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Json configuration (#141)

Browse Source 
* Add json config
* Adjust code to new config

---------

Co-authored-by: Chris <git@nootch.de>
This commit is contained in:
Chris
2024-11-11 21:38:13 +01:00
committed by GitHub
parent f2ecb5a33f
commit 057f86d580
21 changed files with 726 additions and 171 deletions
Download Patch File Download Diff File Expand all files Collapse all files

23
tests/conftest.py
View File

@@ -3,10 +3,21 @@ import os
import subprocess
import sys
import time
from pathlib import Path
import pytest
from xprocess import ProcessStarter
from akkudoktoreos.config import EOS_DIR, AppConfig, load_config
@pytest.fixture(name="tmp_config")
def load_config_tmp(tmp_path: Path) -> AppConfig:
"""Creates an AppConfig from default.config.json with a tmp output directory."""
config = load_config(tmp_path)
config.directories.output = tmp_path
return config
@pytest.fixture(autouse=True)
def disable_debug_logging():
@@ -29,7 +40,7 @@ def is_full_run(request):
@pytest.fixture
def server(xprocess):
def server(xprocess, tmp_path: Path):
"""Fixture to start the server.
Provides URL of the server.
@@ -45,8 +56,7 @@ def server(xprocess):
stderr=subprocess.PIPE,
)
except subprocess.CalledProcessError:
test_dir = os.path.dirname(os.path.realpath(__file__))
project_dir = os.path.abspath(os.path.join(test_dir, ".."))
project_dir = Path(__file__).parent.parent
subprocess.run(
[sys.executable, "-m", "pip", "install", "-e", project_dir],
check=True,
@@ -56,14 +66,15 @@ def server(xprocess):
# command to start server process
args = [sys.executable, "-m", "akkudoktoreosserver.flask_server"]
env = {EOS_DIR: f"{tmp_path}", **os.environ.copy()}
# startup pattern
pattern = "Debugger PIN:"
# search the first 12 lines for the startup pattern, if not found
# search the first 30 lines for the startup pattern, if not found
# a RuntimeError will be raised informing the user
max_read_lines = 12
max_read_lines = 30
# will wait for 10 seconds before timing out
# will wait for 30 seconds before timing out
timeout = 30
# xprocess will now attempt to clean up upon interruptions

6
tests/test_class_ems.py
View File

@@ -4,7 +4,8 @@ import pytest
from akkudoktoreos.class_akku import PVAkku
from akkudoktoreos.class_ems import EnergieManagementSystem
from akkudoktoreos.class_haushaltsgeraet import Haushaltsgeraet
from akkudoktoreos.class_inverter import Wechselrichter # Example import
from akkudoktoreos.class_inverter import Wechselrichter
from akkudoktoreos.config import AppConfig
prediction_hours = 48
optimization_hours = 24
@@ -13,7 +14,7 @@ start_hour = 1
# Example initialization of necessary components
@pytest.fixture
def create_ems_instance():
def create_ems_instance(tmp_config: AppConfig) -> EnergieManagementSystem:
"""Fixture to create an EnergieManagementSystem instance with given test parameters."""
# Initialize the battery and the inverter
akku = PVAkku(kapazitaet_wh=5000, start_soc_prozent=80, hours=48, min_soc_prozent=10)
@@ -189,6 +190,7 @@ def create_ems_instance():
# Initialize the energy management system with the respective parameters
ems = EnergieManagementSystem(
config=tmp_config.eos,
pv_prognose_wh=pv_prognose_wh,
strompreis_euro_pro_wh=strompreis_euro_pro_wh,
einspeiseverguetung_euro_pro_wh=einspeiseverguetung_euro_pro_wh,

6
tests/test_class_ems_2.py
View File

@@ -4,7 +4,8 @@ import pytest
from akkudoktoreos.class_akku import PVAkku
from akkudoktoreos.class_ems import EnergieManagementSystem
from akkudoktoreos.class_haushaltsgeraet import Haushaltsgeraet
from akkudoktoreos.class_inverter import Wechselrichter # Example import
from akkudoktoreos.class_inverter import Wechselrichter
from akkudoktoreos.config import AppConfig
prediction_hours = 48
optimization_hours = 24
@@ -13,7 +14,7 @@ start_hour = 0
# Example initialization of necessary components
@pytest.fixture
def create_ems_instance():
def create_ems_instance(tmp_config: AppConfig) -> EnergieManagementSystem:
"""Fixture to create an EnergieManagementSystem instance with given test parameters."""
# Initialize the battery and the inverter
akku = PVAkku(kapazitaet_wh=5000, start_soc_prozent=80, hours=48, min_soc_prozent=10)
@@ -96,6 +97,7 @@ def create_ems_instance():
# Initialize the energy management system with the respective parameters
ems = EnergieManagementSystem(
config=tmp_config.eos,
pv_prognose_wh=pv_prognose_wh,
strompreis_euro_pro_wh=strompreis_euro_pro_wh,
einspeiseverguetung_euro_pro_wh=einspeiseverguetung_euro_pro_wh,

