Characters — Victoria works at Viva La Carte, — James is a customer
James wants to simplify his meal planning. In fact, he wishes he had his own personal nutritionist who would help him plan well-balanced meals for the week. At the same time, the nutritionist should know which foods James likes to eat and which foods he is allergic to or just doesn't like, or which foods he doesn't feel like eating at any particular moment.
Here, the nutritionist shows James a meal plan for the week. Now, James can substitute meals to suit his tastes, or he just accepts whatever the nutritionist actually recommends. In addition, he can tell the nutritionist which brands he prefers over others.
So James goes to Victoria's Shopping Service with the shopping list he needs to get the foods set from his meal plan. When he gives Victoria his list, she gets all the products he needs. Victoria shows James how many calories each item has and how the items compare to each other based on a standard metric, such as kcal per 100g. The prices in Victoria's store are displayed last and are viewed as the least important. Victoria makes it a priority to be familiar with her customers personally. That's why when she sees James for the first time, she first asks him his name. Chatting helps Victoria figure out exactly the type of food James likes and dislikes, and beyond that, she indulges in gossip. For example, she tells James about what her other customers have bought recently, what his friends got, and she can provide James with his entire grocery shopping history for easy reference. She suggests that James might want to replace items or add and remove specific items to or from his shopping cart.
James has all the items he wants. He purchases them. Victoria takes note and thanks James. She asks him if he would like to set up his order for repeated delivery. James says yes, but he would need to modify some things. Victoria notes that and tells James about how they could arrange regular deliveries.
To implement the meal plan generator using ASP.NET, you can follow these steps:
The NutritionFacts, Nutrient, and MealPlan classes are used to store and manage data on nutrients and foods, while the MealPlanGenerator class is used to generate personalized meal plans based on the nutritional requirements and food data stored in the other classes.
To implement these classes and methods, you can use a combination of the C# programming language, the .NET framework, and a database or API for storing and accessing nutritional data. You can also use arrow functions to simplify your code and make it more readable.
To make the algorithm faster, one possible approach is to use a more efficient method for selecting food items that meet the nutritional goals. For example, instead of randomly selecting food items from a list of the top 100 foods, the algorithm could use a search algorithm to find the food items that most closely match the nutritional requirements.
This would allow the algorithm to quickly find the optimal combination of foods that meet the nutritional goals, without the need for multiple iterations. Additionally, using a database to store and manage the data on nutrients and foods can also improve the efficiency of the algorithm, as it allows for more efficient data retrieval and manipulation.
Once you have implemented these steps, you should have a working implementation of the project. You can then use the generated meal plan to evaluate the nutritional value of a person's diet and make adjustments as needed to meet their nutritional goals.
To allow a user to save the generated meal plan, you can add a database to your ASP.NET MVC project and use it to store the meal plan data.
Here is an example of how you can do this:
In your ASP.NET MVC project, create a new database and a MealPlan table in the database to store the meal plan data. The MealPlan table should have columns to store the data for the Foods and Nutrients properties of the MealPlan class.
In the MealPlanController class, create a new action method called SaveMealPlan that takes a MealPlan object as an input parameter.
public class MealPlanController : Controller
{
public ActionResult SaveMealPlan(MealPlan mealPlan)
{
// Add your code here
}
}In the SaveMealPlan action method, use Entity Framework to connect to the database and insert the data from the mealPlan object into the MealPlan table.
public class MealPlanController : Controller
{
public ActionResult SaveMealPlan(MealPlan mealPlan)
{
using (var context = new YourDbContext())
{
context.MealPlans.Add(mealPlan);
context.SaveChanges();
}
// Add your code here
}
}To save the meal plan in the SaveMealPlan action method, you can use Entity Framework to connect to the database and insert the data from the mealPlan object into the MealPlan table. In the SaveMealPlan action method, return a success message or a JSON response to confirm that the meal plan was saved successfully.
public class MealPlanController : Controller
{
public ActionResult SaveMealPlan(MealPlan mealPlan)
{
using (var context = new YourDbContext())
{
context.MealPlans.Add(mealPlan);
context.SaveChanges();
}
// Add your code here
}
}In this example, the SaveMealPlan action method takes a MealPlan object as an input parameter. The action method uses Entity Framework to connect to the database and insert the data from the mealPlan object into the MealPlan table. The SaveChanges method is then called to save the changes to the database.
