mirror of
https://github.com/Akkudoktor-EOS/EOS.git
synced 2025-04-19 08:55:15 +00:00
be26457563
* All config now nested.
- Use default config from model field default values. If providers
should be enabled by default, non-empty default config file could
be provided again.
- Environment variable support with EOS_ prefix and __ between levels,
e.g. EOS_SERVER__EOS_SERVER_PORT=8503 where all values are case
insensitive.
For more information see:
https://docs.pydantic.dev/latest/concepts/pydantic_settings/#parsing-environment-variable-values
- Use devices as registry for configured devices. DeviceBase as base
class with for now just initializion support (in the future expand
to operations during optimization).
- Strip down ConfigEOS to the only configuration instance. Reload
from file or reset to defaults is possible.
* Fix multi-initialization of derived SingletonMixin classes.
116 lines
4.3 KiB
Python
116 lines
4.3 KiB
Python
import json
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from pathlib import Path
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import pytest
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from akkudoktoreos.core.ems import get_ems
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from akkudoktoreos.prediction.weatherimport import WeatherImport
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from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime
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DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
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FILE_TESTDATA_WEATHERIMPORT_1_JSON = DIR_TESTDATA.joinpath("import_input_1.json")
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@pytest.fixture
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def weather_provider(sample_import_1_json, config_eos):
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"""Fixture to create a WeatherProvider instance."""
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settings = {
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"weather": {
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"weather_provider": "WeatherImport",
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"provider_settings": {
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"weatherimport_file_path": str(FILE_TESTDATA_WEATHERIMPORT_1_JSON),
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"weatherimport_json": json.dumps(sample_import_1_json),
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},
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}
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}
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config_eos.merge_settings_from_dict(settings)
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provider = WeatherImport()
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assert provider.enabled() == True
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return provider
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@pytest.fixture
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def sample_import_1_json():
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"""Fixture that returns sample forecast data report."""
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with open(FILE_TESTDATA_WEATHERIMPORT_1_JSON, "r") as f_res:
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input_data = json.load(f_res)
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return input_data
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# ------------------------------------------------
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# General forecast
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# ------------------------------------------------
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def test_singleton_instance(weather_provider):
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"""Test that WeatherForecast behaves as a singleton."""
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another_instance = WeatherImport()
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assert weather_provider is another_instance
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def test_invalid_provider(weather_provider, config_eos, monkeypatch):
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"""Test requesting an unsupported weather_provider."""
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settings = {
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"weather": {
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"weather_provider": "<invalid>",
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"provider_settings": {
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"weatherimport_file_path": str(FILE_TESTDATA_WEATHERIMPORT_1_JSON),
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},
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}
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}
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config_eos.merge_settings_from_dict(settings)
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assert weather_provider.enabled() == False
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# ------------------------------------------------
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# Import
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# ------------------------------------------------
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@pytest.mark.parametrize(
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"start_datetime, from_file",
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[
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("2024-11-10 00:00:00", True), # No DST in Germany
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("2024-08-10 00:00:00", True), # DST in Germany
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("2024-03-31 00:00:00", True), # DST change in Germany (23 hours/ day)
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("2024-10-27 00:00:00", True), # DST change in Germany (25 hours/ day)
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("2024-11-10 00:00:00", False), # No DST in Germany
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("2024-08-10 00:00:00", False), # DST in Germany
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("2024-03-31 00:00:00", False), # DST change in Germany (23 hours/ day)
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("2024-10-27 00:00:00", False), # DST change in Germany (25 hours/ day)
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],
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)
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def test_import(weather_provider, sample_import_1_json, start_datetime, from_file, config_eos):
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"""Test fetching forecast from Import."""
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ems_eos = get_ems()
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ems_eos.set_start_datetime(to_datetime(start_datetime, in_timezone="Europe/Berlin"))
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if from_file:
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config_eos.weather.provider_settings.weatherimport_json = None
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assert config_eos.weather.provider_settings.weatherimport_json is None
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else:
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config_eos.weather.provider_settings.weatherimport_file_path = None
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assert config_eos.weather.provider_settings.weatherimport_file_path is None
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weather_provider.clear()
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# Call the method
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weather_provider.update_data()
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# Assert: Verify the result is as expected
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assert weather_provider.start_datetime is not None
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assert weather_provider.total_hours is not None
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assert compare_datetimes(weather_provider.start_datetime, ems_eos.start_datetime).equal
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values = sample_import_1_json["weather_temp_air"]
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value_datetime_mapping = weather_provider.import_datetimes(ems_eos.start_datetime, len(values))
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for i, mapping in enumerate(value_datetime_mapping):
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assert i < len(weather_provider.records)
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expected_datetime, expected_value_index = mapping
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expected_value = values[expected_value_index]
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result_datetime = weather_provider.records[i].date_time
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result_value = weather_provider.records[i]["weather_temp_air"]
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# print(f"{i}: Expected: {expected_datetime}:{expected_value}")
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# print(f"{i}: Result: {result_datetime}:{result_value}")
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assert compare_datetimes(result_datetime, expected_datetime).equal
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assert result_value == expected_value
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