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Mapping bleibt erhalten, auch wenn der Nährwert-Rebuild länger dauert. Offene Liste führt 1 ml/2 ml Olivenöl als ein Lebensmittel. Dazu JSON-Sicherung, eigener Katalogeintrag und Gramm-pro-Einheit. Co-authored-by: Cursor <cursoragent@cursor.com>
48 lines
2.0 KiB
Python
48 lines
2.0 KiB
Python
from csv_parser.executor import guess_nutrition_item_fields
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from data_layer.food_mapping import merge_unmapped_rows, normalize_food_name, parse_quantity, parse_quantity_g
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from data_layer.nutrition_items import macros_differ
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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_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_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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