From 378d387556729967534cbce8e29c5ee6d19b106e Mon Sep 17 00:00:00 2001 From: Sirin Puenggun Date: Thu, 11 May 2023 20:41:09 +0700 Subject: [PATCH] Del foodItem.py (No need to use) --- Essential/foodItem.py | 115 ------------------------------------------ 1 file changed, 115 deletions(-) delete mode 100644 Essential/foodItem.py diff --git a/Essential/foodItem.py b/Essential/foodItem.py deleted file mode 100644 index 3365bfc..0000000 --- a/Essential/foodItem.py +++ /dev/null @@ -1,115 +0,0 @@ -class foodItem(): - def __init__(self, row): - self.product_name = row['product_name'] - self.brands = row['brands'] - self.brands_tags = row['brands_tags'] - self.categories = row['categories'] - self.categories_tags = row['categories_tags'] - self.categories_en = row['categories_en'] - self.origins = row['origins'] - self.origins_tags = row['origins_tags'] - self.origins_en = row['origins_en'] - self.countries = row['countries'] - self.countries_tags = row['countries_tags'] - self.countries_en = row['countries_en'] - self.image_url = row['image_url'] - self.image_ingredients_url = row['image_ingredients_url'] - self.image_nutrition_url = row['image_nutrition_url'] - self.energy_kcal_100g = row['energy-kcal_100g'] - self.fat_100g = row['fat_100g'] - self.saturated_fat_100g = row['saturated-fat_100g'] - self.unsaturated_fat_100g = row['unsaturated-fat_100g'] - self.omega_3_fat_100g = row['omega-3-fat_100g'] - self.omega_6_fat_100g = row['omega-6-fat_100g'] - self.omega_9_fat_100g = row['omega-9-fat_100g'] - self.trans_fat_100g = row['trans-fat_100g'] - self.cholesterol_100g = row['cholesterol_100g'] - self.carbohydrates_100g = row['carbohydrates_100g'] - self.sugars_100g = row['sugars_100g'] - self.sucrose_100g = row['sucrose_100g'] - self.glucose_100g = row['glucose_100g'] - self.fructose_100g = row['fructose_100g'] - self.lactose_100g = row['lactose_100g'] - self.maltose_100g = row['maltose_100g'] - self.fiber_100g = row['fiber_100g'] - self.soluble_fiber_100g = row['soluble-fiber_100g'] - self.insoluble_fiber_100g = row['insoluble-fiber_100g'] - self.proteins_100g = row['proteins_100g'] - self.salt_100g = row['salt_100g'] - self.added_salt_100g = row['added-salt_100g'] - self.sodium_100g = row['sodium_100g'] - self.alcohol_100g = row['alcohol_100g'] - self.vitamin_a_100g = row['vitamin-a_100g'] - self.beta_carotene_100g = row['beta-carotene_100g'] - self.vitamin_d_100g = row['vitamin-d_100g'] - self.vitamin_e_100g = row['vitamin-e_100g'] - self.vitamin_k_100g = row['vitamin-k_100g'] - self.vitamin_c_100g = row['vitamin-c_100g'] - self.vitamin_b1_100g = row['vitamin-b1_100g'] - self.vitamin_b2_100g = row['vitamin-b2_100g'] - self.vitamin_pp_100g = row['vitamin-pp_100g'] - self.vitamin_b6_100g = row['vitamin-b6_100g'] - self.vitamin_b9_100g = row['vitamin-b1_100g'] - self.vitamin_b12_100g = row['vitamin-b12_100g'] - self.bicarbonate_100g = row['bicarbonate_100g'] - self.potassium_100g = row['potassium_100g'] - self.chloride_100g = row['chloride_100g'] - self.calcium_100g = row['calcium_100g'] - self.phosphorus_100g = row['phosphorus_100g'] - self.iron_100g = row['iron_100g'] - self.magnesium_100g = row['magnesium_100g'] - self.zinc_100g = row['zinc_100g'] - self.copper_100g = row['copper_100g'] - self.manganese_100g = row['manganese_100g'] - self.fluoride_100g = row['fluoride_100g'] - self.selenium_100g = row['selenium_100g'] - self.chromium_100g = row['chromium_100g'] - self.molybdenum_100g = row['molybdenum_100g'] - self.iodine_100g = row['iodine_100g'] - self.caffeine_100g = row['caffeine_100g'] - self.carbon_footprint_100g = row['carbon-footprint_100g'] - self.carbon_footprint_from_meat_or_fish_100g = row['carbon-footprint-from-meat-or-fish_100g'] - self.cocoa_100g = row['cocoa_100g'] - - def is_vegan(self): - if "meat" not in self.categories_en.lower() and "dairy" not in self.categories_en.lower(): - return True - else: - return False - - def nutrient_score_intl(self): - nutrient_factors = {'fat': 9, 'saturated_fat': 10, 'trans_fat': 10, 'cholesterol': 5, - 'sodium': 6, 'carbohydrates': 7, 'sugars': 6, 'fiber': 5, - 'proteins': 5, 'vitamin_a': 15, 'vitamin_c': 15, 'calcium': 10, - 'iron': 10} - - nutrient_scores = {} - for nutrient, factor in nutrient_factors.items(): - value = getattr(self, nutrient+'_100g') - if value is not None: - nutrient_scores[nutrient] = min(100, max(0, factor * (value / self._get_daily_requirement(nutrient)))) - - # sum the nutrient scores to arrive at the total nutrient score - total_score = sum(nutrient_scores.values()) - - return total_score - - def _get_daily_requirement(self, nutrient): - daily_requirement = {'fat': 70, 'saturated_fat': 20, 'trans_fat': 2, 'cholesterol': 300, - 'sodium': 2000, 'carbohydrates': 260, 'sugars': 90, 'fiber': 38, - 'proteins': 50, 'vitamin_a': 900, 'vitamin_c': 90, 'calcium': 1000, - 'iron': 18} - - # for nutrients without a daily requirement, return None - return daily_requirement.get(nutrient, None) - - @classmethod - def load_from_dataframe(cls, df): - products = [] - for i, row in df.iterrows(): - product = cls(row) - products.append(product) - return products - - def __str__(self) -> str: - return self.product_name \ No newline at end of file