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Datasourceforcryptocurrency / static /pages /models /models.js

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/**
 * AI Models Page - Hugging Face Integration
 * Fixed version with proper error handling
 */

import { APIHelper } from '../../shared/js/utils/api-helper.js';
import { modelsClient } from '../../shared/js/core/models-client.js';
import { api } from '../../shared/js/core/api-client.js';
import logger from '../../shared/js/utils/logger.js';

class ModelsPage {
  constructor() {
    this.models = [];
    this.refreshInterval = null;
  }

  async init() {
    try {
      console.log('[Models] Initializing...');
      
      this.bindEvents();
      await this.loadModels();
      
      this.refreshInterval = setInterval(() => this.loadModels(), 60000);
      
      this.showToast('Models page ready', 'success');
    } catch (error) {
      console.error('[Models] Init error:', error);
      this.showToast('Failed to load models', 'error');
    }
  }

  bindEvents() {
    // Refresh button
    const refreshBtn = document.getElementById('refresh-btn');
    if (refreshBtn) {
      refreshBtn.addEventListener('click', () => {
        this.loadModels();
      });
    }

    // Tab switching
    document.querySelectorAll('.tab-btn').forEach(btn => {
      btn.addEventListener('click', (e) => {
        const tabId = e.currentTarget.dataset.tab;
        this.switchTab(tabId);
      });
    });

    // Test model button
    const runTestBtn = document.getElementById('run-test-btn');
    if (runTestBtn) {
      runTestBtn.addEventListener('click', () => {
        this.runTest();
      });
    }

    // Clear test button
    const clearTestBtn = document.getElementById('clear-test-btn');
    if (clearTestBtn) {
      clearTestBtn.addEventListener('click', () => {
        this.clearTest();
      });
    }

    // Example buttons
    document.querySelectorAll('.example-btn').forEach(btn => {
      btn.addEventListener('click', (e) => {
        const text = e.currentTarget.dataset.text;
        const testInput = document.getElementById('test-input');
        if (testInput) {
          testInput.value = text;
        }
      });
    });

    // Re-initialize all button
    const reinitBtn = document.getElementById('reinit-all-btn');
    if (reinitBtn) {
      reinitBtn.addEventListener('click', () => {
        this.reinitializeAll();
      });
    }
  }

  switchTab(tabId) {
    // Remove active class from all tabs and contents
    document.querySelectorAll('.tab-btn').forEach(btn => {
      btn.classList.remove('active');
    });
    document.querySelectorAll('.tab-content').forEach(content => {
      content.classList.remove('active');
    });

    // Add active class to selected tab and content
    const selectedBtn = document.querySelector(`[data-tab="${tabId}"]`);
    const selectedContent = document.getElementById(`tab-${tabId}`);

    if (selectedBtn) {
      selectedBtn.classList.add('active');
    }

    if (selectedContent) {
      selectedContent.classList.add('active');
    }

    console.log(`[Models] Switched to tab: ${tabId}`);
  }

  async loadModels() {
    const container = document.getElementById('models-grid') || document.getElementById('models-container') || document.querySelector('.models-list');
    
    // Show loading state
    if (container) {
      container.innerHTML = `
        <div class="loading-state">
          <div class="loading-spinner"></div>
          <p class="loading-text">Loading AI models...</p>
        </div>
      `;
    }
    
    try {
      logger.info('Models', 'Loading models data...');
      let payload = null;
      let rawModels = [];
      
      // Strategy 1: Try /api/models/list endpoint
      try {
        logger.debug('Models', 'Attempting to load via /api/models/list...');
        const response = await fetch('/api/models/list', {
          method: 'GET',
          headers: { 'Content-Type': 'application/json' },
          signal: AbortSignal.timeout(10000)
        });
        
        if (response.ok) {
          payload = await response.json();
          
