20 lines
667 B
Python
20 lines
667 B
Python
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from data_layer.food_attributes import macros_and_attributes_to_values, scale_to_per_100g
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def test_scale_serving_to_per_100g():
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assert scale_to_per_100g(1.1, 8) == 1.1 * (100 / 8)
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assert scale_to_per_100g(10, 100) == 10
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assert scale_to_per_100g(10, None) == 10
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def test_norsan_label_epa_converts():
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"""Etikett: 1100 mg EPA = 1.1 g in 8 g Portion → g/100 g."""
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vals = macros_and_attributes_to_values(
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{"kcal": 72, "protein_g": 0, "fat_g": 8, "carbs_g": 0},
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{"EPA": 1.1},
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serving_g=8,
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)
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assert abs(vals["FAT"] - 100) < 0.01
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assert abs(vals["EPA"] - 13.75) < 0.01
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assert abs(vals["ENERCC"] - 900) < 0.01
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