After the meal plan is saved, you can add additional code in the SaveMealPlan action method to return a success message or a JSON response to confirm that the meal plan was saved successfully.
For example, you can use the Json method of the Controller class to return a JSON response containing a success message:
public class MealPlanController : Controller
{
public ActionResult SaveMealPlan(MealPlan mealPlan)
{
using (var context = new YourDbContext())
{
context.MealPlans.Add(mealPlan);
context.SaveChanges();
}
return Json("Meal plan saved successfully");
}
}In this example, the Json method is used to return a JSON response containing a success message. This JSON response can be used in the view to confirm that the meal plan was saved successfully
To connect the USDAAPI and the Edamam Recipes API, you would need to first retrieve the recipe data from the Edamam API. This can be done using the EdamamAPI class, which provides methods for searching and retrieving recipe data from the Edamam API.
Once you have retrieved the recipe data, you can use the USDAAPI class to get the nutritional data for the ingredients in the recipes. You can then use this data to create instances of the NutritionFacts class, which can be used by the MealPlanGenerator class to generate the personalized meal plan.
// Create a new instance of the EdamamAPI class
var edamam = new EdamamAPI("YOUR_APP_ID", "YOUR_APP_KEY");
// Search for Edamame recipes
var recipes = await edamam.SearchRecipes("Edamame");
// Create a new instance of the MealPlan class
var plan = new MealPlan();
// Create a new instance of the USDAAPI class
var usda = new USDAAPI("YOUR_API_KEY");
// Loop through each recipe and get the nutritional data for its ingredients
foreach (var recipe in recipes)
{
// Get the ingredients for the recipe
var ingredients = recipe.Ingredients;
// Loop through each ingredient and get its nutritional data
foreach (var ingredient in ingredients)
{
// Get the nutritional data for the ingredient
var data = await usda.GetFoodData(ingredient.Name);
// Create a new NutritionFacts object for the ingredient
var nutritionFacts = new NutritionFacts(data);
// Add the ingredient to the meal plan
plan.AddFood(nutritionFacts);
}
}
// Create a new instance of the MealPlanGenerator class
var generator = new MealPlanGenerator(plan);
// Generate the personalized meal plan
var mealPlan = generator.GenerateMealPlan();This code would first use the EdamamAPI class to search for Edamame recipes. It would then retrieve the nutritional data for the ingredients in each recipe using the USDAAPI class, and create instances of the NutritionFacts class for each ingredient. These NutritionFacts objects would be added to a MealPlan object, and the MealPlanGenerator class would be used to generate the personalized meal plan based on the nutritional data for the ingredients in the recipes. The generated meal plan would then be stored in the mealPlan variable, and you could use it to display the meal plan to the user or make further modifications to it as needed.
Overall, these steps provide a general overview of how you could use the USDAAPI and EdamamAPI classes to connect the USDA and Edamam APIs and generate a personalized meal plan using the nutritional data for the ingredients in Edamame recipes. You can modify and expand on these steps as needed to implement the specific features and interactions that are needed for your meal plan generator tool.
public class EdamamAPI
{
private string _appId;
private string _appKey;
public EdamamAPI(string appId, string appKey)
{
_appId = appId;
_appKey = appKey;
}
public async Task<List<Recipe>> SearchRecipes(string query)
{
// Use the Edamam API endpoint and parameters to search for recipes
// See the Edamam API documentation for more details
var url = $"https://api.edamam.com/search?q={query}&app_id={_appId}&app_key={_appKey}";
var response = await HttpClient.GetAsync(url);
var json = await response.Content.ReadAsStringAsync();
// Parse the JSON response and return a list of Recipe objects
return JsonConvert.DeserializeObject<List<Recipe>>(json);
}
}To implement the EdamamAPI class, you would need to follow the documentation provided by the Edamam API and use the appropriate API endpoint and parameters to search for recipes and retrieve the recipe data. You would then need to create methods in the EdamamAPI class that use this endpoint and these parameters to search for recipes and retrieve the recipe data
This code defines the EdamamAPI class, which has two private fields, _appId and _appKey, that are used to store the API key and application ID provided by the Edamam API. The EdamamAPI class also has a constructor that takes the API key and application ID as arguments and sets the corresponding fields.