          // Extract models array
          if (Array.isArray(payload.models)) {
            rawModels = payload.models;
            logger.info('Models', `Loaded ${rawModels.length} models via /api/models/list`);
          }
        }
      } catch (e) {
        logger.warn('Models', '/api/models/list failed:', e?.message || 'Unknown error');
      }

      // Strategy 2: Try /api/models/status if first failed
      if (!payload || rawModels.length === 0) {
        try {
          logger.debug('Models', 'Attempting to load via /api/models/status...');
          const response = await fetch('/api/models/status', {
            method: 'GET',
            headers: { 'Content-Type': 'application/json' },
            signal: AbortSignal.timeout(10000)
          });
          
          if (response.ok) {
            const statusData = await response.json();
            payload = statusData;
            
            // Try to get models from model_info
            if (statusData.model_info?.models) {
              rawModels = Object.values(statusData.model_info.models);
              logger.info('Models', `Loaded ${rawModels.length} models via /api/models/status`);
            }
          }
        } catch (e) {
          logger.warn('Models', '/api/models/status failed:', e?.message || 'Unknown error');
        }
      }

      // Strategy 3: Try /api/models/summary endpoint
      if (!payload || rawModels.length === 0) {
        try {
          logger.debug('Models', 'Attempting to load via /api/models/summary...');
          const response = await fetch('/api/models/summary', {
            method: 'GET',
            headers: { 'Content-Type': 'application/json' },
            signal: AbortSignal.timeout(10000)
          });
          
          if (response.ok) {
            const summaryData = await response.json();
            payload = summaryData;
            
            // Extract from categories
            if (summaryData.categories) {
              for (const [category, categoryModels] of Object.entries(summaryData.categories)) {
                if (Array.isArray(categoryModels)) {
                  rawModels.push(...categoryModels);
                }
              }
              logger.info('Models', `Loaded ${rawModels.length} models via /api/models/summary`);
            }
          }
        } catch (e) {
          logger.warn('Models', '/api/models/summary failed:', e?.message || 'Unknown error');
        }
      }

      // Process models if we got any data
      if (Array.isArray(rawModels) && rawModels.length > 0) {
        this.models = rawModels.map((m, idx) => ({
          key: m.key || m.id || `model_${idx}`,
          name: m.name || m.model_id || 'AI Model',
          model_id: m.model_id || m.id || 'huggingface/model',
          category: m.category || 'Hugging Face',
          task: m.task || 'Sentiment Analysis',
          loaded: m.loaded === true || m.status === 'ready' || m.status === 'healthy',
          failed: m.failed === true || m.error || m.status === 'failed' || m.status === 'unavailable',
          requires_auth: !!m.requires_auth,
          status: m.loaded ? 'loaded' : m.failed ? 'failed' : 'available',
          error_count: m.error_count || 0,
          description: m.description || `${m.name || m.model_id || 'Model'} - ${m.task || 'AI Model'}`
        }));
        logger.info('Models', `Successfully processed ${this.models.length} models`);
      } else {
        logger.warn('Models', 'No models found in any endpoint, using fallback data');
        this.models = this.getFallbackModels();
      }

      this.renderModels();

      // Update stats from payload or calculate from models
      const stats = {
        total_models: payload?.total || payload?.total_models || this.models.length,
        models_loaded: payload?.models_loaded || payload?.loaded_models || this.models.filter(m => m.loaded).length,
        models_failed: payload?.models_failed || payload?.failed_models || this.models.filter(m => m.failed).length,
        hf_mode: payload?.hf_mode || (payload ? 'API' : 'Fallback'),
        hf_status: payload ? 'Connected' : 'Using fallback data',
        transformers_available: payload?.transformers_available || false
      };

      this.renderStats(stats);
      this.updateTimestamp();
      
      // Populate test model select
      this.populateTestModelSelect();
      
    } catch (error) {
      logger.error('Models', 'Load error:', error?.message || 'Unknown error');
      
      // Show error message
      this.showToast(`Failed to load models: ${error?.message || 'Unknown error'}`, 'error');
      
