EOS/tests/test_elecpriceakkudoktor.py
Bobby Noelte bd38b3c5ef
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fix: logging, prediction update, multiple bugs (#584)
* Fix logging configuration issues that made logging stop operation. Switch to Loguru
  logging (from Python logging). Enable console and file logging with different log levels.
  Add logging documentation.

* Fix logging configuration and EOS configuration out of sync. Added tracking support
  for nested value updates of Pydantic models. This used to update the logging configuration
  when the EOS configurationm for logging is changed. Should keep logging config and EOS
  config in sync as long as all changes to the EOS logging configuration are done by
  set_nested_value(), which is the case for the REST API.

* Fix energy management task looping endlessly after the second update when trying to update
  the last_update datetime.

* Fix get_nested_value() to correctly take values from the dicts in a Pydantic model instance.

* Fix usage of model classes instead of model instances in nested value access when evaluation
  the value type that is associated to each key.

* Fix illegal json format in prediction documentation for PVForecastAkkudoktor provider.

* Fix documentation qirks and add EOS Connect to integrations.

* Support deprecated fields in configuration in documentation generation and EOSdash.

* Enhance EOSdash demo to show BrightSky humidity data (that is often missing)

* Update documentation reference to German EOS installation videos.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2025-06-10 22:00:28 +02:00

