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fa542e0fb9
Roh-Kombinationen statt Rezept-Sprache; Zutaten suchen, EL/TL/Prise auf Gramm. Gekochte Gerichte und Ausbeute bleiben Tandoor. Co-authored-by: Cursor <cursoragent@cursor.com>
90 lines
3.5 KiB
Python
90 lines
3.5 KiB
Python
from datetime import date
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from csv_parser.executor import guess_nutrition_item_fields
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from data_layer.food_mapping import (
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filter_unmapped_since,
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list_quantity_units,
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merge_unmapped_rows,
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normalize_food_name,
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parse_quantity,
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parse_quantity_g,
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primary_search_query,
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resolve_quantity,
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)
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from data_layer.nutrition_items import macros_differ
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def test_primary_query_keeps_decimal_comma():
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assert primary_search_query("Joghurt 9,5%") == "Joghurt 9,5%"
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assert primary_search_query("Joghurt, aus Kuhmilch") == "Joghurt"
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def test_normalize_strips_leading_quantity():
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assert normalize_food_name("50 g Hähnchen") == "hähnchen"
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assert normalize_food_name(" Vollmilch 3,5% ") == "vollmilch 3.5%"
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assert normalize_food_name("1 ml Olivenöl") == normalize_food_name("2 ml Olivenöl") == "olivenöl"
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def test_merge_unmapped_collapses_quantity_variants():
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rows = merge_unmapped_rows([
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{"source_name_raw": "1 ml Olivenöl", "source_name_normalized": "1 ml olivenöl", "count": 3, "kind": "diary"},
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{"source_name_raw": "2 ml Olivenöl", "source_name_normalized": "2 ml olivenöl", "count": 1, "kind": "diary"},
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])
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assert len(rows) == 1
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assert rows[0]["source_name_normalized"] == "olivenöl"
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assert rows[0]["count"] == 4
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assert rows[0]["source_name_raw"].lower() == "olivenöl"
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def test_parse_quantity_g():
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assert parse_quantity_g("150 g") == 150.0
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assert parse_quantity_g("150") == 150.0
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assert parse_quantity_g("1 kg") == 1000.0
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assert parse_quantity_g("5 ml") == 5.0
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assert parse_quantity_g("1 Stück") is None
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assert parse_quantity_g("1 Stück", 60) == 60.0
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assert parse_quantity_g("2 EL") == 30.0
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assert parse_quantity("1 Scheibe")["needs_unit_map"] is True
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assert parse_quantity("2 EL")["unit"] == "el"
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def test_resolve_quantity_household_units():
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two_tl = resolve_quantity(quantity_amount=2, source_unit="tl")
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assert two_tl["quantity_g"] == 10.0
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assert two_tl["quantity_raw"] == "2 TL"
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pinch = resolve_quantity(quantity_amount=1, source_unit="prise")
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assert pinch["quantity_g"] == 0.3
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slice_ = resolve_quantity(quantity_amount=1, source_unit="stück")
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assert slice_["quantity_g"] is None
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assert slice_["needs_unit_map"] is True
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assert resolve_quantity(quantity_amount=1, source_unit="stück", grams_per_unit=60)["quantity_g"] == 60.0
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ids = [u["id"] for u in list_quantity_units()]
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assert "tl" in ids and "prise" in ids
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def test_guess_fddb_bezeichnung_without_template_mapping():
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name, qty = guess_nutrition_item_fields({
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"bezeichnung": "50 g Hähnchen",
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"menge": "50 g",
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"kj": "800",
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})
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assert name == "50 g Hähnchen"
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assert qty == "50 g"
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def test_recent_window_drops_old_and_dateless_foods():
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today = date(2026, 9, 12)
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rows = [
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{"source_name_raw": "Haferflocken", "last_date": "2026-09-10", "count": 2},
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{"source_name_raw": "Weißbrot", "last_date": "2026-01-02", "count": 40},
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{"source_name_raw": "Altes Rezept-Salz", "last_date": None, "count": 1},
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]
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recent = filter_unmapped_since(rows, 28, today=today)
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assert [r["source_name_raw"] for r in recent] == ["Haferflocken"]
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assert len(filter_unmapped_since(rows, 0, today=today)) == 3
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def test_macros_differ_rounds():
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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})
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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})
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