import re
from datetime import datetime
from pathlib import Path

import plac

MIN_AGE = datetime.now().timestamp() - 12 * 60 * 60


def csv_cleanup(dirname: str = "misc/data"):
    if Path(dirname).is_file():
        csv_cleanup_file(Path(dirname))
    else:
        for csv_file in Path(dirname).glob("*.csv"):
            csv_cleanup_file(csv_file)


def csv_cleanup_file(csv_file: Path):
    temp_file = Path(str(csv_file) + ".tmp")
    if csv_file.stat().st_mtime < MIN_AGE:
        return
    print(csv_file.name)
    with open(csv_file, "r", encoding="latin-1") as frh:
        with open(temp_file, "w", encoding="latin-1") as fwh:
            while True:
                buffer = frh.read(10_000)
                fwh.write(re.sub(r'(?<!")\r?\n', "", buffer))
                if buffer == "":
                    break

    csv_file.unlink()
    temp_file.rename(csv_file)


if __name__ == "__main__":
    plac.call(csv_cleanup)