The EdamamAPI class also has a SearchRecipes method that takes a query string as an argument and uses the Edamam API endpoint and parameters to search for recipes that match the query. The method then returns a list of Recipe objects that contain the data for the recipes that were found.
This code is just an example of how you could implement the EdamamAPI class, and you may need to modify it to fit the specific requirements of your project. For example, you may want to add additional methods to the EdamamAPI class that allow you to retrieve more detailed information about the recipes, or that allow you to search for recipes using different parameters or filters. Additionally, you may also want to add error handling to the EdamamAPI class to handle situations where the API request fails or the response is invalid.
Overall, the EdamamAPI class provides a way to search for and retrieve recipe data from the Edamam API. You can use this class in conjunction with the USDAAPI class to generate a personalized meal plan based on the nutritional data for the ingredients in the recipes.
The MealPlanGenerator class uses the data stored in the NutritionFacts and Nutrient classes to select foods that meet the nutritional requirements specified by the user.
First, the MealPlanGenerator class creates a MealPlan object that contains a list of NutritionFacts objects for the foods that are included in the meal plan. The MealPlan class then calculates the nutrient scores for each nutrient in the meal plan, using the Nutrient class to determine the ideal, minimum, and maximum quantities of each nutrient.
Next, the MealPlanGenerator class uses a search algorithm to find the food items that most closely match the nutritional requirements of the user. This search algorithm can use the data from the USDAAPI and EdamamAPI classes to search for foods that have the desired nutrients and are within the specified range for each nutrient.
Once the MealPlanGenerator has selected the food items that meet the nutritional requirements, it adds them to the MealPlan object, and recalculates the nutrient scores for the meal plan. If the nutrient scores are within the acceptable range, the MealPlan object is considered acceptable, and the meal plan generation process is complete.
If the nutrient scores are not within the acceptable range, the MealPlanGenerator can continue to search for additional food items that meet the nutritional requirements, and add them to the MealPlan object until the nutrient scores are within the acceptable range. This process continues until the MealPlan object is considered acceptable, or until a maximum number of iterations is reached
At the end of the meal plan generation process, the MealPlan object contains the final list of food items that have been selected by the MealPlanGenerator. This list can be used to generate a shopping list for the user, or to display the meal plan to the user for review and approval.
To interact with the EdamamAPI and USDAAPI, the MealPlanGenerator class uses methods provided by these classes to search for and retrieve data on foods that match the nutritional requirements specified by the user. The MealPlanGenerator class then uses this data to select the appropriate foods for the meal plan, and adds them to the MealPlan object.
The specific steps and details of this process may vary depending on the specific implementation of the MealPlanGenerator class, but in general, the MealPlanGenerator uses the data from the EdamamAPI and USDAAPI classes to search for and select foods that meet the nutritional requirements of the user, and adds these foods to the MealPlan object. This process continues until the MealPlan object is considered acceptable, or until a maximum number of iterations is reached.
Here is an outline of the general process of how the MealPlanGenerator class uses the EdamamAPI and USDAAPI classes to search for and select foods that meet the nutritional requirements of the user:
Create a new MealPlan object to store the foods that will be included in the meal plan.
# Create a new MealPlan object
mealPlan = new MealPlan()Create a new MealPlanGenerator object that uses the MealPlan object created in step 1.
# Create a new MealPlanGenerator object
mealPlanGenerator = new MealPlanGenerator(mealPlan)Use the setNutrientRequirements method provided by the MealPlanGenerator class to specify the user's nutritional requirements. This method takes as input the minimum, ideal, and maximum quantities of each nutrient that should be included in the meal plan.
