jay-code/src/ui/web-ui/views/NeuralNetworkView.js

Streamlined AI CLI orchestration engine with mathematical rigor and enterprise-grade reliability

/**
 * Neural Network View - Interface for neural network operations
 * Handles training, prediction, pattern analysis, and model management
 */

export default class NeuralNetworkView {
  constructor(container, eventBus, viewConfig) {
    this.container = container;
    this.eventBus = eventBus;
    this.viewConfig = viewConfig;
    this.componentLibrary = null;
    this.models = new Map();
    this.trainingJobs = new Map();
    this.currentTab = 'overview';
    this.isInitialized = false;
  }

  /**
   * Initialize the neural network view
   */
  async initialize() {
    if (this.isInitialized) return;

    // Get component library from event bus
    this.eventBus.emit('component-library:get', (library) => {
      this.componentLibrary = library;
    });

    // Setup event handlers
    this.setupEventHandlers();

    this.isInitialized = true;
  }

  /**
   * Render the view with given parameters
   */
  async render(params = {}) {
    if (!this.isInitialized) {
      await this.initialize();
    }

    // Clear container
    if (this.container) {
      this.container.innerHTML = '';
      this.createNeuralNetworkInterface();
    } else {
      // Terminal mode
      this.renderTerminalMode(params);
    }
  }

  /**
   * Create neural network interface for browser
   */
  createNeuralNetworkInterface() {
    // Create tab container
    const tabs = [
      { label: '📊 Overview', content: this.createOverviewTab() },
      { label: '🧠 Training', content: this.createTrainingTab() },
      { label: '🔮 Prediction', content: this.createPredictionTab() },
      { label: '🎯 Patterns', content: this.createPatternsTab() },
      { label: '💾 Models', content: this.createModelsTab() },
      { label: '⚡ Optimization', content: this.createOptimizationTab() },
    ];

    if (this.componentLibrary) {
      const tabContainer = this.componentLibrary.getComponent('TabContainer')(tabs);
      this.container.appendChild(tabContainer.element);
    } else {
      // Fallback without component library
      this.createFallbackInterface();
    }
  }

  /**
   * Create overview tab content
   */
  createOverviewTab() {
    return `
      <div class="neural-overview">
        <div class="stats-grid">
          <div id="models-stat" class="stat-card">
            <div class="stat-icon">🧠</div>
            <div class="stat-content">
              <div class="stat-value">0</div>
              <div class="stat-label">Models</div>
            </div>
          </div>
          <div id="training-stat" class="stat-card">
            <div class="stat-icon">⚡</div>
            <div class="stat-content">
              <div class="stat-value">0</div>
              <div class="stat-label">Training Jobs</div>
            </div>
          </div>
          <div id="accuracy-stat" class="stat-card">
            <div class="stat-icon">🎯</div>
            <div class="stat-content">
              <div class="stat-value">--</div>
              <div class="stat-label">Avg Accuracy</div>
            </div>
          </div>
          <div id="wasm-stat" class="stat-card">
            <div class="stat-icon">🚀</div>
            <div class="stat-content">
              <div class="stat-value">--</div>
              <div class="stat-label">WASM Status</div>
            </div>
          </div>
        </div>
        
        <div class="neural-tools">
          <h3>🔧 Quick Actions</h3>
          <div class="tool-buttons">
            <button onclick="this.startQuickTrain()" class="neural-btn primary">
              🧠 Quick Train
            </button>
            <button onclick="this.checkModels()" class="neural-btn secondary">
              📋 List Models
            </button>
            <button onclick="this.runPrediction()" class="neural-btn secondary">
              🔮 Test Prediction
            </button>
            <button onclick="this.analyzePatterns()" class="neural-btn secondary">
              🎯 Analyze Patterns
            </button>
          </div>
        </div>

        <div class="recent-activity">
          <h3>📈 Recent Activity</h3>
          <div id="activity-log" class="activity-list">
            <div class="activity-item">
              <span class="activity-time">--:--</span>
              <span class="activity-desc">No recent activity</span>
            </div>
          </div>
        </div>
      </div>
    `;
  }

