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Create operations.js
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src/space/operations.js

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// src/space/operations.js - Ultra Advanced Operations Module
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const { logError, logInfo } = require('./logger'); // Import logger for error handling
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const AIModel = require('./aiModel'); // Import AI model for predictions
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class Operations {
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constructor(aiModel) {
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this.aiModel = aiModel; // Instance of AI model for predictions
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this.currentOperations = {}; // Store current operational parameters
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}
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async adapt(analysis) {
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try {
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logInfo('Adapting operations based on analysis...');
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const recommendations = await this.generateRecommendations(analysis);
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this.applyRecommendations(recommendations);
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logInfo('Operations adapted successfully.');
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} catch (error) {
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logError('Error adapting operations:', error);
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throw new Error('Failed to adapt operations');
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}
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}
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async generateRecommendations(analysis) {
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// Use AI model to generate recommendations based on analysis
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logInfo('Generating recommendations...');
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const predictions = await this.aiModel.analyze(analysis);
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// Transform predictions into actionable recommendations
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const recommendations = this.transformPredictionsToRecommendations(predictions);
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return recommendations;
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}
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transformPredictionsToRecommendations(predictions) {
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// Implement logic to convert predictions into operational recommendations
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// This is a placeholder for actual transformation logic
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const recommendations = predictions.map(prediction => {
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return {
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action: 'update', // Example action
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parameter: 'someParameter', // Example parameter
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value: prediction[0] // Example value from prediction
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};
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});
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return recommendations;
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}
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applyRecommendations(recommendations) {
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recommendations.forEach(rec => {
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// Apply each recommendation to current operations
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this.currentOperations[rec.parameter] = rec.value;
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logInfo(`Applied recommendation: ${rec.action} ${rec.parameter} = ${rec.value}`);
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});
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}
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getCurrentOperations() {
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return this.currentOperations; // Return current operational parameters
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}
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}
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// Example usage
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(async () => {
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const aiModel = new AIModel('path/to/model.json'); // Specify the model path
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await aiModel.initialize(); // Initialize the AI model
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const operations = new Operations(aiModel); // Create an instance of Operations
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// Simulate analysis data
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const analysisData = {
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regulationChanges: [
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{ id: 'reg1', impact: 'high' },
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{ id: 'reg2', impact: 'medium' }
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]
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};
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try {
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await operations.adapt(analysisData); // Adapt operations based on analysis
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console.log('Current Operations:', operations.getCurrentOperations());
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} catch (error) {
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console.error('Error:', error.message);
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}
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})();
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module.exports = Operations;

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