EOS/tests/test_feedintariffenergycharts.py

# ruff: noqa: S101

import json
from pathlib import Path
from unittest.mock import Mock, patch

import numpy as np
import pytest
import requests

from akkudoktoreos.core.coreabc import get_ems
from akkudoktoreos.prediction.elecpriceenergycharts import (
    ElecPriceEnergyCharts,
    EnergyChartsElecPrice,
)
from akkudoktoreos.prediction.feedintariffenergycharts import FeedInTariffEnergyCharts
from akkudoktoreos.utils.datetimeutil import to_datetime

DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")

FILE_TESTDATA_ELECPRICE_ENERGYCHARTS_JSON = DIR_TESTDATA.joinpath(
    "elecpriceforecast_energycharts.json"
)


@pytest.fixture
def provider(config_eos):
    config_eos.merge_settings_from_dict(
        {
            "feedintariff": {
                "provider": "FeedInTariffEnergyCharts",
                "energycharts": {"bidding_zone": "AT"},
            },
        }
    )
    provider = FeedInTariffEnergyCharts()
    provider.highest_orig_datetime = None
    provider.records.clear()
    assert provider.enabled()
    return provider


@pytest.fixture
def sample_energycharts_json():
    with FILE_TESTDATA_ELECPRICE_ENERGYCHARTS_JSON.open(
        "r", encoding="utf-8", newline=None
    ) as f_res:
        return json.load(f_res)


class TestFeedInTariffEnergyCharts:

    def test_provider_is_available(self, config_eos):
        assert "FeedInTariffEnergyCharts" in config_eos.feedintariff.providers


    def test_parse_data_uses_raw_market_price(self, provider, sample_energycharts_json):
        energy_charts_data = EnergyChartsElecPrice.model_validate(sample_energycharts_json)

        series = provider._parse_data(energy_charts_data)

        assert series.iloc[0] == pytest.approx(sample_energycharts_json["price"][0] / 1_000_000)


    @patch("requests.get")
    def test_request_forecast_uses_feedintariff_bidding_zone(
        self, mock_get, provider, sample_energycharts_json
    ):
        mock_response = Mock()
        mock_response.status_code = 200
        mock_response.content = json.dumps(sample_energycharts_json)
        mock_get.return_value = mock_response
        get_ems().set_start_datetime(to_datetime("2024-12-11 00:00:00", in_timezone="Europe/Berlin"))

        provider._request_forecast(start_date="2024-12-10", force_update=True)

        actual_url = mock_get.call_args[0][0]
        assert "bzn=AT" in actual_url

    @pytest.mark.asyncio
    async def test_update_data_keeps_quarter_hour_resolution(self, provider):
        start = to_datetime("2025-01-15 00:00:00", in_timezone="Europe/Berlin")
        get_ems().set_start_datetime(start)
        raw_slots = provider.config.prediction.hours * 2
        energy_charts_data = EnergyChartsElecPrice(
            license_info="",
            unix_seconds=[int(start.add(minutes=15 * i).timestamp()) for i in range(raw_slots)],
            price=[100.0] * raw_slots,
            unit="EUR/MWh",
            deprecated=False,
        )

        with patch.object(provider, "_request_forecast", return_value=energy_charts_data):
            await provider._update_data(force_update=True)

        result = await provider.key_to_raw_series(
            key="feed_in_tariff_wh",
            start_datetime=start,
            end_datetime=start.add(hours=provider.config.prediction.hours),
        )
        assert len(result) == provider.config.prediction.hours * 4
        assert result.index.to_series().diff().dropna().dt.total_seconds().unique().tolist() == [900.0]

    @pytest.mark.asyncio
    async def test_repeated_updates_keep_ets_history_and_honor_force_update(self, provider):
        """A later update must retain ETS history and a forced update must fetch again."""
        start = to_datetime(in_timezone="Europe/Berlin").start_of("day")
        get_ems().set_start_datetime(start)
        provider.config.prediction.hours = 72

        raw_start = start.subtract(days=35)
        raw_end = start.add(days=2)
        raw_slots = int((raw_end - raw_start).total_seconds() // 900) + 1
        energy_charts_data = EnergyChartsElecPrice(
            license_info="",
            unix_seconds=[int(raw_start.add(minutes=15 * i).timestamp()) for i in range(raw_slots)],
            price=[50.0 + float(i % 96) for i in range(raw_slots)],
            unit="EUR/MWh",
            deprecated=False,
        )