  /**
   * Create training tab content
   */
  createTrainingTab() {
    return `
      <div class="neural-training">
        <div class="training-form">
          <h3>🧠 Neural Network Training</h3>
          
          <div class="form-group">
            <label>Pattern Type:</label>
            <select id="pattern-type">
              <option value="coordination">Coordination</option>
              <option value="optimization">Optimization</option>
              <option value="prediction">Prediction</option>
            </select>
          </div>
          
          <div class="form-group">
            <label>Training Data:</label>
            <textarea id="training-data" placeholder="Enter training data or file path..."></textarea>
          </div>
          
          <div class="form-group">
            <label>Epochs:</label>
            <input type="number" id="epochs" value="50" min="1" max="1000">
          </div>
          
          <div class="form-group">
            <label>Learning Rate:</label>
            <input type="number" id="learning-rate" value="0.001" step="0.001" min="0.0001" max="1">
          </div>
          
          <button onclick="this.startTraining()" class="neural-btn primary">
            ⚡ Start Training
          </button>
        </div>
        
        <div class="training-progress">
          <h3>📊 Training Progress</h3>
          <div id="training-status" class="status-display">
            <div class="status-idle">No training in progress</div>
          </div>
          
          <div id="training-chart" class="chart-container">
            <!-- Training progress chart will be inserted here -->
          </div>
        </div>
        
        <div class="training-history">
          <h3>📋 Training History</h3>
          <div id="training-history-list" class="history-list">
            <!-- Training history will be populated here -->
          </div>
        </div>
      </div>
    `;
  }

  /**
   * Create prediction tab content
   */
  createPredictionTab() {
    return `
      <div class="neural-prediction">
        <div class="prediction-form">
          <h3>🔮 AI Prediction</h3>
          
          <div class="form-group">
            <label>Model:</label>
            <select id="prediction-model">
              <option value="">Select a model...</option>
            </select>
          </div>
          
          <div class="form-group">
            <label>Input Data:</label>
            <textarea id="prediction-input" placeholder="Enter input data for prediction..."></textarea>
          </div>
          
          <button onclick="this.runPrediction()" class="neural-btn primary">
            🔮 Run Prediction
          </button>
        </div>
        
        <div class="prediction-results">
          <h3>📊 Prediction Results</h3>
          <div id="prediction-output" class="results-display">
            <div class="no-results">No predictions yet</div>
          </div>
          
          <div class="confidence-display">
            <h4>🎯 Confidence Score</h4>
            <div id="confidence-bar" class="confidence-bar">
              <div class="confidence-fill" style="width: 0%"></div>
              <span class="confidence-text">0%</span>
            </div>
          </div>
        </div>
        
        <div class="prediction-history">
          <h3>📋 Recent Predictions</h3>
          <div id="prediction-history-list" class="history-list">
            <!-- Prediction history will be populated here -->
          </div>
        </div>
      </div>
    `;
  }

  /**
   * Create patterns tab content
   */
  createPatternsTab() {
    return `
      <div class="neural-patterns">
        <div class="pattern-analysis">
          <h3>🎯 Pattern Analysis</h3>
          
          <div class="form-group">
            <label>Analysis Type:</label>
            <select id="analysis-type">
              <option value="analyze">Analyze</option>
              <option value="learn">Learn</option>
              <option value="predict">Predict</option>
            </select>
          </div>
          
          <div class="form-group">
            <label>Operation:</label>
            <input type="text" id="pattern-operation" placeholder="Describe the operation...">
          </div>
          
          <div class="form-group">
            <label>Outcome:</label>
            <input type="text" id="pattern-outcome" placeholder="Expected or actual outcome...">
          </div>
          
          <button onclick="this.analyzePattern()" class="neural-btn primary">
            🎯 Analyze Pattern
          </button>
        </div>
        
        <div class="pattern-results">
          <h3>📊 Pattern Insights</h3>
          <div id="pattern-insights" class="insights-display">
            <div class="no-insights">No pattern analysis yet</div>
          </div>
        </div>
        
