert (
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len(result["Netzbezug_Wh_pro_Stunde"]) == 48
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), "The length of 'Netzbezug_Wh_pro_Stunde' should be 48."
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assert (
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len(result["Kosten_Euro_pro_Stunde"]) == 48
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), "The length of 'Kosten_Euro_pro_Stunde' should be 48."
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assert (
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len(result["akku_soc_pro_stunde"]) == 48
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), "The length of 'akku_soc_pro_stunde' should be 48."
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# Verfify DC and AC Charge Bins
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assert (
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abs(result["akku_soc_pro_stunde"][10] - 10.0) < 1e-5
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), "'akku_soc_pro_stunde[10]' should be 10."
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assert (
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abs(result["akku_soc_pro_stunde"][11] - 79.275184) < 1e-5
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), "'akku_soc_pro_stunde[11]' should be 79.275184."
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assert (
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abs(result["Netzeinspeisung_Wh_pro_Stunde"][10] - 3946.93) < 1e-3
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), "'Netzeinspeisung_Wh_pro_Stunde[11]' should be 4000."
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assert (
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abs(result["Netzeinspeisung_Wh_pro_Stunde"][11] - 0.0) < 1e-3
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), "'Netzeinspeisung_Wh_pro_Stunde[11]' should be 0.0."
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assert (
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abs(result["akku_soc_pro_stunde"][20] - 98) < 1e-5
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), "'akku_soc_pro_stunde[11]' should be 98."
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assert (
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abs(result["Last_Wh_pro_Stunde"][20] - 5450.98) < 1e-3
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), "'Netzeinspeisung_Wh_pro_Stunde[11]' should be 0.0."
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print("All tests passed successfully.")
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