# Set the user's nutritional requirements
nutrientRequirements = mealPlanGenerator.setNutrientRequirements(...)Use the searchForFoods method provided by the MealPlanGenerator class to search for foods that meet the nutritional requirements specified in step 3. This method takes as input the nutritional requirements and the EdamamAPI and USDAAPI objects that are used to search for and retrieve data on foods.
# Search for foods that meet the nutritional requirements
foods = mealPlanGenerator.searchForFoods(nutrientRequirements, edamamAPI, usdaAPI)Use the selectFoods method provided by the MealPlanGenerator class to select the foods that will be added to the meal plan. This method takes as input the list of foods returned by the searchForFoods method in step 4, and the MealPlan object that will store the selected foods.
# Select foods for the meal plan
selectedFoods = mealPlanGenerator.selectFoods(foods, mealPlan)Use the addFoods method provided by the MealPlan class to add the selected foods to the meal plan. This method takes as input the list of selected foods returned by the selectFoods method in step 5.
# Add the selected foods to the meal plan
mealPlan.addFoods(selectedFoods)Use the isAcceptable method provided by the MealPlan class to check if the meal plan meets the nutritional requirements specified in step 3. This method takes as input the nutritional requirements and returns true if the meal plan meets the requirements, and false if it does not.
# Check if the meal plan meets the nutritional requirements
if (mealPlan.isAcceptable(nutrientRequirements)):
# The meal plan is acceptable, so we're done
return mealPlanIf the meal plan is not acceptable (i.e., the isAcceptable method returns false), then we need to continue searching for foods to add to the meal plan until it is acceptable. To do this, we can use a while loop that repeats the steps above until the isAcceptable method returns true.
else:
# The meal plan is not acceptable, so we need to continue searching for foods to add to the meal plan
while (not mealPlan.isAcceptable(nutrientRequirements)):
# Search for more foods that meet the nutritional requirements
foods = mealPlanGenerator.searchForFoods(nutrientRequirements, edamamAPI, usdaAPI)
# Select foods for the meal plan
selectedFoods = mealPlanGenerator.selectFoods(foods, mealPlan)
# Add the selected foods to the meal plan
mealPlan.addFoods(selectedFoods)
# Check if the meal plan meets the nutritional requirements
if (mealPlan.isAcceptable(nutrientRequirements)):
# The meal plan is acceptable, so we're done
return mealPlanThis is the end of the implementation. Once the return statement is reached, the MealPlan object will contain the final list of food items that have been selected by the MealPlanGenerator. This list can be used to generate a shopping list for the user, or to display the meal plan to the user in a visually appealing way, such as a table or chart.
The final list of selected foods can be used to create a shopping list that the user can take to the grocery store, or it can be displayed to the user in a way that makes it easy to understand and follow the meal plan. This could include showing the list of foods in a table or chart, with each food item and its corresponding nutritional information. Additionally, the meal plan could include additional information, such as the total number of calories in the plan, the proportion of macronutrients (such as carbohydrates, proteins, and fats) in the plan, and any other relevant details.
To use the data from the Edamame Recipes API to generate the meal plan, you can create a Food class to represent the data for a food item from the API, and use the MealPlanGenerator class to select and add foods from the API to the meal plan.
Here is an example of how you can do this:
Create a Food class to represent the data for a food item from the API. The Food class should have properties to store the data for the food's name, serving size, calories, and various macronutrients and micronutrients. It should also have methods to get the macronutrient and micronutrient dictionaries.
public class Food
{
public string Name { get; set; }
public int ServingSize { get; set; }
public int Calories { get; set; }
public Dictionary<string, int> Macronutrients { get; set; }
public Dictionary<string, int> Micronutrients { get; set; }
public Dictionary<string, int> GetMacronutrientDictionary()
{
// Add your code here
}
public Dictionary<string, int> GetMicronutrientDictionary()
{
// Add your code here
}
}Use the MealPlanGenerator class to select and add foods from the API to the meal plan. The MealPlanGenerator class should have a Foods property to store the list of foods from the API, and a GenerateMealPlan method that selects and adds foods to the meal plan based on the nutritional requirements.