        ets_history_lengths = []

        def fake_ets(history, seasonal_periods, hours):
            ets_history_lengths.append((len(history), seasonal_periods))
            return np.full(hours, 0.00005)

        with (
            patch.object(provider, "_request_forecast", return_value=energy_charts_data) as request,
            patch.object(ElecPriceEnergyCharts, "_predict_ets", side_effect=fake_ets),
            patch.object(
                ElecPriceEnergyCharts,
                "_predict_median",
                side_effect=AssertionError("median fallback must not be used"),
            ),
        ):
            await provider.update_data(force_enable=True, force_update=True)
            await provider.update_data(force_enable=True, force_update=False)

            # Raw prices already cover the Energy-Charts publication window, so the
            # second update reuses the retained 35-day history without another request.
            assert request.call_count == 1
            assert len(ets_history_lengths) == 2
            assert all(length > 800 * 4 for length, _ in ets_history_lengths)
            assert all(seasonal_periods == 168 * 4 for _, seasonal_periods in ets_history_lengths)

            await provider.update_data(force_enable=True, force_update=True)

        # force_update must bypass the provider's own "no update needed" decision.
        assert request.call_count == 2
        assert provider.historic_hours_min() == 24 * 35


    def test_request_forecast_retries_transient_errors(self, provider, sample_energycharts_json):
        """A transient timeout is retried; a later success is returned (Fix D)."""
        get_ems().set_start_datetime(to_datetime("2024-12-11 00:00:00", in_timezone="Europe/Berlin"))

        ok_response = Mock()
        ok_response.status_code = 200
        ok_response.content = json.dumps(sample_energycharts_json)
        ok_response.raise_for_status = Mock()

        with (
            patch("requests.get", side_effect=[requests.exceptions.ReadTimeout("t1"), ok_response]) as get_mock,
            patch("akkudoktoreos.prediction.feedintariffenergycharts.time.sleep", return_value=None),
        ):
            provider._request_forecast(start_date="2024-12-10", force_update=True)

        assert get_mock.call_count == 2

    @pytest.mark.asyncio
    async def test_update_data_falls_back_to_history_on_fetch_error(self, provider):
        """A transient fetch error must not abort the update when history exists (Fix A)."""
        start = to_datetime(in_timezone="Europe/Berlin").start_of("day")
        get_ems().set_start_datetime(start)
        provider.config.prediction.hours = 48

        raw_start = start.subtract(days=35)
        raw_slots = int((start.add(days=2) - raw_start).total_seconds() // 900) + 1
        energy_charts_data = EnergyChartsElecPrice(
            license_info="",
            unix_seconds=[int(raw_start.add(minutes=15 * i).timestamp()) for i in range(raw_slots)],
            price=[50.0 + float(i % 96) for i in range(raw_slots)],
            unit="EUR/MWh",
            deprecated=False,
        )

        def fake_predict(history, slots, slots_per_hour):
            return np.full(slots, 0.00005)

        with patch.object(provider, "_predict_prices", side_effect=fake_predict):
            # First: successful update seeds history and highest_orig_datetime.
            with patch.object(provider, "_request_forecast", return_value=energy_charts_data):
                await provider.update_data(force_enable=True, force_update=True)
            assert provider.highest_orig_datetime is not None
            last_good = provider.highest_orig_datetime

            # Second: API times out. With existing history the update must NOT raise
            # and the retained history must be kept.
            with patch.object(
                provider, "_request_forecast", side_effect=requests.exceptions.ReadTimeout("boom")
            ):
                await provider.update_data(force_enable=True, force_update=True)

        # Fix A: the update did not abort (we got here) and the retained history is
        # unchanged, so downstream consumers still receive a feed-in tariff series.
        assert provider.highest_orig_datetime == last_good

    @pytest.mark.asyncio
    async def test_update_data_cold_start_fetch_error_raises(self, provider):
        """Without any history a fetch error stays fatal (cold start)."""
        start = to_datetime(in_timezone="Europe/Berlin").start_of("day")
        get_ems().set_start_datetime(start)
        assert provider.highest_orig_datetime is None

        with patch.object(
            provider, "_request_forecast", side_effect=requests.exceptions.ReadTimeout("boom")
        ):
            with pytest.raises(requests.exceptions.ReadTimeout):
                await provider.update_data(force_enable=True, force_update=True)