      // NO FALLBACK - Show error if API fails
      this.models = [];
      this.renderModels();
      this.renderStats({ 
        total_models: 0, 
        models_loaded: 0, 
        models_failed: 0, 
        hf_mode: 'Error', 
        hf_status: 'API unavailable - no data available',
        transformers_available: false
      });
      this.updateTimestamp();
    }
  }
  
  populateTestModelSelect() {
    const testModelSelect = document.getElementById('test-model-select');
    if (testModelSelect && this.models.length > 0) {
      testModelSelect.innerHTML = '<option value="">Select a model...</option>';
      
      this.models.forEach(model => {
        if (model.loaded) {
          const option = document.createElement('option');
          option.value = model.key;
          option.textContent = `${model.name} (${model.category})`;
          testModelSelect.appendChild(option);
        }
      });
    }
  }

  /**
   * Extract models array from various payload structures
   */
  extractModelsArray(payload) {
    if (!payload) return [];
    
    // Try different paths
    const paths = [
      payload.models,
      payload.model_info,
      payload.data,
      payload.categories ? Object.values(payload.categories).flat() : null
    ];
    
    for (const path of paths) {
      if (Array.isArray(path) && path.length > 0) {
        return path;
      }
    }
    
    return [];
  }

  getFallbackModels() {
    return [
      {
        key: 'sentiment_model',
        name: 'Sentiment Analysis',
        model_id: 'cardiffnlp/twitter-roberta-base-sentiment-latest',
        category: 'Hugging Face',
        task: 'Text Classification',
        loaded: false,
        failed: false,
        requires_auth: false,
        status: 'unknown',
        description: 'Advanced sentiment analysis for crypto market text. (Fallback - API unavailable)'
      },
      {
        key: 'market_analysis',
        name: 'Market Analysis',
        model_id: 'internal/coingecko-api',
        category: 'Market Data',
        task: 'Price Analysis',
        loaded: false,
        failed: false,
        requires_auth: false,
        status: 'unknown',
        description: 'Real-time market data analysis using CoinGecko API. (Fallback - API unavailable)'
      }
    ];
  }

  renderStats(data) {
    try {
      const stats = {
        'total-models': data.total_models ?? this.models.length,
        'active-models': data.models_loaded ?? this.models.filter(m => m.loaded).length,
        'failed-models': data.models_failed ?? this.models.filter(m => m.failed).length,
        'hf-mode': data.hf_mode ?? 'unknown',
        'hf-status': data.hf_status
      };

      for (const [id, value] of Object.entries(stats)) {
        const el = document.getElementById(id);
        if (el && value !== undefined) {
          el.textContent = value;
        }
      }
    } catch (err) {
      console.warn('[Models] renderStats skipped:', err?.message || 'Unknown error');
    }
  }

  renderModels() {
    const container = document.getElementById('models-grid') || document.getElementById('models-list');
    if (!container) {
      console.warn('[Models] Container not found');
      return;
    }

    if (!this.models || this.models.length === 0) {
      container.innerHTML = `
        <div class="empty-state glass-card" style="grid-column: 1 / -1;">
          <div class="empty-icon">🤖</div>
          <h3>No models loaded</h3>
          <p>Models will be loaded on demand when needed for AI features.</p>
          <button class="btn-gradient" onclick="window.modelsPage?.loadModels()">
            <svg xmlns="http://www.w3.org/2000/svg" width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polyline points="23 4 23 10 17 10"></polyline><polyline points="1 20 1 14 7 14"></polyline><path d="M3.51 9a9 9 0 0 1 14.85-3.36L23 10M1 14l4.64 4.36A9 9 0 0 0 20.49 15"></path></svg>
            Retry
          </button>
        </div>
      `;
      return;
    }

