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FAstAPI is an async framework. Data may be imported and exported, load and save, set and get asynchronously. Prevent interleaving data operations to corrupt the data. In the previous design sync and async data access was intermixed leading to data corruption. The basic data classes DataSequence and DataContainer and the derived classes like Provider and Measurement now are async. Data access is protected by several async locks. To support the async design of the data classes the database interface became async. The energy management is also adapted to the new async design. Optimization is still off-loaded to another thread, but the prepration for the optimization and the post optimization actions now follow the async design. Adapter operations are now also protected by async locks. Tests were adapted to the async design and new tests were created. Besides this major fix several other improvements and fixes are included in this PR. * fix: key_to_dict/list/array only regard data records with key value set. Before the exclusion of no value data records was only done if the dropna flag was set. * fix: test for visual result pdf generation Due to updates in the library the generated charts text was a little bit different. Adapt the test to create the comaprison pdf in the test data durectory and update the reference pdf. * chore: Remove MutableMapping from DataSequence and DataContainer. Mutable Mapping does not fit to the now async design. * chore: Add NoDB database backend This backend implements the full database backend interface but performs no actual persistence. It is intended for configurations where database persistence is disabled (`provider=None`). * chore: Improve measurement data import testing with real world scenarios. Added two new endpoints to support testing. * chore: Add mermaid to supported documentation tools * chore: Add documentation about async design * chore: Add documentation about generic data handling Covers the basics of measurement and prediction time series data handling. * chore: Add empty lines around markdown lists. * chore: sync pre-commit config to updated package versions Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
195 lines
6.2 KiB
Python
195 lines
6.2 KiB
Python
import json
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from pathlib import Path
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from unittest.mock import Mock, patch
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import pandas as pd
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import pytest
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from akkudoktoreos.core.cache import CacheFileStore
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from akkudoktoreos.core.coreabc import get_ems
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from akkudoktoreos.prediction.weatherbrightsky import WeatherBrightSky
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from akkudoktoreos.utils.datetimeutil import to_datetime
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DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
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FILE_TESTDATA_WEATHERBRIGHTSKY_1_JSON = DIR_TESTDATA.joinpath("weatherforecast_brightsky_1.json")
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FILE_TESTDATA_WEATHERBRIGHTSKY_2_JSON = DIR_TESTDATA.joinpath("weatherforecast_brightsky_2.json")
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@pytest.fixture
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def provider(monkeypatch):
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"""Fixture to create a WeatherProvider instance."""
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monkeypatch.setenv("EOS_WEATHER__WEATHER_PROVIDER", "BrightSky")
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monkeypatch.setenv("EOS_GENERAL__LATITUDE", "50.0")
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monkeypatch.setenv("EOS_GENERAL__LONGITUDE", "10.0")
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return WeatherBrightSky()
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@pytest.fixture
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def sample_brightsky_1_json():
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"""Fixture that returns sample forecast data report."""
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with FILE_TESTDATA_WEATHERBRIGHTSKY_1_JSON.open("r", encoding="utf-8", newline=None) as f_res:
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input_data = json.load(f_res)
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return input_data
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@pytest.fixture
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def sample_brightsky_2_json():
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"""Fixture that returns sample forecast data report."""
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with FILE_TESTDATA_WEATHERBRIGHTSKY_2_JSON.open("r", encoding="utf-8", newline=None) as f_res:
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input_data = json.load(f_res)
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return input_data
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@pytest.fixture
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def cache_store():
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"""A pytest fixture that creates a new CacheFileStore instance for testing."""
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return CacheFileStore()
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# ------------------------------------------------
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# General forecast
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# ------------------------------------------------
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def test_singleton_instance(provider):
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"""Test that WeatherForecast behaves as a singleton."""
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another_instance = WeatherBrightSky()
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assert provider is another_instance
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def test_invalid_provider(provider, monkeypatch):
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"""Test requesting an unsupported provider."""
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monkeypatch.setenv("EOS_WEATHER__WEATHER_PROVIDER", "<invalid>")
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provider.config.reset_settings()
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assert not provider.enabled()
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def test_invalid_coordinates(provider, monkeypatch):
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"""Test invalid coordinates raise ValueError."""