To use the MealPlanGenerator class to select and add foods from the API to the meal plan, you can use the GenerateMealPlan method of the MealPlanGenerator class to select and add foods to the meal plan based on the nutritional requirements.
Here is an example of how you can do this:
In the GenerateMealPlan method of the MealPlanGenerator class, create a list of Food objects to store the foods from the API.
public class MealPlanGenerator
{
private List<Food> Foods { get; set; }
public MealPlan GenerateMealPlan()
{
var foods = new List<Food>();
// Add your code here
}
}In the GenerateMealPlan method, use the HttpClient class to send a GET request to the Edamame Recipes API to retrieve the data for the top 100 foods.
public class MealPlanGenerator
{
private List<Food> Foods { get; set; }
public MealPlan GenerateMealPlan()
{
var foods = new List<Food>();
using (var httpClient = new HttpClient())
{
var response = await httpClient.GetAsync("https://api.edamam.com/search?q=*&app_id=xxxx&app_key=xxxx&to=100");
// Add your code here
}
}
}In the GenerateMealPlan method, deserialize the JSON response from the API into a list of Food objects.
public class MealPlanGenerator
{
private List<Food> Foods { get; set; }
public MealPlanGenerator()
{
Foods = new List<Food>();
}
public MealPlan GenerateMealPlan()
{
// Use the HttpClient class to send a GET request to the Edamame Recipes API
using (var httpClient = new HttpClient())
{
var response = await httpClient.GetAsync("https://api.edamam.com/search?q=*&app_id=xxxx&app_key=xxxx&to=100");
// Deserialize the JSON response from the API into a list of Food objects
var json = await response.Content.ReadAsStringAsync();
var result = JsonConvert.DeserializeObject<List<Food>>(json);
Foods.AddRange(result);
}
// Select and add foods to the meal plan based on the nutritional requirements
var mealPlan = new MealPlan();
foreach (var nutrient in Nutrients)
{
var food = SelectFood(nutrient);
if (food != null)
{
mealPlan.AddFood(food);
if (mealPlan.IsAcceptable())
{
break;
}
}
}
return mealPlan;
}
private Food SelectFood(Nutrient nutrient)
{
// Find the food with the closest match to the nutritional requirements of the given nutrient
var food = Foods
.OrderBy(f => Math.Abs(f.GetMacronutrientDictionary()[nutrient.Name] - nutrient.IdealAmount))
.FirstOrDefault();
// Check if the selected food matches the criteria for the ideal quantity of the nutrient
if (food != null && food.GetMacronutrientDictionary()[nutrient.Name] >= nutrient.MinAmount && food.GetMacronutrientDictionary()[nutrient.Name] <= nutrient.MaxAmount)
{
return food;
}
return null;
}
}In this example, the SelectFood method takes a Nutrient object as an input parameter and uses a search algorithm to find the food item with the closest match to the nutritional requirements of the given nutrient. The OrderBy method is used to sort the list of foods by the difference between the amount of the given nutrient in each food and the ideal amount of the nutrient. The FirstOrDefault method is then used to select the first food in the sorted list.
After the food is selected, the SelectFood method checks if the selected food matches the criteria for the ideal quantity of the nutrient. If the selected food matches the criteria, it is returned by the SelectFood method. If the selected food does not match the criteria, null is returned.
You can modify this implementation to use different search algorithms or criteria for selecting the food items that most closely match the nutritional requirements
To get the data from the USDA API, you would need to make a request to the API using a suitable HTTP client, such as HttpClient in C#. The API allows you to query the database using various parameters, such as the food name, nutrient ID, and food group ID, to retrieve the nutritional data for the foods you are interested in.