21
tests/test_class_optimize.py
View File

@@ -6,6 +6,7 @@ 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"
@@ -33,17 +34,25 @@ def compare_dict(actual: dict[str, Any], expected: dict[str, Any]):
],
)
@patch("akkudoktoreos.class_optimize.visualisiere_ergebnisse")
def test_optimize(visualisiere_ergebnisse_patch, fn_in: str, fn_out: str, ngen: int, is_full_run):
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
with open(DIR_TESTDATA / fn_in, "r") as f_in:
file = DIR_TESTDATA / fn_in
with file.open("r") as f_in:
input_data = json.load(f_in)
with open(DIR_TESTDATA / fn_out, "r") as f_out:
file = DIR_TESTDATA / fn_out
with file.open("r") as f_out:
expected_output_data = json.load(f_out)
opt_class = optimization_problem(
prediction_hours=48, strafe=10, optimization_hours=24, fixed_seed=42
)
opt_class = optimization_problem(tmp_config, fixed_seed=42)
start_hour = 10
if ngen > 10 and not is_full_run:

71
tests/test_config.py Normal file
View File

@@ -0,0 +1,71 @@
import json
from pathlib import Path
import pytest
from pydantic import ValidationError
from akkudoktoreos.config import (
CONFIG_FILE_NAME,
DEFAULT_CONFIG_FILE,
get_config_file,
load_config,
)
def test_config() -> None:
"""Test the default config file."""
try:
load_config(Path.cwd())
except ValidationError as exc:
pytest.fail(f"Default configuration is not valid: {exc}")
def test_config_copy(tmp_path: Path) -> None:
"""Test if the config is copied to the provided path."""
assert DEFAULT_CONFIG_FILE == get_config_file(Path("does", "not", "exist"), False)
load_config(tmp_path, True)
expected_config = tmp_path.joinpath(CONFIG_FILE_NAME)
assert expected_config == get_config_file(tmp_path, False)
assert expected_config.is_file()
def test_config_merge(tmp_path: Path) -> None:
"""Test if config is merged and updated correctly."""
config_file = tmp_path.joinpath(CONFIG_FILE_NAME)
custom_config = {
"eos": {
"optimization_hours": 30,
"penalty": 21,
"does_not_exist": "nope",
"available_charging_rates_in_percentage": "False entry",
}
}
with config_file.open("w") as f_out:
json.dump(custom_config, f_out)
assert config_file.exists()
with pytest.raises(ValueError):
# custom configuration is broken but not updated.
load_config(tmp_path, tmp_path, False)
with config_file.open("r") as f_in:
# custom configuration is not changed.
assert json.load(f_in) == custom_config
config = load_config(tmp_path)
assert config.eos.optimization_hours == 30
assert config.eos.penalty == 21
def test_setup(tmp_path: Path) -> None:
"""Test setup."""
config = load_config(tmp_path, True)
config.run_setup()
assert tmp_path.joinpath(CONFIG_FILE_NAME).is_file()
assert tmp_path.joinpath(config.directories.cache).is_dir()
assert tmp_path.joinpath(config.directories.output).is_dir()

22
tests/test_server.py
View File

@@ -1,10 +1,24 @@
from http import HTTPStatus
from pathlib import Path
import requests
from akkudoktoreos.config import prediction_hours
from akkudoktoreos.config import CONFIG_FILE_NAME, load_config
def test_server(server):
def test_fixture_setup(server, tmp_path: Path) -> None:
"""Test if the fixture sets up the server with the env var."""
# validate correct path in server
config = load_config(tmp_path, False)
assert tmp_path.joinpath(CONFIG_FILE_NAME).is_file()
cache = tmp_path / config.directories.cache
assert cache.is_dir()
def test_server(server, tmp_path: Path):
"""Test the server."""
result = requests.get(f"{server}/gesamtlast_simple?year_energy=2000&")
assert result.status_code == 200
assert len(result.json()) == prediction_hours
assert result.status_code == HTTPStatus.OK
config = load_config(tmp_path, False)
assert len(result.json()) == config.eos.prediction_hours

