Avoid using temporary files

import csv

import subprocess

from pathlib import Path

from typing import Sequence

from tempfile import NamedTemporaryFile

from collections.abc import Sequence, Iterable

from .BudgetPlan import BudgetPlan

    return len(row) >= 3 and row[0] and row[1] and row[2]

def load_csv(csv_path: Path | str) -> BudgetPlan:

    with open(csv_path, newline="") as f:

        reader = csv.reader(f)

def _load_csv_lines(csv_lines: Iterable[str]) -> BudgetPlan:

    reader = csv.reader(csv_lines)

    items = [

        BudgetaryItem(id=row[0], name=row[1], amount=parse_euro_amount(row[2]))

        for row in reader

    return BudgetPlan({item.id: item for item in items})

def load_csv(csv_path: Path | str) -> BudgetPlan:

    with open(csv_path, newline="") as f:

        return _load_csv_lines(f)

def load_pdf(pdf_path: Path | str) -> BudgetPlan:

    if isinstance(pdf_path, str):

        pdf_path = Path(pdf_path)

    with NamedTemporaryFile() as f:

        print(f.name)

        subprocess.run(

    result = subprocess.run(

        [

            "tabula",

            pdf_path.absolute(),

            "--pages",

            "all",

                "--out",

                f.name,

            "--lattice",

            ]

        ],

        check=True,

        capture_output=True,

        encoding="utf-8",

    )

        return load_csv(f.name)

    return _load_csv_lines(result.stdout.split("\n"))