    container.innerHTML = this.models.map(model => {
      const statusClass = model.loaded ? 'loaded' : model.failed ? 'failed' : 'available';
      const statusText = model.loaded ? 'Loaded' : model.failed ? 'Failed' : 'Available';
      const statusBadgeClass = model.loaded ? 'loaded' : model.failed ? 'failed' : 'available';

      return `
        <div class="model-card ${statusClass}">
          <div class="model-header">
            <div class="model-icon">
              <svg xmlns="http://www.w3.org/2000/svg" width="32" height="32" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M9.5 2A2.5 2.5 0 0 1 12 4.5v15a2.5 2.5 0 0 1-4.96.44 2.5 2.5 0 0 1-2.96-3.08 3 3 0 0 1-.34-5.58 2.5 2.5 0 0 1 1.32-4.24 2.5 2.5 0 0 1 4.44-2z"></path><path d="M14.5 2A2.5 2.5 0 0 0 12 4.5v15a2.5 2.5 0 0 0 4.96.44 2.5 2.5 0 0 0 2.96-3.08 3 3 0 0 0 .34-5.58 2.5 2.5 0 0 0-1.32-4.24 2.5 2.5 0 0 0-4.44-2z"></path></svg>
            </div>
            <div class="model-info">
              <h3 class="model-name">${model.name}</h3>
              <p class="model-type">${model.category}</p>
            </div>
            <div class="model-status ${statusBadgeClass}">
              ${statusText}
            </div>
          </div>
          
          <div class="model-body">
            <div class="model-id">${model.model_id}</div>
            
            <div class="model-meta">
              <span class="meta-badge">
                <svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M12 2v20M2 12h20"></path></svg>
                ${model.task}
              </span>
              <span class="meta-badge">
                ${model.requires_auth ? '🔒 Auth Required' : '🔓 Public'}
              </span>
              ${model.error_count > 0 ? `<span class="meta-badge">⚠️ ${model.error_count} errors</span>` : ''}
            </div>
          </div>
          
          <div class="model-footer">
            <button class="btn" onclick="window.modelsPage?.testModel('${model.key}')" ${!model.loaded ? 'disabled' : ''} title="${model.loaded ? 'Test this model' : 'Model not loaded'}">
              <svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polygon points="5 3 19 12 5 21 5 3"></polygon></svg>
              Test
            </button>
            <button class="btn" onclick="window.modelsPage?.viewModelDetails('${model.key}')" title="View model details">
              <svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><circle cx="12" cy="12" r="10"></circle><line x1="12" y1="16" x2="12" y2="12"></line><line x1="12" y1="8" x2="12.01" y2="8"></line></svg>
              Info
            </button>
            ${model.failed ? `<button class="btn reinit" onclick="window.modelsPage?.reinitModel('${model.key}')" title="Retry loading this model">
              <svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polyline points="23 4 23 10 17 10"></polyline><path d="M21 14a9 9 0 0 1-18 0 9 9 0 0 1 18 0"></path></svg>
              Retry
            </button>` : ''}
          </div>
        </div>
      `;
    }).join('');
  }
  
  reinitModel(modelKey) {
    this.showToast(`Reinitializing model: ${modelKey}...`, 'info');
    // TODO: Implement model reinitialization
    setTimeout(() => {
      this.showToast('Model reinitialization not yet implemented', 'warning');
    }, 1000);
  }

  viewModelDetails(modelKey) {
    const model = this.models.find(m => m.key === modelKey);
    if (!model) return;
    this.showToast(`Model: ${model.name} - ${model.model_id}`, 'info');
  }

  async testModel(modelId) {
    this.showToast('Testing model...', 'info');
    
    try {
      const response = await fetch('/api/sentiment/analyze', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({ 
          text: 'Bitcoin is going to the moon! 🚀' 
        }),
        signal: AbortSignal.timeout(10000)
      });
      
      if (response.ok) {
        const result = await response.json();
        
