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import sqlite3
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class FoodSearch:
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def __init__(self, db_path):
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self.conn = sqlite3.connect(db_path)
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self.cursor = self.conn.cursor()
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def search(self, user_input) -> list:
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query = f"SELECT * FROM food_data WHERE product_name LIKE '%{user_input}%'"
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self.cursor.execute(query)
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results = self.cursor.fetchall()
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return results
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import sqlite3
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conn = sqlite3.connect('food.db')
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c = conn.cursor()
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# create table
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c.execute('''CREATE TABLE food
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(id INTEGER PRIMARY KEY AUTOINCREMENT,
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product_name TEXT,
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brands TEXT,
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brands_tags TEXT,
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categories TEXT,
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categories_tags TEXT,
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categories_en TEXT,
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origins TEXT,
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origins_tags TEXT,
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origins_en TEXT,
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countries TEXT,
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countries_tags TEXT,
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countries_en TEXT,
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image_url TEXT,
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image_ingredients_url TEXT,
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image_nutrition_url TEXT,
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energy_kcal_100g REAL,
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fat_100g REAL,
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saturated_fat_100g REAL,
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unsaturated_fat_100g REAL,
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omega_3_fat_100g REAL,
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omega_6_fat_100g REAL,
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omega_9_fat_100g REAL,
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trans_fat_100g REAL,
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cholesterol_100g REAL,
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carbohydrates_100g REAL,
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sugars_100g REAL,
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sucrose_100g REAL,
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glucose_100g REAL,
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fructose_100g REAL,
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lactose_100g REAL,
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maltose_100g REAL,
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fiber_100g REAL,
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soluble_fiber_100g REAL,
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insoluble_fiber_100g REAL,
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proteins_100g REAL,
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salt_100g REAL,
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added_salt_100g REAL,
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sodium_100g REAL,
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alcohol_100g REAL,
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vitamin_a_100g REAL,
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beta_carotene_100g REAL,
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vitamin_d_100g REAL,
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vitamin_e_100g REAL,
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vitamin_k_100g REAL,
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vitamin_c_100g REAL,
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vitamin_b1_100g REAL,
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vitamin_b2_100g REAL,
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vitamin_pp_100g REAL,
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vitamin_b6_100g REAL,
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vitamin_b9_100g REAL,
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vitamin_b12_100g REAL,
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bicarbonate_100g REAL,
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potassium_100g REAL,
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chloride_100g REAL,
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calcium_100g REAL,
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phosphorus_100g REAL,
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iron_100g REAL,
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magnesium_100g REAL,
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zinc_100g REAL,
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copper_100g REAL,
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manganese_100g REAL,
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fluoride_100g REAL,
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selenium_100g REAL,
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chromium_100g REAL,
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molybdenum_100g REAL,
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iodine_100g REAL,
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caffeine_100g REAL,
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carbon_footprint_100g REAL,
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carbon_footprint_from_meat_or_fish_100g REAL,
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cocoa_100g REAL)''')
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# commit changes and close connection
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conn.commit()
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conn.close()
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class foodItem():
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def __init__(self, row):
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self.product_name = row['product_name']
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self.brands = row['brands']
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self.brands_tags = row['brands_tags']
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self.categories = row['categories']
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self.categories_tags = row['categories_tags']
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self.categories_en = row['categories_en']
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self.origins = row['origins']
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self.origins_tags = row['origins_tags']
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self.origins_en = row['origins_en']
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self.countries = row['countries']
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self.countries_tags = row['countries_tags']
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self.countries_en = row['countries_en']
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self.image_url = row['image_url']
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self.image_ingredients_url = row['image_ingredients_url']
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self.image_nutrition_url = row['image_nutrition_url']
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self.energy_kcal_100g = row['energy-kcal_100g']
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self.fat_100g = row['fat_100g']
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self.saturated_fat_100g = row['saturated-fat_100g']
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self.unsaturated_fat_100g = row['unsaturated-fat_100g']
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self.omega_3_fat_100g = row['omega-3-fat_100g']
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self.omega_6_fat_100g = row['omega-6-fat_100g']
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self.omega_9_fat_100g = row['omega-9-fat_100g']
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self.trans_fat_100g = row['trans-fat_100g']
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self.cholesterol_100g = row['cholesterol_100g']
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self.carbohydrates_100g = row['carbohydrates_100g']
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self.sugars_100g = row['sugars_100g']