12
tests/test_visualize.py
View File

@@ -1,10 +1,10 @@
import json
from pathlib import Path
from unittest.mock import patch
import pytest
from matplotlib.testing.compare import compare_images
from akkudoktoreos.config import AppConfig
from akkudoktoreos.visualize import visualisiere_ergebnisse
DIR_TESTDATA = Path(__file__).parent / "testdata"
@@ -15,14 +15,16 @@ DIR_IMAGEDATA = DIR_TESTDATA / "images"
"fn_in, fn_out, fn_out_base",
[("visualize_input_1.json", "visualize_output_1.pdf", "visualize_base_output_1.pdf")],
)
@patch("akkudoktoreos.visualize.output_dir", DIR_IMAGEDATA)
def test_visualisiere_ergebnisse(fn_in, fn_out, fn_out_base):
def test_visualisiere_ergebnisse(fn_in, fn_out, fn_out_base, tmp_config: AppConfig):
with open(DIR_TESTDATA / fn_in, "r") as f:
input_data = json.load(f)
visualisiere_ergebnisse(**input_data)
visualisiere_ergebnisse(config=tmp_config, **input_data)
output_file: Path = tmp_config.working_dir / tmp_config.directories.output / fn_out
assert output_file.is_file()
assert (
compare_images(
str(DIR_IMAGEDATA / fn_out),
str(output_file),
str(DIR_IMAGEDATA / fn_out_base),
0,
)