For example, to get the data for all foods that contain the nutrient with ID 1003 (Protein), you would make a request to the following URL: https://api.nal.usda.gov/ndb/nutrients/?format=json&api_key=YOUR_API_KEY&nutrients=1003&max=100
This request would return a JSON response with the data for the 100 foods that have the most amount of protein, along with their nutritional content. You can then parse this response and use the data to create instances of the NutritionFacts class in your C# code, as shown in the example below:
// Get the data for foods that contain the nutrient with ID 1003 (Protein)
var client = new HttpClient();
var response = await client.GetAsync("https://api.nal.usda.gov/ndb/nutrients/?format=json&api_key=YOUR_API_KEY&nutrients=1003&max=100");
// Parse the JSON response and create instances of the NutritionFacts class for each food
var json = await response.Content.ReadAsStringAsync();
var data = JsonConvert.DeserializeObject<NutritionFactsData>(json);
foreach (var food in data.Foods)
{
var nutritionFacts = new NutritionFacts(food);
// Add the NutritionFacts instance to the list of top 100 foods
top100Foods.Add(nutritionFacts);
}You can then repeat this process for each nutrient that you want to consider in the meal plan, using the appropriate nutrient ID in the API request. This will allow you to get the data for all the top 100 foods that contain each nutrient, which you can use to generate the personalized meal plan.
To access data from the USDA database, you can use the USDA API to query the database and retrieve the nutritional data for the foods you are interested in. This can be done by making a request to the API using a suitable HTTP client, such as HttpClient in C#, and then parsing the response to retrieve the data you need.
using System.Linq;
using System.Collections.Generic;
using System.Net.Http;
using Newtonsoft.Json;
// NutritionFacts, Nutrient, MealPlan, and MealPlanGenerator classes would be defined here
class USDAAPI
{
// List of 100 foods with the highest amount of each nutrient
List<Food> top100Foods;
// API key for accessing the USDA database
string apiKey;
public USDAAPI(string apiKey)
{
this.apiKey = apiKey;
this.top100Foods = new List<Food>();
}
public async Task<List<Food>> GetTop100Foods(int nutrientID)
{
// Get the data for foods that contain the nutrient with the specified ID
var client = new HttpClient();
var response = await client.GetAsync($"https://api.nal.usda.gov/ndb/nutrients/?format=json&api_key={this.apiKey}&nutrients={nutrientID}&max=100");
// Parse the JSON response and create instances of the Food class for each food
var json = await response.Content.ReadAsStringAsync();
var data = JsonConvert.DeserializeObject<FoodData>(json);
var foods = data.Foods.Select(x => new Food(x)).ToList();
// Return the list of foods
return foods;
}
}
- If nutrientAmount > IdealAmount && nutrientAmount < MaxAmount → use the first function.
- If nutrientAmount < IdealAmount && nutrientAmount > MinAmount, the second function is used.
- If nutrientAmount < MinAmount, the third function is used.
> The user can adjust the importance and defaults
> You should have 3 distinct ranges and functions to calculate the nutrient score so the meal plan can be customized
> Importance (aka weight): 1 = a line slope of 1; 2 = a line slope of 2. - MealPlanScore = sum of each nutrient score, i.e.: [NutrientScoreFIRST, … , NutrientScoreLAST].sum();
- If two MealPlanScores have an identical set of nutritional goals,
then a larger score means that the meal plan is more in line with nutritional requirements.Nutrient = Calcium, Unit = mg, MinAmount = 1000, IdealAmount = 2500, MaxAmount = 5000, MealHas = 1164, (current amount in the meal) Importance = 2 Intercept = 1
To get the data for the nutritional content of foods, you can use a database or API that provides this information. For example, the USDA National Nutrient Database provides a database of foods and their nutritional content, which you can use to get the information you need for your meal plan generator.
You can access this database through the USDA API, which allows you to query the database and retrieve the nutritional data for specific foods. You can then use this data to create instances of the NutritionFacts class in your C# code, which will store the information about the nutritional content of each food.
