import logging
from collections.abc import Callable
from pathlib import Path

import pandas as pd

from scripts.flux import CSVSource, Destination, Flux, consume_fluxes

logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)


def build_lots(dfs: list[pd.DataFrame]) -> pd.DataFrame:
    df = dfs[0]
    df = df.assign(
        Impact=df["Crédit"] - df["Débit"],
    )
    return df


def build_pnl(dfs: list[pd.DataFrame], year: int) -> pd.DataFrame:
    df = pd.concat(dfs)
    df = df[df["Année"] == year]
    pt = df.groupby(["Catégorie", "Mois"]).agg("sum").unstack().fillna(0)
    pt.columns = [c[1] for c in pt.columns]
    pt.reset_index(["Catégorie"])
    return pt


def build_pnl_flux(year: int) -> Flux:
    return Flux(
        sources=[
            CSVSource(filename=f"CRG/crg-{year}.csv"),
            CSVSource(filename=f"banque/banque-{year}.csv"),
        ],
        transformation=build_pnl,
        extra_kwrds={"year": year},
        destination=Destination(name=f"pnl/{year}"),
    )


if __name__ == "__main__":
    data_path = Path("datas/")
    assert data_path.exists()

    gold_path = data_path / "gold"
    assert gold_path.exists()
    gold_crg_path = gold_path / "CRG"
    assert gold_crg_path.exists()

    mart_path = data_path / "datamart"
    assert mart_path.exists()

    lot_fluxes = {
        "Lots": Flux(
            sources=[CSVSource(filename="CRG/crg-*.csv")],
            transformation=build_lots,
            destination=Destination(name="Lot/lot"),
            split_destination="Lot",
        ),
    }
    years = list(range(2017, 2024))
    # pnl_fluxes = {f"pnl-{year}": build_pnl_flux(year) for year in years}
    pnl_fluxes = {}

    files = consume_fluxes(
        fluxes={**lot_fluxes, **pnl_fluxes}, origin_path=gold_path, dest_path=mart_path
    )
    print(files)