Files
finanz-cockpit/tests/test_extract_categories.py
mathias2784 6babc560c7
Tests / test (push) Successful in 16s
Tests / lint (push) Successful in 16s
Category overhaul (#20)
Reviewed-on: #20
Co-authored-by: Mathias <mathias2784@web.de>
2026-10-27 18:08:10 +00:00

126 lines
4.1 KiB
Python

"""Tests for extract_categories.py - extracting unique categories from b4w CSV exports."""
import csv
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent / "scripts"))
from scripts.initial_load.categories.extract_categories import extract_unique_categories
def write_csv(path: Path, categories: list[str]) -> None:
with open(path, "w", encoding="utf-8") as f:
writer = csv.DictWriter(f, fieldnames=["Id", "AcctId", "Category"])
writer.writeheader()
for i, category in enumerate(categories, 1):
writer.writerow({"Id": str(i), "AcctId": "587713594", "Category": category})
def read_lines(path: Path) -> list[str]:
return path.read_text(encoding="utf-8").splitlines()
def test_extract_unique_categories_basic(tmp_path):
csv_file = tmp_path / "input.csv"
output_file = tmp_path / "categories.txt"
write_csv(csv_file, ["Girokonto:Lebenshaltung", "Girokonto:Sparen"])
result = extract_unique_categories(str(csv_file), str(output_file))
assert result == ["Girokonto:Lebenshaltung", "Girokonto:Sparen"]
assert read_lines(output_file) == ["Girokonto:Lebenshaltung", "Girokonto:Sparen"]
def test_extract_unique_categories_no_duplicates(tmp_path):
csv_file = tmp_path / "input.csv"
output_file = tmp_path / "categories.txt"
write_csv(
csv_file,
["Girokonto:Lebenshaltung", "Girokonto:Sparen", "Girokonto:Lebenshaltung"],
)
extract_unique_categories(str(csv_file), str(output_file))
assert len(read_lines(output_file)) == 2
def test_extract_unique_categories_output_format(tmp_path):
csv_file = tmp_path / "input.csv"
output_file = tmp_path / "categories.txt"
write_csv(
csv_file,
["Girokonto:Lebenshaltung", "Girokonto:Sparen", "Girokonto:Privat"],
)
extract_unique_categories(str(csv_file), str(output_file))
lines = read_lines(output_file)
assert len(lines) == 3
# Plain list: no numbering prefix, no blank lines.
assert all(line == line.strip() and not line[0].isdigit() for line in lines)
def test_extract_unique_categories_german_special_chars(tmp_path):
csv_file = tmp_path / "input.csv"
output_file = tmp_path / "categories.txt"
write_csv(
csv_file,
["Girokonto:Freizeit:Urlaub&Ausflüge", "Girokonto:Privat:Mitgliedsbeiträge"],
)
extract_unique_categories(str(csv_file), str(output_file))
assert read_lines(output_file) == [
"Girokonto:Freizeit:Urlaub&Ausflüge",
"Girokonto:Privat:Mitgliedsbeiträge",
]
def test_extract_unique_categories_handles_empty_csv(tmp_path):
csv_file = tmp_path / "input.csv"
output_file = tmp_path / "categories.txt"
csv_file.write_text("Id,AcctId,Category\n", encoding="utf-8")
extract_unique_categories(str(csv_file), str(output_file))
assert output_file.exists()
assert read_lines(output_file) == []
def test_extract_unique_categories_handles_csv_with_all_empty_categories(tmp_path):
csv_file = tmp_path / "input.csv"
output_file = tmp_path / "categories.txt"
csv_file.write_text(
"Id,AcctId,Category\n1,587713594,\n2,587713594,\n3,587713594,\n",
encoding="utf-8",
)
extract_unique_categories(str(csv_file), str(output_file))
assert read_lines(output_file) == []
def test_extract_unique_categories_rerun_is_idempotent(tmp_path):
csv_file = tmp_path / "input.csv"
output_file = tmp_path / "categories.txt"
write_csv(csv_file, ["Girokonto:Lebenshaltung", "Girokonto:Sparen"])
extract_unique_categories(str(csv_file), str(output_file))
first_run = read_lines(output_file)
# A new category appears in the CSV on the second run.
write_csv(
csv_file, ["Girokonto:Lebenshaltung", "Girokonto:Sparen", "Girokonto:Privat"]
)
extract_unique_categories(str(csv_file), str(output_file))
second_run = read_lines(output_file)
# Existing entries are merged, not duplicated; list stays sorted and plain.
assert second_run == [
"Girokonto:Lebenshaltung",
"Girokonto:Privat",
"Girokonto:Sparen",
]
assert first_run == ["Girokonto:Lebenshaltung", "Girokonto:Sparen"]