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

import numpy as np
import pytest
import requests

from akkudoktoreos.core.ems import get_ems
from akkudoktoreos.prediction.elecpriceakkudoktor import (
    AkkudoktorElecPrice,
    AkkudoktorElecPriceValue,
    ElecPriceAkkudoktor,
)
from akkudoktoreos.utils.cacheutil import CacheFileStore
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 elecprice_provider(monkeypatch):
    """Fixture to create a ElecPriceProvider instance."""
    monkeypatch.setenv("elecprice_provider", "ElecPriceAkkudoktor")
    return ElecPriceAkkudoktor()


@pytest.fixture
def sample_akkudoktor_1_json():
    """Fixture that returns sample forecast data report."""
    with open(FILE_TESTDATA_ELECPRICEAKKUDOKTOR_1_JSON, "r") 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(elecprice_provider):
    """Test that ElecPriceForecast behaves as a singleton."""
    another_instance = ElecPriceAkkudoktor()
    assert elecprice_provider is another_instance


def test_invalid_provider(elecprice_provider, monkeypatch):
    """Test requesting an unsupported elecprice_provider."""
    monkeypatch.setenv("elecprice_provider", "<invalid>")
    elecprice_provider.config.update()
    assert elecprice_provider.enabled() == False


# ------------------------------------------------
# Akkudoktor
# ------------------------------------------------


@patch("akkudoktoreos.prediction.elecpriceakkudoktor.logger.error")
def test_validate_data_invalid_format(mock_logger, elecprice_provider):
    """Test validation for invalid Akkudoktor data."""
    invalid_data = '{"invalid": "data"}'
    with pytest.raises(ValueError):
        elecprice_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, elecprice_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

    # Preset, as this is usually done by update()
    elecprice_provider.config.update()

    # Test function
    akkudoktor_data = elecprice_provider._request_forecast()

    assert isinstance(akkudoktor_data, AkkudoktorElecPrice)
    assert akkudoktor_data.values[0] == 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,
    )


@patch("requests.get")
def test_update_data(mock_get, elecprice_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"))
    elecprice_provider.update_data(force_enable=True, force_update=True)

    # Assert: Verify the result is as expected
    mock_get.assert_called_once()
    assert (
        len(elecprice_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 prediction_hours prioce values by resampling
    np_price_array = elecprice_provider.key_to_array(
        key="elecprice_marketprice_wh",
        start_datetime=elecprice_provider.start_datetime,
        end_datetime=elecprice_provider.end_datetime,
    )
    assert len(np_price_array) == elecprice_provider.total_hours

    # with open(FILE_TESTDATA_ELECPRICEAKKUDOKTOR_2_JSON, "w") as f_out:
    #    f_out.write(elecprice_provider.to_json())


@patch("requests.get")
def test_update_data_with_incomplete_forecast(mock_get, elecprice_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
    with pytest.raises(ValueError):
        elecprice_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, elecprice_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):
            elecprice_provider._request_forecast()
    else:
        elecprice_provider._request_forecast()


@patch("akkudoktoreos.utils.cacheutil.CacheFileStore")
def test_cache_integration(mock_cache, elecprice_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
    elecprice_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(elecprice_provider):
    """Test resampling of forecast data to NumPy array."""
    elecprice_provider.update_data(force_update=True)
    array = elecprice_provider.key_to_array(
        key="elecprice_marketprice_wh",
        start_datetime=elecprice_provider.start_datetime,
        end_datetime=elecprice_provider.end_datetime,
    )
    assert isinstance(array, np.ndarray)
    assert len(array) == elecprice_provider.total_hours


# ------------------------------------------------
# Development Akkudoktor
# ------------------------------------------------


@pytest.mark.skip(reason="For development only")
def test_akkudoktor_development_forecast_data(elecprice_provider):
    """Fetch data from real Akkudoktor server."""
    # Preset, as this is usually done by update_data()
    elecprice_provider.start_datetime = to_datetime("2024-10-26 00:00:00")

    akkudoktor_data = elecprice_provider._request_forecast()

    with open(FILE_TESTDATA_ELECPRICEAKKUDOKTOR_1_JSON, "w") as f_out:
        json.dump(akkudoktor_data, f_out, indent=4)