        <div class="cognitive-analysis">
          <h3>🧠 Cognitive Analysis</h3>
          
          <div class="form-group">
            <label>Behavior to Analyze:</label>
            <textarea id="behavior-input" placeholder="Describe the behavior or process to analyze..."></textarea>
          </div>
          
          <button onclick="this.analyzeCognitive()" class="neural-btn secondary">
            🧠 Analyze Behavior
          </button>
          
          <div id="cognitive-results" class="cognitive-display">
            <!-- Cognitive analysis results will appear here -->
          </div>
        </div>
      </div>
    `;
  }

  /**
   * Create models tab content
   */
  createModelsTab() {
    return `
      <div class="neural-models">
        <div class="model-management">
          <h3>💾 Model Management</h3>
          
          <div class="model-actions">
            <button onclick="this.loadModel()" class="neural-btn primary">
              📥 Load Model
            </button>
            <button onclick="this.saveCurrentModel()" class="neural-btn secondary">
              💾 Save Model
            </button>
            <button onclick="this.createEnsemble()" class="neural-btn secondary">
              🔗 Create Ensemble
            </button>
          </div>
        </div>
        
        <div class="model-list">
          <h3>📋 Available Models</h3>
          <div id="models-list" class="models-grid">
            <!-- Model cards will be populated here -->
          </div>
        </div>
        
        <div class="model-operations">
          <h3>🔧 Model Operations</h3>
          
          <div class="operation-grid">
            <div class="operation-card">
              <h4>🗜️ Compress Model</h4>
              <p>Reduce model size for faster inference</p>
              <button onclick="this.compressModel()" class="neural-btn">Compress</button>
            </div>
            
            <div class="operation-card">
              <h4>🔄 Transfer Learning</h4>
              <p>Adapt model to new domain</p>
              <button onclick="this.transferLearn()" class="neural-btn">Transfer</button>
            </div>
            
            <div class="operation-card">
              <h4>📊 Model Explain</h4>
              <p>Get AI explainability insights</p>
              <button onclick="this.explainModel()" class="neural-btn">Explain</button>
            </div>
          </div>
        </div>
      </div>
    `;
  }

  /**
   * Create optimization tab content
   */
  createOptimizationTab() {
    return `
      <div class="neural-optimization">
        <div class="wasm-optimization">
          <h3>🚀 WASM SIMD Optimization</h3>
          
          <div class="optimization-status">
            <div id="wasm-status" class="status-card">
              <div class="status-icon">🚀</div>
              <div class="status-text">Checking WASM status...</div>
            </div>
          </div>
          
          <div class="optimization-controls">
            <button onclick="this.optimizeWasm()" class="neural-btn primary">
              ⚡ Optimize WASM
            </button>
            <button onclick="this.checkWasmStatus()" class="neural-btn secondary">
              📊 Check Status
            </button>
          </div>
        </div>
        
        <div class="inference-optimization">
          <h3>🔮 Inference Optimization</h3>
          
          <div class="form-group">
            <label>Model for Inference:</label>
            <select id="inference-model">
              <option value="">Select model...</option>
            </select>
          </div>
          
          <div class="form-group">
            <label>Test Data:</label>
            <textarea id="inference-data" placeholder="Enter test data array..."></textarea>
          </div>
          
          <button onclick="this.runInference()" class="neural-btn primary">
            🔮 Run Inference
          </button>
          
          <div id="inference-results" class="inference-display">
            <!-- Inference results will appear here -->
          </div>
        </div>
        
        <div class="performance-metrics">
          <h3>📈 Performance Metrics</h3>
          
          <div class="metrics-grid">
            <div class="metric-card">
              <div class="metric-label">Inference Speed</div>
              <div id="inference-speed" class="metric-value">-- ms</div>
            </div>
            
            <div class="metric-card">
              <div class="metric-label">Memory Usage</div>
              <div id="memory-usage" class="metric-value">-- MB</div>
            </div>
            
            <div class="metric-card">
              <div class="metric-label">WASM Speedup</div>
              <div id="wasm-speedup" class="metric-value">--x</div>
            </div>
          </div>
        </div>
      </div>
    `;
  }

