harmony 鸿蒙Building a Food Data Model

2022-08-09
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Building a Food Data Model

In real-world development, it is impractical to describe all aspects of food in code, including the food name and nutrition facts. This is where the food data model comes into the picture. With the food data model, you can store and manage data in a unified manner.

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Create a folder named model and create a file named FoodData.ets therein.

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Define a food data storage model, FoodData, and an enum variable, Category. The FoodData class contains id, name, category, image, calories, protein, fat, carbohydrates, and vitaminC attributes. The ArkTS programming language is an extension of the TS language and also supports the TS syntax.

   enum Category  {
     Fruit,
     Vegetable,
     Nut,
     Seafood,
     Dessert
   }

   let NextId = 0;
   class FoodData {
     id: string;
     name: string;
     image: Resource;
     category: Category;
     calories: number;
     protein: number;
     fat: number;
     carbohydrates: number;
     vitaminC: number;

     constructor(name: string, image: Resource, category: Category, calories: number, protein: number, fat: number, carbohydrates: number, vitaminC: number) {
       this.id = `${ NextId++ }`;
       this.name = name;
       this.image = image;
       this.category = category;
       this.calories = calories;
       this.protein = protein;
       this.fat = fat;
       this.carbohydrates = carbohydrates;
       this.vitaminC = vitaminC;
     }
   }

Store food images in the resources > base > media directory. Use food names as the image names.
Create food resource data. Create FoodDataModels.ets in the model folder and declare the food composition array FoodComposition on the page. The following example creates two pieces of food data.

   const FoodComposition: any[] = [
     { 'name': 'Tomato', 'image': $r('app.media.Tomato'), 'category': Category.Vegetable, 'calories': 17, 'protein': 0.9, 'fat': 0.2, 'carbohydrates': 3.9, 'vitaminC': 17.8 },
     { 'name': 'Walnut', 'image': $r('app.media.Walnut'), 'category': Category.Nut, 'calories': 654 , 'protein': 15, 'fat': 65, 'carbohydrates': 14, 'vitaminC': 1.3 }
     ]

In real-world development, you can customize more data resources when needed. Use Lazy Loading to load data if a large amount of food data is involved.

Create the initializeOnStartUp method to initialize the FoodData array. Export the FoodData class from FoodData.ets, and import FoodData and Category in FoodDataModels.ets. “`ts // FoodData.ets export enum Category { …… } export class FoodData { …… } // FoodDataModels.ets import { Category, FoodData } from ‘./FoodData’

export function initializeOnStartup(): Array { let FoodDataArray: Array = [] FoodComposition.forEach(item => { FoodDataArray.push(new FoodData(item.name, item.image, item.category, item.calories, item.protein, item.fat, item.carbohydrates, item.vitaminC )); }) return FoodDataArray; } “`

The data resources for the diet application are now ready. You can continue to create a food category list by loading the data.