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import math, json
# Function to scale nutrition values
def scale_nutrition(nutrition_per_serving, user_serving_size):
scaling_factor = user_serving_size / nutrition_per_serving['servingSize']
return {
'energy': round(nutrition_per_serving['energy'] * scaling_factor, 2),
'protein': round(nutrition_per_serving['protein'] * scaling_factor, 2),
'carbohydrates': round(nutrition_per_serving['carbohydrates'] * scaling_factor, 2),
'addedSugars': round(nutrition_per_serving['addedSugars'] * scaling_factor, 2),
'dietaryFiber': round(nutrition_per_serving['dietaryFiber'] * scaling_factor, 2),
'totalFat': round(nutrition_per_serving['totalFat'] * scaling_factor, 2),
'saturatedFat': round(nutrition_per_serving['saturatedFat'] * scaling_factor, 2),
'monounsaturatedFat': round(nutrition_per_serving['monounsaturatedFat'] * scaling_factor, 2),
'polyunsaturatedFat': round(nutrition_per_serving['polyunsaturatedFat'] * scaling_factor, 2),
'transFat': round(nutrition_per_serving['transFat'] * scaling_factor, 2),
'sodium': round(nutrition_per_serving['sodium'] * scaling_factor, 2)
}
# Function to calculate percentage of daily value
def calculate_percentage(nutrient_value, daily_value):
print(f"DEBUG : nutrient_value : {nutrient_value} daily_value : {daily_value}")
if daily_value == 0 or math.isnan(nutrient_value):
return 'N/A'
return f"{round((nutrient_value / daily_value) * 100, 2)}%"
# Main function to scale and calculate percentages (can be called directly in other parts of your code)
def process_nutrition_data(nutrition_per_serving, user_serving_size):
# Recommended daily values (based on general guidelines)
daily_values = {
'energy': 2230,
'protein': 55,
'carbohydrates': 330,
'addedSugars': 30,
'dietaryFiber': 30,
'totalFat': 74,
'saturatedFat': 22,
'sodium': 2000,
'monounsaturatedFat': 25,
'polyunsaturatedFat': 25,
'transFat': 2
}
scaled_nutrition = scale_nutrition(nutrition_per_serving, user_serving_size)
#Example : scaled_nutrition : {'energy': 86.86, 'protein': 1.26, 'carbohydrates': 14.29, 'addedSugars': 5.06, 'dietaryFiber': 0.0,
#'totalFat': 2.74, 'saturatedFat': 1.28, 'monounsaturatedFat': 0.0, 'polyunsaturatedFat': 0.0, 'transFat': 0.0, 'sodium': 52.83}
percentage_daily_values = {
'energy': calculate_percentage(scaled_nutrition['energy'], daily_values['energy']),
'protein': calculate_percentage(scaled_nutrition['protein'], daily_values['protein']),
'carbohydrates': calculate_percentage(scaled_nutrition['carbohydrates'], daily_values['carbohydrates']),
'addedSugars': calculate_percentage(scaled_nutrition['addedSugars'], daily_values['addedSugars']),
'dietaryFiber': calculate_percentage(scaled_nutrition['dietaryFiber'], daily_values['dietaryFiber']),
'totalFat': calculate_percentage(scaled_nutrition['totalFat'], daily_values['totalFat']),
'saturatedFat': calculate_percentage(scaled_nutrition['saturatedFat'], daily_values['saturatedFat']),
'sodium': calculate_percentage(scaled_nutrition['sodium'], daily_values['sodium']),
}
return scaled_nutrition, percentage_daily_values
def find_nutrition(data):
#data is a dict. See https://github.com/ConsumeWise123/rda1/blob/main/clientp.py
if not data:
return ""
try:
nutrition_per_serving = data['nutritionPerServing']
user_serving_size = 0
if data['userServingSize'] != "":
user_serving_size = float(data['userServingSize'])
if not nutrition_per_serving:
return json.dumps({"error": "Invalid nutrition data"})
elif user_serving_size <= 0:
return json.dumps({"error": "Invalid user serving size"})
# Process and respond with scaled values and daily percentages
scaled_nutrition, percentage_daily_values = process_nutrition_data(nutrition_per_serving, user_serving_size)
print(f"DEBUG : percentage_daily_values : {percentage_daily_values}")
rda_analysis_str = f"Nutrition per serving as percentage of Recommended Dietary Allowance (RDA) is {json.dumps(percentage_daily_values)}"
print(f"DEBUG : rda_analysis_str : {rda_analysis_str}")
return rda_analysis_str
except Exception as e:
return json.dumps({"error" : "Invalid JSON or input"}) |