  /**
   * Create fallback interface without component library
   */
  createFallbackInterface() {
    this.container.innerHTML = `
      <div class="neural-network-fallback">
        <h2>🧠 Neural Network Operations</h2>
        <p>Advanced neural network interface with 15 integrated tools</p>
        
        <div class="tool-sections">
          <div class="tool-section">
            <h3>🧠 Training & Models</h3>
            <button onclick="this.quickAction('neural_train')">Train Neural Network</button>
            <button onclick="this.quickAction('neural_status')">Check Status</button>
            <button onclick="this.quickAction('model_save')">Save Model</button>
            <button onclick="this.quickAction('model_load')">Load Model</button>
          </div>
          
          <div class="tool-section">
            <h3>🔮 Prediction & Analysis</h3>
            <button onclick="this.quickAction('neural_predict')">Make Prediction</button>
            <button onclick="this.quickAction('neural_patterns')">Analyze Patterns</button>
            <button onclick="this.quickAction('cognitive_analyze')">Cognitive Analysis</button>
            <button onclick="this.quickAction('pattern_recognize')">Pattern Recognition</button>
          </div>
          
          <div class="tool-section">
            <h3>⚡ Optimization</h3>
            <button onclick="this.quickAction('wasm_optimize')">WASM Optimization</button>
            <button onclick="this.quickAction('neural_compress')">Compress Model</button>
            <button onclick="this.quickAction('inference_run')">Run Inference</button>
            <button onclick="this.quickAction('neural_explain')">Explain Model</button>
          </div>
        </div>
        
        <div id="neural-output" class="output-area">
          <h3>📊 Output</h3>
          <pre id="output-content">Ready for neural operations...</pre>
        </div>
      </div>
    `;
  }

  /**
   * Render terminal mode
   */
  renderTerminalMode(params) {
    console.log('\n🧠 Neural Network Operations');
    console.log('═'.repeat(50));
    console.log('Available Tools (15):');
    console.log('  🧠 neural_train     - Train neural patterns');
    console.log('  🔮 neural_predict   - Make AI predictions');
    console.log('  📊 neural_status    - Check model status');
    console.log('  🎯 neural_patterns  - Analyze patterns');
    console.log('  💾 model_save       - Save trained models');
    console.log('  📥 model_load       - Load models');
    console.log('  🎯 pattern_recognize- Pattern recognition');
    console.log('  🧠 cognitive_analyze- Behavior analysis');
    console.log('  🔄 learning_adapt   - Adaptive learning');
    console.log('  🗜️ neural_compress  - Model compression');
    console.log('  🔗 ensemble_create  - Model ensembles');
    console.log('  🔄 transfer_learn   - Transfer learning');
    console.log('  📊 neural_explain   - AI explainability');
    console.log('  🚀 wasm_optimize    - WASM optimization');
    console.log('  🔮 inference_run    - Neural inference');
    console.log('═'.repeat(50));

    if (params.tool) {
      console.log(`\n🔧 Executing: ${params.tool}`);
      this.quickAction(params.tool, params);
    }
  }

  /**
   * Quick action handler
   */
  async quickAction(toolName, params = {}) {
    try {
      console.log(`🔧 Executing ${toolName}...`);

      // Emit tool execution event
      this.eventBus.emit('tool:execute', {
        tool: toolName,
        params: params,
        source: 'neural-view',
      });

      // Handle specific tool actions
      switch (toolName) {
        case 'neural_train':
          await this.handleTraining(params);
          break;
        case 'neural_predict':
          await this.handlePrediction(params);
          break;
        case 'neural_patterns':
          await this.handlePatternAnalysis(params);
          break;
        default:
          console.log(`Tool ${toolName} executed`);
      }
    } catch (error) {
      console.error(`❌ Error executing ${toolName}:`, error);
    }
  }

  /**
   * Handle training operations
   */
  async handleTraining(params) {
    const trainingParams = {
      pattern_type: params.pattern_type || 'coordination',
      training_data: params.training_data || 'sample_data',
      epochs: params.epochs || 50,
    };

    console.log('🧠 Training neural network with parameters:', trainingParams);