148
tests/testdata/visualize_input_1.json vendored
View File

@@ -1,62 +1,174 @@
{
"gesamtlast": [
676.71, 876.19, 527.13, 468.88, 531.38, 517.95, 483.15, 472.28, 1011.68, 995.0, 1053.07, 1063.91, 1320.56, 1132.03, 1163.67, 1176.82, 1216.22, 1103.78, 1129.12, 1178.71, 1050.98, 988.56, 912.38, 704.61, 516.37, 868.05, 694.34, 608.79, 556.31, 488.89, 506.91, 804.89, 1141.98, 1056.97, 992.46, 1155.99, 827.01, 1257.98, 1232.67, 871.26, 860.88, 1158.03, 1222.72, 1221.04, 949.99, 987.01, 733.99, 592.97
676.71, 876.19, 527.13, 468.88, 531.38, 517.95, 483.15, 472.28, 1011.68,
995.0, 1053.07, 1063.91, 1320.56, 1132.03, 1163.67, 1176.82, 1216.22,
1103.78, 1129.12, 1178.71, 1050.98, 988.56, 912.38, 704.61, 516.37, 868.05,
694.34, 608.79, 556.31, 488.89, 506.91, 804.89, 1141.98, 1056.97, 992.46,
1155.99, 827.01, 1257.98, 1232.67, 871.26, 860.88, 1158.03, 1222.72,
1221.04, 949.99, 987.01, 733.99, 592.97
],
"pv_forecast": [
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5000.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5000.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0
],
"strompreise": [
0.00001, 0.00001, 0.00001, 0.00001, 0.00001, 0.00001, 0.00001, 0.00001, 0.00001, 0.00001, 0.001, 0.00005, 0.00005, 0.00005, 0.00005, 0.001, 0.001, 0.001, 0.001, 0.001, 0.00001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001
0.00001, 0.00001, 0.00001, 0.00001, 0.00001, 0.00001, 0.00001, 0.00001,
0.00001, 0.00001, 0.001, 0.00005, 0.00005, 0.00005, 0.00005, 0.001, 0.001,
0.001, 0.001, 0.001, 0.00001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001,
0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001,
0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001
],
"ergebnisse": {
"Last_Wh_pro_Stunde": [
12493.71, 10502.19, 12775.13, 15356.88, 11468.38, 4037.95, 6047.15, 3112.2799999999997, 3211.68, 995.0, 1053.07, 1063.91, 1320.56, 1132.03, 1163.67, 1176.82, 1216.22, 1103.78, 1129.12, 1178.71, 1050.98, 988.56, 2035.7436363636361, 704.61, 516.37, 868.05, 694.34, 608.79, 556.31, 488.89, 506.91, 804.89, 1141.98, 1056.97, 992.46, 1155.99, 827.01, 1257.98, 1232.67, 871.26, 860.88, 1158.03, 1222.72, 1221.04, 949.99, 987.01, 733.99, 592.97
12493.71, 10502.19, 12775.13, 15356.88, 11468.38, 4037.95, 6047.15,
3112.2799999999997, 3211.68, 995.0, 1053.07, 1063.91, 1320.56, 1132.03,
1163.67, 1176.82, 1216.22, 1103.78, 1129.12, 1178.71, 1050.98, 988.56,
2035.7436363636361, 704.61, 516.37, 868.05, 694.34, 608.79, 556.31,
488.89, 506.91, 804.89, 1141.98, 1056.97, 992.46, 1155.99, 827.01,
1257.98, 1232.67, 871.26, 860.88, 1158.03, 1222.72, 1221.04, 949.99,
987.01, 733.99, 592.97
],
"Netzeinspeisung_Wh_pro_Stunde": [
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3679.44, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3679.44, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0
],
"Netzbezug_Wh_pro_Stunde": [
12493.71, 10502.19, 12775.13, 15356.88, 11468.38, 4037.95, 6047.15, 3112.2799999999997, 3211.68, 995.0, 1053.07, 1063.91, 0.0, 1132.03, 1163.67, 1176.82, 1216.22, 1103.78, 1129.12, 1178.71, 1050.98, 0.0, 2035.7436363636361, 704.61, 516.37, 868.05, 694.34, 608.79, 556.31, 488.89, 506.91, 804.89, 1141.98, 1056.97, 992.46, 1155.99, 827.01, 1257.98, 1232.67, 871.26, 860.88, 1158.03, 0.0, 1221.04, 0.0, 0.0, 0.0, 592.97
12493.71, 10502.19, 12775.13, 15356.88, 11468.38, 4037.95, 6047.15,
3112.2799999999997, 3211.68, 995.0, 1053.07, 1063.91, 0.0, 1132.03,
1163.67, 1176.82, 1216.22, 1103.78, 1129.12, 1178.71, 1050.98, 0.0,
2035.7436363636361, 704.61, 516.37, 868.05, 694.34, 608.79, 556.31,
488.89, 506.91, 804.89, 1141.98, 1056.97, 992.46, 1155.99, 827.01,
1257.98, 1232.67, 871.26, 860.88, 1158.03, 0.0, 1221.04, 0.0, 0.0, 0.0,
592.97
],
"Kosten_Euro_pro_Stunde": [
0.1249371, 0.10502190000000002, 0.1277513, 0.1535688, 0.1146838, 0.0403795, 0.060471500000000004, 0.0311228, 0.0321168, 0.00995, 1.05307, 0.05319550000000001, 0.0, 0.0566015, 0.058183500000000006, 1.17682, 1.21622, 1.10378, 1.12912, 1.1787100000000001, 0.010509800000000001, 0.0, 2.035743636363636, 0.7046100000000001, 0.51637, 0.86805, 0.6943400000000001, 0.6087899999999999, 0.55631, 0.48889, 0.5069100000000001, 0.80489, 1.14198, 1.05697, 0.99246, 1.15599, 0.82701, 1.25798, 1.2326700000000002, 0.87126, 0.86088, 1.15803, 0.0, 1.22104, 0.0, 0.0, 0.0, 0.59297
0.1249371, 0.10502190000000002, 0.1277513, 0.1535688, 0.1146838,
0.0403795, 0.060471500000000004, 0.0311228, 0.0321168, 0.00995, 1.05307,
0.05319550000000001, 0.0, 0.0566015, 0.058183500000000006, 1.17682,
1.21622, 1.10378, 1.12912, 1.1787100000000001, 0.010509800000000001, 0.0,
2.035743636363636, 0.7046100000000001, 0.51637, 0.86805,
0.6943400000000001, 0.6087899999999999, 0.55631, 0.48889,
0.5069100000000001, 0.80489, 1.14198, 1.05697, 0.99246, 1.15599, 0.82701,
1.25798, 1.2326700000000002, 0.87126, 0.86088, 1.15803, 0.0, 1.22104, 0.0,
0.0, 0.0, 0.59297
],
"akku_soc_pro_stunde": [
25.0, 31.666666666666664, 38.333333333333336, 55.00000000000001, 61.66666666666667, 75.0, 81.66666666666667, 91.66666666666666, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 95.7448347107438, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 94.73691460055097, 94.73691460055097, 90.64777031680441, 86.39927685950414, 83.23988464187329, 83.23988464187329
25.0, 31.666666666666664, 38.333333333333336, 55.00000000000001,
61.66666666666667, 75.0, 81.66666666666667, 91.66666666666666, 100.0,
100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0,
100.0, 100.0, 95.7448347107438, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0,
100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0,
100.0, 100.0, 100.0, 100.0, 94.73691460055097, 94.73691460055097,
90.64777031680441, 86.39927685950414, 83.23988464187329, 83.23988464187329
],
"Einnahmen_Euro_pro_Stunde": [
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2575608, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2575608,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0
],
"Gesamtbilanz_Euro": 27.732796636363638,
"E-Auto_SoC_pro_Stunde": [
30.294999999999998, 43.405, 60.885, 78.365, 93.66, 93.66, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0
30.294999999999998, 43.405, 60.885, 78.365, 93.66, 93.66, 100.0, 100.0,
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"filename": "visualize_output_1.pdf",
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