runtimequestion 163 Nested Data Structures · easy
Allergen counts across a range
A shop wants to know how many of its products contain each allergen. Open Food Facts lists allergens per product as tags like "en:gluten", and leaves the list out when it has none.
Function
allergen_counts(products)productsdictionaries that may have
"allergens_tags": a list of texts like "en:milk"Returns
{allergen: number of products} with the "en:" prefix removed, in the order allergens are first metRulesa product without
allergens_tags contributes nothing; a tag without the en: prefix is kept as it isExamples
callallergen_counts([{'code': '5010029000023', 'brands': ['Weetabix'], 'nutriments': {'energy-kcal_100g': 362, 'sugars_100g': 4.4, 'fiber_100g': 10}, 'allergens_tags': ['en:gluten']}, {'code': '7394376616228', 'brands': ['Oatly'], 'nutriments': {'sugars_100g': 4}, 'allergens_tags': ['en:gluten', 'en:oats']}, {'code': '0070470003023', 'brands': ['Yoplait'], 'nutriments': {'sugars_100g': 11.5}, 'allergens_tags': ['en:milk']}, {'code': '0028400090896', 'brands': ["Lay's"], 'nutriments': {}}])returns{'gluten': 2, 'oats': 1, 'milk': 1}
callallergen_counts([{'code': '0028400090896', 'brands': ["Lay's"], 'nutriments': {}}])returns{}
callallergen_counts([{'code': '0070470003023', 'brands': ['Yoplait'], 'nutriments': {'sugars_100g': 11.5}, 'allergens_tags': ['en:milk']}, {'code': '0070470003023', 'brands': ['Yoplait'], 'nutriments': {'sugars_100g': 11.5}, 'allergens_tags': ['en:milk']}])returns{'milk': 2}