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| 1 | +// src/tokens/soaa.js - Self-Optimizing Adoption Accelerator Module |
| 2 | + |
| 3 | +import axios from 'axios'; // For making API requests |
| 4 | +import { MachineLearningModel } from './mlModel'; // Import a mock ML model |
| 5 | + |
| 6 | +class SelfOptimizingAdoptionAccelerator { |
| 7 | + constructor() { |
| 8 | + this.userData = {}; |
| 9 | + this.educationMaterials = []; |
| 10 | + this.satelliteNodes = []; |
| 11 | + this.mlModel = new MachineLearningModel(); // Initialize the ML model |
| 12 | + } |
| 13 | + |
| 14 | + // Method to initialize the SOAA |
| 15 | + async initialize() { |
| 16 | + try { |
| 17 | + await this.loadEducationMaterials(); |
| 18 | + await this.loadUser Data(); |
| 19 | + this.optimizeUser Experience(); |
| 20 | + this.distributeSatelliteNodes(); |
| 21 | + } catch (error) { |
| 22 | + console.error('Initialization error:', error); |
| 23 | + } |
| 24 | + } |
| 25 | + |
| 26 | + // Load educational materials from an external API |
| 27 | + async loadEducationMaterials() { |
| 28 | + try { |
| 29 | + const response = await axios.get('https://api.example.com/education-materials'); |
| 30 | + this.educationMaterials = response.data; |
| 31 | + } catch (error) { |
| 32 | + console.error('Error loading educational materials:', error); |
| 33 | + this.educationMaterials = this.getFallbackMaterials(); // Fallback materials |
| 34 | + } |
| 35 | + } |
| 36 | + |
| 37 | + // Load user data for personalization from an external API |
| 38 | + async loadUser Data() { |
| 39 | + try { |
| 40 | + const response = await axios.get('https://api.example.com/user-data'); |
| 41 | + this.userData = response.data; |
| 42 | + } catch (error) { |
| 43 | + console.error('Error loading user data:', error); |
| 44 | + this.userData = this.getFallbackUser Data(); // Fallback user data |
| 45 | + } |
| 46 | + } |
| 47 | + |
| 48 | + // Optimize user experience based on data |
| 49 | + optimizeUser Experience() { |
| 50 | + const preferredMaterials = this.educationMaterials.filter(material => |
| 51 | + this.userData.preferences.preferredTopics.includes(material.title) |
| 52 | + ); |
| 53 | + this.displayEducationalContent(preferredMaterials); |
| 54 | + } |
| 55 | + |
| 56 | + // Display educational content to the user |
| 57 | + displayEducationalContent(materials) { |
| 58 | + materials.forEach(material => { |
| 59 | + console.log(`Title: ${material.title}`); |
| 60 | + console.log(`Content: ${material.content}`); |
| 61 | + // Here you could integrate a UI framework to display content interactively |
| 62 | + }); |
| 63 | + } |
| 64 | + |
| 65 | + // Method to distribute satellite nodes intelligently |
| 66 | + distributeSatelliteNodes() { |
| 67 | + const optimalLocations = this.mlModel.predictOptimalLocations(this.educationMaterials); |
| 68 | + this.satelliteNodes = optimalLocations.map(location => ({ |
| 69 | + location, |
| 70 | + status: 'active', // Set status based on some criteria |
| 71 | + })); |
| 72 | + console.log('Distributed satellite nodes:', this.satelliteNodes); |
| 73 | + } |
| 74 | + |
| 75 | + // Fallback educational materials |
| 76 | + getFallbackMaterials() { |
| 77 | + return [ |
| 78 | + { id: 1, title: 'Introduction to GTC/GU', content: 'Fallback content for GTC/GU.' }, |
| 79 | + { id: 2, title: 'Benefits of GTC/GU', content: 'Fallback content for benefits.' }, |
| 80 | + ]; |
| 81 | + } |
| 82 | + |
| 83 | + // Fallback user data |
| 84 | + getFallbackUser Data() { |
| 85 | + return { |
| 86 | + preferences: { |
| 87 | + preferredTopics: ['GTC', 'GU'], |
| 88 | + interactionHistory: [], |
| 89 | + }, |
| 90 | + }; |
| 91 | + } |
| 92 | +} |
| 93 | + |
| 94 | +export default SelfOptimizingAdoptionAccelerator; |
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