        if (result && result.sentiment) {
          this.showToast(
            `Test successful: ${result.sentiment} (${(result.score * 100).toFixed(0)}%)`,
            'success'
          );
        } else {
          this.showToast('Test completed but no sentiment data returned', 'warning');
        }
      } else {
        this.showToast('Test failed: API error', 'error');
      }
    } catch (error) {
      console.error('[Models] Test failed:', error);
      this.showToast(`Test failed: ${error?.message || 'Unknown error'}`, 'error');
    }
  }

  updateTimestamp() {
    const el = document.getElementById('last-update');
    if (el) {
      el.textContent = `Updated: ${new Date().toLocaleTimeString()}`;
    }
  }

  async runTest() {
    const input = document.getElementById('test-input');
    const resultDiv = document.getElementById('test-result');
    const modelSelect = document.getElementById('test-model-select');

    if (!input || !input.value.trim()) {
      this.showToast('Please enter text to analyze', 'warning');
      return;
    }

    const text = input.value.trim();
    const modelId = modelSelect?.value || 'sentiment';

    this.showToast('Analyzing...', 'info');

    try {
      const response = await fetch('/api/sentiment/analyze', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({ text, model: modelId }),
        signal: AbortSignal.timeout(10000)
      });

      if (!response.ok) {
        throw new Error(`HTTP ${response.status}`);
      }

      const result = await response.json();

      // Show result
      if (resultDiv) {
        resultDiv.classList.remove('hidden');
      }

      // Update sentiment display
      const emoji = this.getSentimentEmoji(result.sentiment);
      const emojiEl = document.getElementById('sentiment-emoji');
      const labelEl = document.getElementById('sentiment-label');
      const confidenceEl = document.getElementById('sentiment-confidence');
      const timeEl = document.getElementById('result-time');
      const jsonPre = document.querySelector('.result-json');

      if (emojiEl) emojiEl.textContent = emoji;
      if (labelEl) labelEl.textContent = result.sentiment || 'Unknown';
      if (confidenceEl) {
        confidenceEl.textContent = result.score ? `Confidence: ${(result.score * 100).toFixed(1)}%` : '';
      }
      if (timeEl) timeEl.textContent = new Date().toLocaleTimeString();
      if (jsonPre) jsonPre.textContent = JSON.stringify(result, null, 2);

      this.showToast('Analysis complete!', 'success');
    } catch (error) {
      console.error('[Models] Test error:', error);
      this.showToast(`Analysis failed: ${error?.message || 'Unknown error'}`, 'error');
    }
  }

  getSentimentEmoji(sentiment) {
    const emojiMap = {
      'positive': '😊',
      'bullish': '📈',
      'negative': '😟',
      'bearish': '📉',
      'neutral': '😐',
      'buy': '🟢',
      'sell': '🔴',
      'hold': '🟡'
    };
    return emojiMap[sentiment?.toLowerCase()] || '📊';
  }

  clearTest() {
    const input = document.getElementById('test-input');
    const resultDiv = document.getElementById('test-result');

    if (input) {
      input.value = '';
    }

    if (resultDiv) {
      resultDiv.classList.add('hidden');
    }
  }

  async reinitializeAll() {
    this.showToast('Re-initializing all models...', 'info');

    try {
      const response = await fetch('/api/models/reinitialize', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        signal: AbortSignal.timeout(30000)
      });

      if (response.ok) {
        this.showToast('Models re-initialized successfully!', 'success');
        await this.loadModels();
      } else {
        throw new Error(`HTTP ${response.status}`);
      }
    } catch (error) {
      console.error('[Models] Re-initialize error:', error);
      this.showToast(`Re-initialization failed: ${error?.message || 'Unknown error'}`, 'error');
    }
  }

  showToast(message, type = 'info') {
    if (typeof APIHelper !== 'undefined' && APIHelper.showToast) {
      APIHelper.showToast(message, type);
    } else {
      console.log(`[Toast ${type}]`, message);
    }
  }
}

// Initialize
const modelsPage = new ModelsPage();
modelsPage.init();