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self.sucrose_100g = row['sucrose_100g']
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self.glucose_100g = row['glucose_100g']
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self.fructose_100g = row['fructose_100g']
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self.lactose_100g = row['lactose_100g']
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self.maltose_100g = row['maltose_100g']
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self.fiber_100g = row['fiber_100g']
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self.soluble_fiber_100g = row['soluble-fiber_100g']
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self.insoluble_fiber_100g = row['insoluble-fiber_100g']
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self.proteins_100g = row['proteins_100g']
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self.salt_100g = row['salt_100g']
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self.added_salt_100g = row['added-salt_100g']
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self.sodium_100g = row['sodium_100g']
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self.alcohol_100g = row['alcohol_100g']
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self.vitamin_a_100g = row['vitamin-a_100g']
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self.beta_carotene_100g = row['beta-carotene_100g']
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self.vitamin_d_100g = row['vitamin-d_100g']
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self.vitamin_e_100g = row['vitamin-e_100g']
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self.vitamin_k_100g = row['vitamin-k_100g']
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self.vitamin_c_100g = row['vitamin-c_100g']
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self.vitamin_b1_100g = row['vitamin-b1_100g']
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self.vitamin_b2_100g = row['vitamin-b2_100g']
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self.vitamin_pp_100g = row['vitamin-pp_100g']
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self.vitamin_b6_100g = row['vitamin-b6_100g']
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self.vitamin_b9_100g = row['vitamin-b1_100g']
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self.vitamin_b12_100g = row['vitamin-b12_100g']
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self.bicarbonate_100g = row['bicarbonate_100g']
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self.potassium_100g = row['potassium_100g']
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self.chloride_100g = row['chloride_100g']
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self.calcium_100g = row['calcium_100g']
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self.phosphorus_100g = row['phosphorus_100g']
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self.iron_100g = row['iron_100g']
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self.magnesium_100g = row['magnesium_100g']
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self.zinc_100g = row['zinc_100g']
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self.copper_100g = row['copper_100g']
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self.manganese_100g = row['manganese_100g']
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self.fluoride_100g = row['fluoride_100g']
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self.selenium_100g = row['selenium_100g']
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self.chromium_100g = row['chromium_100g']
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self.molybdenum_100g = row['molybdenum_100g']
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self.iodine_100g = row['iodine_100g']
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self.caffeine_100g = row['caffeine_100g']
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self.carbon_footprint_100g = row['carbon-footprint_100g']
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self.carbon_footprint_from_meat_or_fish_100g = row['carbon-footprint-from-meat-or-fish_100g']
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self.cocoa_100g = row['cocoa_100g']
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def is_vegan(self):
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if "meat" not in self.categories_en.lower() and "dairy" not in self.categories_en.lower():
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return True
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else:
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return False
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def nutrient_score_intl(self):
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nutrient_factors = {'fat': 9, 'saturated_fat': 10, 'trans_fat': 10, 'cholesterol': 5,
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'sodium': 6, 'carbohydrates': 7, 'sugars': 6, 'fiber': 5,
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'proteins': 5, 'vitamin_a': 15, 'vitamin_c': 15, 'calcium': 10,
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'iron': 10}
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nutrient_scores = {}
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for nutrient, factor in nutrient_factors.items():
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value = getattr(self, nutrient+'_100g')
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if value is not None:
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nutrient_scores[nutrient] = min(100, max(0, factor * (value / self._get_daily_requirement(nutrient))))
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# sum the nutrient scores to arrive at the total nutrient score
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total_score = sum(nutrient_scores.values())
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return total_score
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def _get_daily_requirement(self, nutrient):
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daily_requirement = {'fat': 70, 'saturated_fat': 20, 'trans_fat': 2, 'cholesterol': 300,
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'sodium': 2000, 'carbohydrates': 260, 'sugars': 90, 'fiber': 38,
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'proteins': 50, 'vitamin_a': 900, 'vitamin_c': 90, 'calcium': 1000,
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'iron': 18}
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# for nutrients without a daily requirement, return None
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return daily_requirement.get(nutrient, None)
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@classmethod
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def load_from_dataframe(cls, df):
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products = []
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for i, row in df.iterrows():
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product = cls(row)
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products.append(product)
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return products
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def __str__(self) -> str:
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return self.product_name
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import sqlite3
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import pandas as pd
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import re
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thai_df = pd.read_csv('thai_data.csv')
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us_df = pd.read_csv('us_data.csv')
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japan_df = pd.read_csv('japan_data.csv')
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conn = sqlite3.connect('food_data.db')
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thai_df = thai_df[~thai_df.product_name.str.contains('to be deleted', na=False, flags=re.IGNORECASE)]
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japan_df = japan_df[~japan_df.product_name.str.contains('to be deleted', na=False, flags=re.IGNORECASE)]
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us_df = us_df[~us_df.product_name.str.contains('to be deleted', na=False, flags=re.IGNORECASE)]
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thai_df = thai_df.dropna(subset=['product_name'])
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japan_df = japan_df.dropna(subset=['product_name'])
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us_df = us_df.dropna(subset=['product_name'])
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thai_df.to_sql('thai_food', conn, if_exists='replace', index=False)
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us_df.to_sql('us_food', conn, if_exists='replace', index=False)
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japan_df.to_sql('japan_food', conn, if_exists='replace', index=False)
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conn.commit()
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conn.close()
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