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monkeypatch.setenv("EOS_GENERAL__LATITUDE", "1000")
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monkeypatch.setenv("EOS_GENERAL__LONGITUDE", "1000")
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with pytest.raises(
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ValueError, # match="Latitude '1000' and/ or longitude `1000` out of valid range."
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):
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provider.config.reset_settings()
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# ------------------------------------------------
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# Irradiance caclulation
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# ------------------------------------------------
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def test_irridiance_estimate_from_cloud_cover(provider):
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"""Test cloud cover to irradiance estimation."""
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cloud_cover_data = pd.Series(
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data=[20, 50, 80], index=pd.date_range("2023-10-22", periods=3, freq="h")
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)
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ghi, dni, dhi = provider.estimate_irradiance_from_cloud_cover(50.0, 10.0, cloud_cover_data)
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assert ghi == [0, 0, 0]
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assert dhi == [0, 0, 0]
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assert dni == [0, 0, 0]
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# ------------------------------------------------
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# BrightSky
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# ------------------------------------------------
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@patch("requests.get")
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def test_request_forecast(mock_get, provider, sample_brightsky_1_json):
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"""Test requesting forecast from BrightSky."""
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# Mock response object
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mock_response = Mock()
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mock_response.status_code = 200
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mock_response.content = json.dumps(sample_brightsky_1_json)
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mock_get.return_value = mock_response
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# Test function
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brightsky_data = provider._request_forecast()
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assert isinstance(brightsky_data, dict)
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assert brightsky_data["weather"][0] == {
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"timestamp": "2024-10-26T00:00:00+02:00",
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"source_id": 46567,
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"precipitation": 0.0,
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"pressure_msl": 1022.9,
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"sunshine": 0.0,
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"temperature": 6.2,
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"wind_direction": 40,
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"wind_speed": 4.7,
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"cloud_cover": 100,
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"dew_point": 5.8,
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"relative_humidity": 97,
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"visibility": 140,
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"wind_gust_direction": 70,
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"wind_gust_speed": 11.9,
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"condition": "dry",
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"precipitation_probability": None,
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"precipitation_probability_6h": None,
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"solar": None,
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"fallback_source_ids": {
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"wind_gust_speed": 219419,
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"pressure_msl": 219419,
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"cloud_cover": 219419,
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"wind_gust_direction": 219419,
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"wind_direction": 219419,
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"wind_speed": 219419,
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"sunshine": 219419,
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"visibility": 219419,
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},
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"icon": "cloudy",
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}
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@pytest.mark.asyncio
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@patch("requests.get")
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async def test_update_data(mock_get, provider, sample_brightsky_1_json, cache_store):
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"""Test fetching forecast from BrightSky."""
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# Mock response object
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mock_response = Mock()
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mock_response.status_code = 200
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mock_response.content = json.dumps(sample_brightsky_1_json)
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mock_get.return_value = mock_response
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cache_store.clear(clear_all=True)
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# Call the method
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ems_eos = get_ems()
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ems_eos.set_start_datetime(to_datetime("2024-10-26 00:00:00", in_timezone="Europe/Berlin"))
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await provider.update_data(force_enable=True, force_update=True)
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# Assert: Verify the result is as expected
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mock_get.assert_called_once()
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assert len(provider) == 50
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# ------------------------------------------------
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# Development BrightSky
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# ------------------------------------------------
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@pytest.mark.asyncio
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async def test_brightsky_development_forecast_data(provider, config_eos, is_system_test):
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"""Fetch data from real BrightSky server."""
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if not is_system_test:
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return
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# Preset, as this is usually done by update_data()
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ems_eos = get_ems()
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ems_eos.set_start_datetime(to_datetime("2024-10-26 00:00:00", in_timezone="Europe/Berlin"))
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config_eos.general.latitude = 50.0
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config_eos.general.longitude = 10.0
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brightsky_data = provider._request_forecast()
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with FILE_TESTDATA_WEATHERBRIGHTSKY_1_JSON.open("w", encoding="utf-8", newline="\n") as f_out:
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json.dump(brightsky_data, f_out, indent=4)
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await provider.update_data(force_enable=True, force_update=True)
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with FILE_TESTDATA_WEATHERBRIGHTSKY_2_JSON.open("w", encoding="utf-8", newline="\n") as f_out:
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f_out.write(provider.model_dump_json(indent=4))
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