from pathlib import Path

from backend.condition.condition_trigger_request import ConditionFileType
from backend.condition.lookups.uprn_lookup_csv import UprnLookupLocal
from backend.condition.processor import process_file


def main() -> None:
    try:
        # Works in scripts / debugger / pytest
        ROOT_DIR = Path(__file__).resolve().parents[1]
    except NameError:
        # __file__ is not defined in notebooks
        ROOT_DIR = Path.cwd()

    path: Path = ROOT_DIR / "condition" / "sample_data"

    # TODO: get these from s3, maybe as part of devcontainer init
    lbwf_path: Path = path / "lbwf" / "LBWF - Example Asset Data September 2025.xlsx"
    peabody_path: Path = (
        path
        / "peabody"
        / "2026_01_06 - Peabody - Stock Condition Data - Survey Records - D  Lower.xlsx"
    )
    peabody_uprn_lookup_path: Path = (
        path / "peabody" / "PeabodyPropertymatched_Dec25_propref_UPRN.csv"
    )
    # filepaths = [lbwf_path, peabody_path]
    filepaths = [lbwf_path]
    # filepaths = [peabody_path]

    uprn_lookup = UprnLookupLocal(csv_path=peabody_uprn_lookup_path.as_posix())

    def get_file_type(file_path: str) -> ConditionFileType:
        if "peabody" in file_path:
            return ConditionFileType.Peabody
        if "lbwf" in file_path:
            return ConditionFileType.LBWF

    for fp in filepaths:
        with fp.open("rb") as f:
            process_file(
                file_stream=f,
                file_type=get_file_type(fp.as_posix()),
                uprn_lookup=uprn_lookup,
            )


if __name__ == "__main__":
    main()