    // Update UI if in browser mode
    if (this.container) {
      const statusEl = document.getElementById('training-status');
      if (statusEl) {
        statusEl.innerHTML = '<div class="status-training">Training in progress...</div>';
      }
    }
  }

  /**
   * Handle prediction operations
   */
  async handlePrediction(params) {
    const predictionParams = {
      modelId: params.modelId || 'default_model',
      input: params.input || 'sample_input',
    };

    console.log('🔮 Running prediction with parameters:', predictionParams);

    // Update UI if in browser mode
    if (this.container) {
      const outputEl = document.getElementById('prediction-output');
      if (outputEl) {
        outputEl.innerHTML = '<div class="prediction-result">Prediction in progress...</div>';
      }
    }
  }

  /**
   * Handle pattern analysis
   */
  async handlePatternAnalysis(params) {
    const analysisParams = {
      action: params.action || 'analyze',
      operation: params.operation || 'sample_operation',
      outcome: params.outcome || 'sample_outcome',
    };

    console.log('🎯 Analyzing patterns with parameters:', analysisParams);

    // Update UI if in browser mode
    if (this.container) {
      const insightsEl = document.getElementById('pattern-insights');
      if (insightsEl) {
        insightsEl.innerHTML = '<div class="analysis-result">Pattern analysis in progress...</div>';
      }
    }
  }

  /**
   * Setup event handlers
   */
  setupEventHandlers() {
    // Listen for tool results
    this.eventBus.on('tool:executed', (data) => {
      if (data.source === 'neural-view') {
        this.handleToolResult(data);
      }
    });

    // Listen for real-time updates
    this.eventBus.on('ui:real-time:update', () => {
      this.updateStats();
    });

    // Listen for theme changes
    this.eventBus.on('ui:theme:changed', (theme) => {
      this.updateTheme(theme);
    });
  }

  /**
   * Handle tool execution results
   */
  handleToolResult(data) {
    console.log(`✅ Tool ${data.tool} completed:`, data.result);

    // Update UI based on result
    if (this.container) {
      this.updateUIWithResult(data.tool, data.result);
    }
  }

  /**
   * Update UI with tool results
   */
  updateUIWithResult(toolName, result) {
    // Update based on specific tool
    switch (toolName) {
      case 'neural_train':
        this.updateTrainingResults(result);
        break;
      case 'neural_predict':
        this.updatePredictionResults(result);
        break;
      case 'neural_patterns':
        this.updatePatternResults(result);
        break;
    }
  }

  /**
   * Update training results in UI
   */
  updateTrainingResults(result) {
    const statusEl = document.getElementById('training-status');
    if (statusEl) {
      statusEl.innerHTML = `
        <div class="status-complete">
          ✅ Training completed!
          <div class="training-metrics">
            <div>Epochs: ${result.epochs}</div>
            <div>Accuracy: ${result.accuracy}</div>
            <div>Loss: ${result.loss}</div>
          </div>
        </div>
      `;
    }
  }

  /**
   * Update prediction results in UI
   */
  updatePredictionResults(result) {
    const outputEl = document.getElementById('prediction-output');
    if (outputEl) {
      outputEl.innerHTML = `
        <div class="prediction-complete">
          <div class="prediction-value">${result.prediction}</div>
          <div class="prediction-confidence">Confidence: ${result.confidence}</div>
        </div>
      `;
    }

    // Update confidence bar
    const confidenceBar = document.querySelector('.confidence-fill');
    const confidenceText = document.querySelector('.confidence-text');
    if (confidenceBar && confidenceText) {
      const confidence = Math.round(result.confidence * 100);
      confidenceBar.style.width = `${confidence}%`;
      confidenceText.textContent = `${confidence}%`;
    }
  }

  /**
   * Update pattern analysis results
   */
  updatePatternResults(result) {
    const insightsEl = document.getElementById('pattern-insights');
    if (insightsEl) {
      insightsEl.innerHTML = `
        <div class="insights-complete">
          <div class="insights-title">Pattern Analysis Complete</div>
          <div class="insights-content">${result.insights}</div>
          <div class="patterns-found">
            Patterns: ${result.patterns ? result.patterns.join(', ') : 'None'}
          </div>
        </div>
      `;
    }
  }