Alternatively, you can also use a different database or API that provides similar information, as long as it includes the macronutrients and micronutrients that you want to consider in the meal plan. There are many sources of nutritional data available, so you can choose the one that best meets your needs and requirements.
using System.Linq;
using System.Collections.Generic;
// NutritionFacts, Nutrient, and MealPlan classes would be defined here
class MealPlanGenerator
{
// List of 100 foods with the highest amount of each nutrient
List<Food> top100Foods;
// List of nutrients to be considered in the meal plan
List<Nutrient> nutrients;
// Meal plan object
MealPlan plan;
public MealPlanGenerator(List<Food> top100Foods, List<Nutrient> nutrients)
{
this.top100Foods = top100Foods;
this.nutrients = nutrients;
this.plan = new MealPlan();
}
public void GenerateMealPlan()
{
foreach (var nutrient in nutrients)
{
// Select a random food from the top 100 foods that have the most amount of the nutrient
var randomFood = top100Foods.OrderBy(x => Guid.NewGuid()).First();
// Add the random food to the meal plan and recalculate the plan's total score
plan.AddFood(randomFood);
var planScore = plan.CalculateScore();
// Check if adding the random food causes any nutrient to go over its upper bound
var overUpperBound = plan.IsOverUpperBound(nutrient);
// If adding the random food causes a nutrient to go over its upper bound, remove it and select a new food
if (overUpperBound)
{
plan.RemoveFood(randomFood);
// Record the number of times a nutrient causes a food rejection
nutrient.NumRejections++;
// If a nutrient causes a food rejection four or more times, remove the food with the highest amount of that nutrient from the meal plan
if (nutrient.NumRejections >= 4)
{
var foodWithHighestAmount = plan.GetFoodWithHighestAmount(nutrient);
plan.RemoveFood(foodWithHighestAmount);
}
// Select a new food and add it to the meal plan
randomFood = top100Foods.OrderBy(x => Guid.NewGuid()).First();
plan.AddFood(randomFood);
}
}
// Add foods until each nutrient goes over its lower bound
while (!plan.IsOverLowerBound())
{
// Select a random food from the top 100 foods that have the most amount of the next unmet nutrient
var unmetNutrient = plan.GetNextUnmetNutrient();
var randomFood = top100Foods.OrderBy(x => Guid.NewGuid()).First();
plan.AddFood(randomFood);
}
// Meal plan is complete if all nutrients meet minimum requirements
if (plan.IsComplete())
{
// Print the final meal plan
plan.Print();
}
}
}
A model such as SSC3gd could be used to pare down the food list prior to it being passed to this method. A pantry feature that would allow users to track the foods that they currently have in their pantry/house. Use pantry data, along with the food list for generated meal plans, to provide the users with a shopping list. Present users with nutritional goal templates, an example being “Post race recovery”. The template would recommend the MinAmount, IdealAmount, and MaxAmount, and would insert the nutrient defaults and weights. The website provides the user with recipes, as opposed to a simple food list. The recipes would be user submitted, along with the selecting what foods from the USDA database to use.
1) Looking for Vitamin C. 2) Adding Peppers, sweet, green, cooked, boiled, drained, without salt. 3) Looking for Vitamin B1 (thiamine). 4) Adding WORTHINGTON Dinner Roast, frozen, unprepared. 5) Looking for Vitamin B2 (riboflavin). 6) Adding Spaghetti with meat sauce, frozen entrée. 7) Looking for Vitamin B3 (niacin). 8) Adding Fast foods, submarine sandwich, turkey, roast beef and ham on white bread with lettuce and tomato. 9) Looking for Pantothenic Acid. 10) Adding Chicken, liver, all classes, cooked, pan-fried. 11) Looking for Calcium. 12) Exceeded Sodium (1). 13) Looking for Vitamin K. 14) Exceeded Sodium (2). 15) Looking for Magnesium. 16) Adding Peanuts, Virginia, oil-roasted, without salt. 17) Looking for Potassium. 18) Adding Plums, dried (prunes), uncooked. 19) Looking for Zinc. 20) Exceeded Sodium (3). 21) Looking for Vitamin E. 22) Exceeded Sodium (4). 23) The score is: 5.52796417989. 24) Removing a food for Sodium. 25) Looking for Vitamin C. 26) Adding Orange juice, raw. 27) Looking for Calcium. 28) Adding CARRABBA’S ITALIAN GRILL, cheese ravioli with marinara sauce. 29) Looking for Vitamin K. 30) Exceeded Sodium (1). 31) Looking for Magnesium. 32) Exceeded Sodium (2). 33) Looking for Potassium. 34) Adding Apricots, dehydrated (low-moisture), sulfured, stewed. 35) Looking for Zinc. 36) Exceeded Sodium (3). 37) Looking for Vitamin E. 38) Adding Oil, sunflower, linoleic (less than 60%). 39) This report is for date: 16/11/22. The score is: 7.55021904762.