215 lines
7.1 KiB
Python

import json
from pathlib import Path
from unittest.mock import Mock, patch
import numpy as np
import pytest
import requests
from loguru import logger
from akkudoktoreos.core.cache import CacheFileStore
from akkudoktoreos.core.ems import get_ems
from akkudoktoreos.prediction.elecpriceakkudoktor import (
AkkudoktorElecPrice,
AkkudoktorElecPriceValue,
ElecPriceAkkudoktor,
)
from akkudoktoreos.utils.datetimeutil import to_datetime
DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
FILE_TESTDATA_ELECPRICEAKKUDOKTOR_1_JSON = DIR_TESTDATA.joinpath(
"elecpriceforecast_akkudoktor_1.json"
)
@pytest.fixture
def provider(monkeypatch, config_eos):
"""Fixture to create a ElecPriceProvider instance."""
monkeypatch.setenv("EOS_ELECPRICE__ELECPRICE_PROVIDER", "ElecPriceAkkudoktor")
config_eos.reset_settings()
return ElecPriceAkkudoktor()
@pytest.fixture
def sample_akkudoktor_1_json():
"""Fixture that returns sample forecast data report."""
with FILE_TESTDATA_ELECPRICEAKKUDOKTOR_1_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 ElecPriceForecast behaves as a singleton."""
another_instance = ElecPriceAkkudoktor()
assert provider is another_instance
def test_invalid_provider(provider, monkeypatch):
"""Test requesting an unsupported provider."""
monkeypatch.setenv("EOS_ELECPRICE__ELECPRICE_PROVIDER", "<invalid>")
provider.config.reset_settings()
assert not provider.enabled()
# ------------------------------------------------
# Akkudoktor
# ------------------------------------------------
@patch("akkudoktoreos.prediction.elecpriceakkudoktor.logger.error")
def test_validate_data_invalid_format(mock_logger, provider):
"""Test validation for invalid Akkudoktor data."""
invalid_data = '{"invalid": "data"}'
with pytest.raises(ValueError):
provider._validate_data(invalid_data)
mock_logger.assert_called_once_with(mock_logger.call_args[0][0])
@patch("requests.get")
def test_request_forecast(mock_get, provider, sample_akkudoktor_1_json):
"""Test requesting forecast from Akkudoktor."""
# Mock response object
mock_response = Mock()
mock_response.status_code = 200
mock_response.content = json.dumps(sample_akkudoktor_1_json)
mock_get.return_value = mock_response
# Test function
akkudoktor_data = provider._request_forecast()
assert isinstance(akkudoktor_data, AkkudoktorElecPrice)
assert akkudoktor_data.values[0].model_dump() == AkkudoktorElecPriceValue(
start_timestamp=1733785200000,
end_timestamp=1733788800000,
start="2024-12-09T23:00:00.000Z",
end="2024-12-10T00:00:00.000Z",
marketprice=92.85,
unit="Eur/MWh",
marketpriceEurocentPerKWh=9.29,
).model_dump()
@patch("requests.get")
def test_update_data(mock_get, provider, sample_akkudoktor_1_json, cache_store):
"""Test fetching forecast from Akkudoktor."""
# Mock response object
mock_response = Mock()
mock_response.status_code = 200
mock_response.content = json.dumps(sample_akkudoktor_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("2024-12-11 00:00:00", in_timezone="Europe/Berlin"))
provider.update_data(force_enable=True, force_update=True)
# Assert: Verify the result is as expected
mock_get.assert_called_once()
assert (
len(provider) == 73
) # we have 48 datasets in the api response, we want to know 48h into the future. The data we get has already 23h into the future so we need only 25h more. 48+25=73
# Assert we get hours prioce values by resampling
np_price_array = provider.key_to_array(
key="elecprice_marketprice_wh",
start_datetime=provider.start_datetime,
end_datetime=provider.end_datetime,
)
assert len(np_price_array) == provider.total_hours
# with open(FILE_TESTDATA_ELECPRICEAKKUDOKTOR_2_JSON, "w") as f_out:
# f_out.write(provider.to_json())
@patch("requests.get")
def test_update_data_with_incomplete_forecast(mock_get, provider):
"""Test `_update_data` with incomplete or missing forecast data."""
incomplete_data: dict = {"meta": {}, "values": []}
mock_response = Mock()
mock_response.status_code = 200
mock_response.content = json.dumps(incomplete_data)
mock_get.return_value = mock_response
logger.info("The following errors are intentional and part of the test.")
with pytest.raises(ValueError):
provider._update_data(force_update=True)
@pytest.mark.parametrize(
"status_code, exception",
[(400, requests.exceptions.HTTPError), (500, requests.exceptions.HTTPError), (200, None)],
)
@patch("requests.get")
def test_request_forecast_status_codes(
mock_get, provider, sample_akkudoktor_1_json, status_code, exception
):
"""Test handling of various API status codes."""
mock_response = Mock()
mock_response.status_code = status_code
mock_response.content = json.dumps(sample_akkudoktor_1_json)
mock_response.raise_for_status.side_effect = (
requests.exceptions.HTTPError if exception else None
)
mock_get.return_value = mock_response
if exception:
with pytest.raises(exception):
provider._request_forecast()
else:
provider._request_forecast()
@patch("akkudoktoreos.core.cache.CacheFileStore")
def test_cache_integration(mock_cache, provider):
"""Test caching of 8-day electricity price data."""
mock_cache_instance = mock_cache.return_value
mock_cache_instance.get.return_value = None # Simulate no cache
provider._update_data(force_update=True)
mock_cache_instance.create.assert_called_once()
mock_cache_instance.get.assert_called_once()
def test_key_to_array_resampling(provider):
"""Test resampling of forecast data to NumPy array."""
provider.update_data(force_update=True)
array = provider.key_to_array(
key="elecprice_marketprice_wh",
start_datetime=provider.start_datetime,
end_datetime=provider.end_datetime,
)
assert isinstance(array, np.ndarray)
assert len(array) == provider.total_hours
# ------------------------------------------------
# Development Akkudoktor
# ------------------------------------------------
@pytest.mark.skip(reason="For development only")
def test_akkudoktor_development_forecast_data(provider):
"""Fetch data from real Akkudoktor server."""
# Preset, as this is usually done by update_data()
provider.start_datetime = to_datetime("2024-10-26 00:00:00")
akkudoktor_data = provider._request_forecast()
with FILE_TESTDATA_ELECPRICEAKKUDOKTOR_1_JSON.open(
"w", encoding="utf-8", newline="\n"
) as f_out:
json.dump(akkudoktor_data, f_out, indent=4)