mirror of
https://github.com/Akkudoktor-EOS/EOS.git
synced 2025-04-19 08:55:15 +00:00
057f86d580
* Add json config * Adjust code to new config --------- Co-authored-by: Chris <git@nootch.de>
75 lines
2.4 KiB
Python
75 lines
2.4 KiB
Python
import json
|
|
from pathlib import Path
|
|
from typing import Any
|
|
from unittest.mock import patch
|
|
|
|
import pytest
|
|
|
|
from akkudoktoreos.class_optimize import optimization_problem
|
|
from akkudoktoreos.config import AppConfig
|
|
|
|
DIR_TESTDATA = Path(__file__).parent / "testdata"
|
|
|
|
|
|
def compare_dict(actual: dict[str, Any], expected: dict[str, Any]):
|
|
assert set(actual) == set(expected)
|
|
|
|
for key, value in expected.items():
|
|
if isinstance(value, dict):
|
|
assert isinstance(actual[key], dict)
|
|
compare_dict(actual[key], value)
|
|
elif isinstance(value, list):
|
|
assert isinstance(actual[key], list)
|
|
assert actual[key] == pytest.approx(value)
|
|
else:
|
|
assert actual[key] == pytest.approx(value)
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"fn_in, fn_out, ngen",
|
|
[
|
|
("optimize_input_1.json", "optimize_result_1.json", 3),
|
|
("optimize_input_2.json", "optimize_result_2.json", 3),
|
|
("optimize_input_2.json", "optimize_result_2_full.json", 400),
|
|
],
|
|
)
|
|
@patch("akkudoktoreos.class_optimize.visualisiere_ergebnisse")
|
|
def test_optimize(
|
|
visualisiere_ergebnisse_patch,
|
|
fn_in: str,
|
|
fn_out: str,
|
|
ngen: int,
|
|
is_full_run: bool,
|
|
tmp_config: AppConfig,
|
|
):
|
|
"""Test optimierung_ems."""
|
|
# Load input and output data
|
|
file = DIR_TESTDATA / fn_in
|
|
with file.open("r") as f_in:
|
|
input_data = json.load(f_in)
|
|
|
|
file = DIR_TESTDATA / fn_out
|
|
with file.open("r") as f_out:
|
|
expected_output_data = json.load(f_out)
|
|
|
|
opt_class = optimization_problem(tmp_config, fixed_seed=42)
|
|
start_hour = 10
|
|
|
|
if ngen > 10 and not is_full_run:
|
|
pytest.skip()
|
|
|
|
# Call the optimization function
|
|
ergebnis = opt_class.optimierung_ems(parameter=input_data, start_hour=start_hour, ngen=ngen)
|
|
# with open(f"new_{fn_out}", "w") as f_out:
|
|
# from akkudoktoreos.class_numpy_encoder import NumpyEncoder
|
|
# json_data_str = NumpyEncoder.dumps(ergebnis)
|
|
# json.dump(json.loads(json_data_str), f_out, indent=4)
|
|
|
|
# Assert that the output contains all expected entries.
|
|
# This does not assert that the optimization always gives the same result!
|
|
# Reproducibility and mathematical accuracy should be tested on the level of individual components.
|
|
compare_dict(ergebnis, expected_output_data)
|
|
|
|
# The function creates a visualization result PDF as a side-effect.
|
|
visualisiere_ergebnisse_patch.assert_called_once()
|