# -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: : 2020-2023 The PyPSA-Eur Authors
#
# SPDX-License-Identifier: MIT
"""
Distribute country-level energy demands by population.
"""

import pandas as pd
from _helpers import set_scenario_config

if __name__ == "__main__":
    if "snakemake" not in globals():
        from _helpers import mock_snakemake

        snakemake = mock_snakemake(
            "build_population_weighted_energy_totals",
            simpl="",
            clusters=48,
        )
    set_scenario_config(snakemake)

    pop_layout = pd.read_csv(snakemake.input.clustered_pop_layout, index_col=0)

    energy_totals = pd.read_csv(snakemake.input.energy_totals, index_col=0)

    nodal_energy_totals = energy_totals.loc[pop_layout.ct].fillna(0.0)
    nodal_energy_totals.index = pop_layout.index
    nodal_energy_totals = nodal_energy_totals.multiply(pop_layout.fraction, axis=0)

    nodal_energy_totals.to_csv(snakemake.output[0])