  /**
   * Update statistics
   */
  updateStats() {
    // Update model count
    const modelsStatEl = document.getElementById('models-stat');
    if (modelsStatEl) {
      const valueEl = modelsStatEl.querySelector('.stat-value');
      if (valueEl) valueEl.textContent = this.models.size;
    }

    // Update training jobs count
    const trainingStatEl = document.getElementById('training-stat');
    if (trainingStatEl) {
      const valueEl = trainingStatEl.querySelector('.stat-value');
      if (valueEl) valueEl.textContent = this.trainingJobs.size;
    }
  }

  /**
   * Update theme
   */
  updateTheme(theme) {
    if (this.container) {
      this.container.classList.remove('theme-dark', 'theme-light');
      this.container.classList.add(`theme-${theme}`);
    }
  }

  /**
   * Destroy view and cleanup
   */
  destroy() {
    // Clear any intervals or timeouts
    // Remove event listeners
    // Clean up resources
    console.log('🧠 Neural Network View destroyed');
  }
}

// Add neural network specific styles
if (typeof document !== 'undefined') {
  const neuralStyles = document.createElement('style');
  neuralStyles.textContent = `
    .neural-overview {
      padding: 20px;
    }
    
    .stats-grid {
      display: grid;
      grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
      gap: 16px;
      margin-bottom: 24px;
    }
    
    .stat-card {
      display: flex;
      align-items: center;
      background: #2a2a2a;
      padding: 16px;
      border-radius: 8px;
      border: 1px solid #444;
    }
    
    .stat-icon {
      font-size: 24px;
      margin-right: 12px;
    }
    
    .stat-value {
      font-size: 24px;
      font-weight: bold;
      color: #00d4ff;
    }
    
    .stat-label {
      color: #888;
      font-size: 14px;
    }
    
    .neural-tools {
      margin: 24px 0;
    }
    
    .tool-buttons {
      display: flex;
      gap: 12px;
      flex-wrap: wrap;
    }
    
    .neural-btn {
      padding: 10px 16px;
      border: none;
      border-radius: 6px;
      cursor: pointer;
      font-weight: 500;
      transition: all 0.2s ease;
    }
    
    .neural-btn.primary {
      background: #00d4ff;
      color: #000;
    }
    
    .neural-btn.primary:hover {
      background: #00b8e6;
    }
    
    .neural-btn.secondary {
      background: #444;
      color: #fff;
    }
    
    .neural-btn.secondary:hover {
      background: #555;
    }
    
    .form-group {
      margin-bottom: 16px;
    }
    
    .form-group label {
      display: block;
      margin-bottom: 4px;
      color: #fff;
      font-weight: 500;
    }
    
    .form-group input,
    .form-group select,
    .form-group textarea {
      width: 100%;
      padding: 8px 12px;
      background: #1a1a1a;
      border: 1px solid #444;
      border-radius: 4px;
      color: #fff;
    }
    
    .form-group textarea {
      height: 100px;
      resize: vertical;
    }
    
    .confidence-bar {
      position: relative;
      background: #1a1a1a;
      border: 1px solid #444;
      border-radius: 4px;
      height: 24px;
      overflow: hidden;
    }
    
    .confidence-fill {
      height: 100%;
      background: linear-gradient(90deg, #00d4ff, #0099cc);
      transition: width 0.3s ease;
    }
    
    .confidence-text {
      position: absolute;
      top: 50%;
      left: 50%;
      transform: translate(-50%, -50%);
      color: #fff;
      font-size: 12px;
      font-weight: bold;
    }
    
    .operation-grid {
      display: grid;
      grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
      gap: 16px;
    }
    
    .operation-card {
      background: #2a2a2a;
      border: 1px solid #444;
      border-radius: 8px;
      padding: 16px;
    }
    
    .operation-card h4 {
      margin: 0 0 8px 0;
      color: #00d4ff;
    }
    
    .operation-card p {
      margin: 0 0 12px 0;
      color: #888;
      font-size: 14px;
    }
  `;
  document.head.appendChild(neuralStyles);
}