1) Elapsed time (ms): 329500.334978. 2) This report is for date: 16/11/22. The score is: 19.7325233333. 3) Nutrient List. 1) Histidine = N/A DRV (2.068 g/0). 2) Vitamin C = 40.7% of Ideal (609.9 mg/1.2198). 3) Vitamin B1 (thiamine) = 84.4% of Ideal (2.111 mg/2.5332). 4) Vitamin B2 (riboflavin) = 174.6% of Ideal (4.015 mg/0.330833333333). 5) Vitamin B3 (niacin) = 69.4% of Ideal (20.81 mg/2.081). 6) Pantothenic Acid = 54.2% of Ideal (10.837 mg/1.62555). 7) Folate = 197.8% of Ideal (989.0 ug/0.6044). 8) Calcium = 107.8% of Ideal (2694.0 mg/3.6896). 9) Vitamin K = 24.8% of Ideal (124.1 ug/0.7446). 10) Iron = 73.7% of Ideal (22.12 mg/2.212). 11) Magnesium = 87.2% of Ideal (698.0 mg/2.6175). 12) Phosphorus = 246.1% of Ideal (2461.0 mg/0.0156). 13) Potassium = 153.1% of Ideal (6890.0 mg/−3.92142857143). 14) Sodium = 136.3% of Ideal (1363.0 mg/0.0264285714286). 15) Zinc = 107.1% of Ideal (18.2 mg/0.636). 16) Copper = 49.6% of Ideal (2.978 mg/1.489). 17) Fluoride = 0.0% of Ideal (0 ug/0). 18) Manganese = 178.7% of Ideal (5.36 mg/0.464). 19) Selenium = 72.0% of Ideal (72.0 ug/2.16). 20) Vitamin A = 111.1% of Ideal (8334.0 IU/0.66664). 21) Vitamin E = 154.1% of Ideal (46.22 mg/0.5378). 22) Vitamin D = 0.4% of Ideal (8.0 IU/0). 23) Tryptophan = N/A DRV (0.904 g/0). 24) Threonine = N/A DRV (3.2 g/0). 25) Isoleucine = N/A DRV (3.487 g/0). 26) Leucine = N/A DRV (6.107 g/0). 27) Lysine = N/A DRV (4.907 g/0). 28) Methionine = N/A DRV (0.914 g/0). 29) Phenylalanine = N/A DRV (1.002 g/0). 30) Valine = N/A DRV (3.732 g/0). 4) Food List. 1) Beverages, MONSTER energy drink, low carb-Beverages. 2) Broccoli, frozen, chopped, unprepared-Vegetables and Vegetable Products. 3) Beans, white, mature seeds, raw-Legumes and Legume Products. 4) Desserts, mousse, chocolate, prepared-from-recipe-Sweets. 5) Strawberries, frozen, sweetened, sliced-Fruits and Fruit Juices. 6) Peppers, sweet, red, raw-Vegetables and Vegetable Products. 7) Lupins, mature seeds, raw-Legumes and Legume Products. 8) CAMPBELL’S, V8 Vegetable Juice, Essential Antioxidants V8-Vegetables and Vegetable Products. 9) Pepper, banana, raw-Vegetables and Vegetable Products. 10) Peppers, hot chili, green, raw-Vegetables and Vegetable Products. 11) Whey, acid, dried-Dairy and Egg Products. 12) Oil, sunflower, high oleic (70% and over)-Fats and Oils. 13) Mushrooms, white, cooked, boiled, drained, without salt-Vegetables and Vegetable Products.