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As a Software Engineer in a Health and Leisure company, your task is to add a new feature to the app: a calorie and nutrition calculator. This tool will calculate and display total calories, sugars, fats, and other nutritional values for different foods based on user input.

You have been provided with the nutrition.json dataset, which contains the necessary nutritional information for various foods. Each value in the dataset is per 100 grams of the food item. The dataset has already been read and loaded for you as the dictionary nutrition_dict.

Dataset Summary

nutrition.json

ColumnDescription
foodThe name of the food.
caloriesThe amount of energy provided by the food, measured in kilocalories (kcal) per 100 grams.
total_fatThe total fat content in grams per 100 grams.
proteinThe protein content in grams per 100 grams.
carbohydrateThe total carbohydrate content in grams per 100 grams.
sugarsThe amount of sugars in grams per 100 grams.

Let's Get Started!

This project is a great opportunity to build a real-world feature from scratch, showcasing your development skills and making a meaningful impact on users' health and wellness.

import json  # Import the json module to work with JSON files

# Open the nutrition.json file in read mode and load its content into a dictionary
with open('nutrition.json', 'r') as json_file:
    nutrition_dict = json.load(json_file)  # Load the JSON content into a dictionary
    
# Display the first 3 items of the nutrition dictionary
list(nutrition_dict.items())[:3]
# Creating the function
def nutritional_summary(food_dict):
    # Initialize totals
    totals = {
       "calories": 0,
       "total_fat":0,
       "protein": 0,
       "carbohydrate": 0,
       "sugars": 0
    }

    # Loop through input foods
    for food, grams in food_dict.items():
        if food not in nutrition_dict:
            return food

    #Scaling factor (per 100g)
        factor = grams/ 100

    # Accumlate nutrition
        totals["calories"] += nutrition_dict[food]["calories"] * factor
        totals["total_fat"] += nutrition_dict[food]["total_fat"] * factor
        totals["protein"] += nutrition_dict[food]["protein"] * factor
        totals["carbohydrate"] += nutrition_dict[food]["carbohydrate"] * factor
        totals["sugars"] += nutrition_dict[food]["sugars"] * factor

    return totals
    
# Foods in the nutrition dict
food_list = list(nutrition_dict.keys())
food_list[:20]
# Putting our function to test
nutritional_summary({"Nuts, pecans": 200,
                   "Taro leaves, raw": 300})