Files
EOS/tests/test_weatherbrightsky.py
Bobby Noelte eb9e966de9 fix: move data management to async (#1015)
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>
2026-07-15 16:38:53 +02:00

195 lines
6.2 KiB
Python

import json
from pathlib import Path
from unittest.mock import Mock, patch
import pandas as pd
import pytest
from akkudoktoreos.core.cache import CacheFileStore
from akkudoktoreos.core.coreabc import get_ems
from akkudoktoreos.prediction.weatherbrightsky import WeatherBrightSky
from akkudoktoreos.utils.datetimeutil import to_datetime
DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
FILE_TESTDATA_WEATHERBRIGHTSKY_1_JSON = DIR_TESTDATA.joinpath("weatherforecast_brightsky_1.json")
FILE_TESTDATA_WEATHERBRIGHTSKY_2_JSON = DIR_TESTDATA.joinpath("weatherforecast_brightsky_2.json")
@pytest.fixture
def provider(monkeypatch):
"""Fixture to create a WeatherProvider instance."""
monkeypatch.setenv("EOS_WEATHER__WEATHER_PROVIDER", "BrightSky")
monkeypatch.setenv("EOS_GENERAL__LATITUDE", "50.0")
monkeypatch.setenv("EOS_GENERAL__LONGITUDE", "10.0")
return WeatherBrightSky()
@pytest.fixture
def sample_brightsky_1_json():
"""Fixture that returns sample forecast data report."""
with FILE_TESTDATA_WEATHERBRIGHTSKY_1_JSON.open("r", encoding="utf-8", newline=None) as f_res:
input_data = json.load(f_res)
return input_data
@pytest.fixture
def sample_brightsky_2_json():
"""Fixture that returns sample forecast data report."""
with FILE_TESTDATA_WEATHERBRIGHTSKY_2_JSON.open("r", encoding="utf-8", newline=None) as f_res:
input_data = json.load(f_res)
return input_data
@pytest.fixture
def cache_store():
"""A pytest fixture that creates a new CacheFileStore instance for testing."""
return CacheFileStore()
# ------------------------------------------------
# General forecast
# ------------------------------------------------
def test_singleton_instance(provider):
"""Test that WeatherForecast behaves as a singleton."""
another_instance = WeatherBrightSky()
assert provider is another_instance
def test_invalid_provider(provider, monkeypatch):
"""Test requesting an unsupported provider."""
monkeypatch.setenv("EOS_WEATHER__WEATHER_PROVIDER", "<invalid>")
provider.config.reset_settings()
assert not provider.enabled()
def test_invalid_coordinates(provider, monkeypatch):
"""Test invalid coordinates raise ValueError."""
monkeypatch.setenv("EOS_GENERAL__LATITUDE", "1000")
monkeypatch.setenv("EOS_GENERAL__LONGITUDE", "1000")
with pytest.raises(
ValueError, # match="Latitude '1000' and/ or longitude `1000` out of valid range."
):
provider.config.reset_settings()
# ------------------------------------------------
# Irradiance caclulation
# ------------------------------------------------
def test_irridiance_estimate_from_cloud_cover(provider):
"""Test cloud cover to irradiance estimation."""
cloud_cover_data = pd.Series(
data=[20, 50, 80], index=pd.date_range("2023-10-22", periods=3, freq="h")
)
ghi, dni, dhi = provider.estimate_irradiance_from_cloud_cover(50.0, 10.0, cloud_cover_data)
assert ghi == [0, 0, 0]
assert dhi == [0, 0, 0]
assert dni == [0, 0, 0]
# ------------------------------------------------
# BrightSky
# ------------------------------------------------
@patch("requests.get")
def test_request_forecast(mock_get, provider, sample_brightsky_1_json):
"""Test requesting forecast from BrightSky."""
# Mock response object
mock_response = Mock()
mock_response.status_code = 200
mock_response.content = json.dumps(sample_brightsky_1_json)
mock_get.return_value = mock_response
# Test function
brightsky_data = provider._request_forecast()
assert isinstance(brightsky_data, dict)
assert brightsky_data["weather"][0] == {
"timestamp": "2024-10-26T00:00:00+02:00",
"source_id": 46567,
"precipitation": 0.0,
"pressure_msl": 1022.9,
"sunshine": 0.0,
"temperature": 6.2,
"wind_direction": 40,
"wind_speed": 4.7,
"cloud_cover": 100,
"dew_point": 5.8,
"relative_humidity": 97,
"visibility": 140,
"wind_gust_direction": 70,
"wind_gust_speed": 11.9,
"condition": "dry",
"precipitation_probability": None,
"precipitation_probability_6h": None,
"solar": None,
"fallback_source_ids": {
"wind_gust_speed": 219419,
"pressure_msl": 219419,
"cloud_cover": 219419,
"wind_gust_direction": 219419,
"wind_direction": 219419,
"wind_speed": 219419,
"sunshine": 219419,
"visibility": 219419,
},
"icon": "cloudy",
}
@pytest.mark.asyncio
@patch("requests.get")
async def test_update_data(mock_get, provider, sample_brightsky_1_json, cache_store):
"""Test fetching forecast from BrightSky."""
# Mock response object
mock_response = Mock()
mock_response.status_code = 200
mock_response.content = json.dumps(sample_brightsky_1_json)
mock_get.return_value = mock_response
cache_store.clear(clear_all=True)
# Call the method
ems_eos = get_ems()
ems_eos.set_start_datetime(to_datetime("2024-10-26 00:00:00", in_timezone="Europe/Berlin"))
await provider.update_data(force_enable=True, force_update=True)
# Assert: Verify the result is as expected
mock_get.assert_called_once()
assert len(provider) == 50
# ------------------------------------------------
# Development BrightSky
# ------------------------------------------------
@pytest.mark.asyncio
async def test_brightsky_development_forecast_data(provider, config_eos, is_system_test):
"""Fetch data from real BrightSky server."""
if not is_system_test:
return
# Preset, as this is usually done by update_data()
ems_eos = get_ems()
ems_eos.set_start_datetime(to_datetime("2024-10-26 00:00:00", in_timezone="Europe/Berlin"))
config_eos.general.latitude = 50.0
config_eos.general.longitude = 10.0
brightsky_data = provider._request_forecast()
with FILE_TESTDATA_WEATHERBRIGHTSKY_1_JSON.open("w", encoding="utf-8", newline="\n") as f_out:
json.dump(brightsky_data, f_out, indent=4)
await provider.update_data(force_enable=True, force_update=True)
with FILE_TESTDATA_WEATHERBRIGHTSKY_2_JSON.open("w", encoding="utf-8", newline="\n") as f_out:
f_out.write(provider.model_dump_json(indent=4))