mitai-jinkendo/backend/tests/test_food_mapping.py

from csv_parser.executor import guess_nutrition_item_fields
from data_layer.food_mapping import normalize_food_name, parse_quantity_g
from data_layer.nutrition_items import macros_differ


def test_normalize_strips_leading_quantity():
    assert normalize_food_name("50 g Hähnchen") == "hähnchen"
    assert normalize_food_name("  Vollmilch  3,5% ") == "vollmilch 3.5%"


def test_parse_quantity_g():
    assert parse_quantity_g("150 g") == 150.0
    assert parse_quantity_g("150") == 150.0
    assert parse_quantity_g("1 Stück") is None


def test_guess_fddb_bezeichnung_without_template_mapping():
    name, qty = guess_nutrition_item_fields({
        "bezeichnung": "50 g Hähnchen",
        "menge": "50 g",
        "kj": "800",
    })
    assert name == "50 g Hähnchen"
    assert qty == "50 g"


def test_macros_differ_rounds():
    assert not macros_differ({"kcal": 1.04, "protein_g": 0, "fat_g": 0, "carbs_g": 0}, {"kcal": 1.0, "protein_g": 0, "fat_g": 0, "carbs_g": 0})
    assert macros_differ({"kcal": 10, "protein_g": 0, "fat_g": 0, "carbs_g": 0}, {"kcal": 11, "protein_g": 0, "fat_g": 0, "carbs_g": 0})