// Expose globally for onclick handlers
window.modelsPage = modelsPage;

	/**
	* AI Models Page - Hugging Face Integration
	* Fixed version with proper error handling
	*/

	import { APIHelper } from '../../shared/js/utils/api-helper.js';
	import { modelsClient } from '../../shared/js/core/models-client.js';
	import { api } from '../../shared/js/core/api-client.js';
	import logger from '../../shared/js/utils/logger.js';

	class ModelsPage {
	constructor() {
	this.models = [];
	this.refreshInterval = null;
	}

	async init() {
	try {
	console.log('[Models] Initializing...');

	this.bindEvents();
	await this.loadModels();

	this.refreshInterval = setInterval(() => this.loadModels(), 60000);

	this.showToast('Models page ready', 'success');
	} catch (error) {
	console.error('[Models] Init error:', error);
	this.showToast('Failed to load models', 'error');
	}
	}

	bindEvents() {
	// Refresh button
	const refreshBtn = document.getElementById('refresh-btn');
	if (refreshBtn) {
	refreshBtn.addEventListener('click', () => {
	this.loadModels();
	});
	}

	// Tab switching
	document.querySelectorAll('.tab-btn').forEach(btn => {
	btn.addEventListener('click', (e) => {
	const tabId = e.currentTarget.dataset.tab;
	this.switchTab(tabId);
	});
	});

	// Test model button
	const runTestBtn = document.getElementById('run-test-btn');
	if (runTestBtn) {
	runTestBtn.addEventListener('click', () => {
	this.runTest();
	});
	}

	// Clear test button
	const clearTestBtn = document.getElementById('clear-test-btn');
	if (clearTestBtn) {
	clearTestBtn.addEventListener('click', () => {
	this.clearTest();
	});
	}

	// Example buttons
	document.querySelectorAll('.example-btn').forEach(btn => {
	btn.addEventListener('click', (e) => {
	const text = e.currentTarget.dataset.text;
	const testInput = document.getElementById('test-input');
	if (testInput) {
	testInput.value = text;
	}
	});
	});

	// Re-initialize all button
	const reinitBtn = document.getElementById('reinit-all-btn');
	if (reinitBtn) {
	reinitBtn.addEventListener('click', () => {
	this.reinitializeAll();
	});
	}
	}

	switchTab(tabId) {
	// Remove active class from all tabs and contents
	document.querySelectorAll('.tab-btn').forEach(btn => {
	btn.classList.remove('active');
	});
	document.querySelectorAll('.tab-content').forEach(content => {
	content.classList.remove('active');
	});

	// Add active class to selected tab and content
	const selectedBtn = document.querySelector(`[data-tab="${tabId}"]`);
	const selectedContent = document.getElementById(`tab-${tabId}`);

	if (selectedBtn) {
	selectedBtn.classList.add('active');
	}

	if (selectedContent) {
	selectedContent.classList.add('active');
	}

	console.log(`[Models] Switched to tab: ${tabId}`);
	}

	async loadModels() {
	const container = document.getElementById('models-grid') \|\| document.getElementById('models-container') \|\| document.querySelector('.models-list');

	// Show loading state
	if (container) {
	container.innerHTML = `
	<div class="loading-state">
	<div class="loading-spinner"></div>
	<p class="loading-text">Loading AI models...</p>
	</div>
	`;
	}

	try {
	logger.info('Models', 'Loading models data...');
	let payload = null;
	let rawModels = [];

	// Strategy 1: Try /api/models/list endpoint
	try {
	logger.debug('Models', 'Attempting to load via /api/models/list...');
	const response = await fetch('/api/models/list', {
	method: 'GET',
	headers: { 'Content-Type': 'application/json' },
	signal: AbortSignal.timeout(10000)
	});

	if (response.ok) {
	payload = await response.json();

