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* Update utilities in utils submodule. * Add base configuration modules. * Add server base configuration modules. * Add devices base configuration modules. * Add optimization base configuration modules. * Add utils base configuration modules. * Add prediction abstract and base classes plus tests. * Add PV forecast to prediction submodule. The PV forecast modules are adapted from the class_pvforecast module and replace it. * Add weather forecast to prediction submodule. The modules provide classes and methods to retrieve, manage, and process weather forecast data from various sources. Includes are structured representations of weather data and utilities for fetching forecasts for specific locations and time ranges. BrightSky and ClearOutside are currently supported. * Add electricity price forecast to prediction submodule. * Adapt fastapi server to base config and add fasthtml server. * Add ems to core submodule. * Adapt genetic to config. * Adapt visualize to config. * Adapt common test fixtures to config. * Add load forecast to prediction submodule. * Add core abstract and base classes. * Adapt single test optimization to config. * Adapt devices to config. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
111 lines
4.1 KiB
Python
111 lines
4.1 KiB
Python
import json
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from pathlib import Path
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import pytest
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from akkudoktoreos.config.config import get_config
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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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config_eos = get_config()
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ems_eos = get_ems()
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@pytest.fixture
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def weather_provider(reset_config, sample_import_1_json):
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"""Fixture to create a WeatherProvider instance."""
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settings = {
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"weather_provider": "WeatherImport",
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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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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, monkeypatch):
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"""Test requesting an unsupported weather_provider."""
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settings = {
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"weather_provider": "<invalid>",
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"weatherimport_file_path": str(FILE_TESTDATA_WEATHERIMPORT_1_JSON),
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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):
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"""Test fetching forecast from Import."""
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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.weatherimport_json = None
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assert config_eos.weatherimport_json is None
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else:
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config_eos.weatherimport_file_path = None
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assert config_eos.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(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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