	// Extract models array
	if (Array.isArray(payload.models)) {
	rawModels = payload.models;
	logger.info('Models', `Loaded ${rawModels.length} models via /api/models/list`);
	}
	}
	} catch (e) {
	logger.warn('Models', '/api/models/list failed:', e?.message \|\| 'Unknown error');
	}

	// Strategy 2: Try /api/models/status if first failed
	if (!payload \|\| rawModels.length === 0) {
	try {
	logger.debug('Models', 'Attempting to load via /api/models/status...');
	const response = await fetch('/api/models/status', {
	method: 'GET',
	headers: { 'Content-Type': 'application/json' },
	signal: AbortSignal.timeout(10000)
	});

	if (response.ok) {
	const statusData = await response.json();
	payload = statusData;

	// Try to get models from model_info
	if (statusData.model_info?.models) {
	rawModels = Object.values(statusData.model_info.models);
	logger.info('Models', `Loaded ${rawModels.length} models via /api/models/status`);
	}
	}
	} catch (e) {
	logger.warn('Models', '/api/models/status failed:', e?.message \|\| 'Unknown error');
	}
	}

	// Strategy 3: Try /api/models/summary endpoint
	if (!payload \|\| rawModels.length === 0) {
	try {
	logger.debug('Models', 'Attempting to load via /api/models/summary...');
	const response = await fetch('/api/models/summary', {
	method: 'GET',
	headers: { 'Content-Type': 'application/json' },
	signal: AbortSignal.timeout(10000)
	});

	if (response.ok) {
	const summaryData = await response.json();
	payload = summaryData;

	// Extract from categories
	if (summaryData.categories) {
	for (const [category, categoryModels] of Object.entries(summaryData.categories)) {
	if (Array.isArray(categoryModels)) {
	rawModels.push(...categoryModels);
	}
	}
	logger.info('Models', `Loaded ${rawModels.length} models via /api/models/summary`);
	}
	}
	} catch (e) {
	logger.warn('Models', '/api/models/summary failed:', e?.message \|\| 'Unknown error');
	}
	}

	// Process models if we got any data
	if (Array.isArray(rawModels) && rawModels.length > 0) {
	this.models = rawModels.map((m, idx) => ({
	key: m.key \|\| m.id \|\| `model_${idx}`,
	name: m.name \|\| m.model_id \|\| 'AI Model',
	model_id: m.model_id \|\| m.id \|\| 'huggingface/model',
	category: m.category \|\| 'Hugging Face',
	task: m.task \|\| 'Sentiment Analysis',
	loaded: m.loaded === true \|\| m.status === 'ready' \|\| m.status === 'healthy',
	failed: m.failed === true \|\| m.error \|\| m.status === 'failed' \|\| m.status === 'unavailable',
	requires_auth: !!m.requires_auth,
	status: m.loaded ? 'loaded' : m.failed ? 'failed' : 'available',
	error_count: m.error_count \|\| 0,
	description: m.description \|\| `${m.name \|\| m.model_id \|\| 'Model'} - ${m.task \|\| 'AI Model'}`
	}));
	logger.info('Models', `Successfully processed ${this.models.length} models`);
	} else {
	logger.warn('Models', 'No models found in any endpoint, using fallback data');
	this.models = this.getFallbackModels();
	}

	this.renderModels();

	// Update stats from payload or calculate from models
	const stats = {
	total_models: payload?.total \|\| payload?.total_models \|\| this.models.length,
	models_loaded: payload?.models_loaded \|\| payload?.loaded_models \|\| this.models.filter(m => m.loaded).length,
	models_failed: payload?.models_failed \|\| payload?.failed_models \|\| this.models.filter(m => m.failed).length,
	hf_mode: payload?.hf_mode \|\| (payload ? 'API' : 'Fallback'),
	hf_status: payload ? 'Connected' : 'Using fallback data',
	transformers_available: payload?.transformers_available \|\| false
	};

	this.renderStats(stats);
	this.updateTimestamp();

	// Populate test model select
	this.populateTestModelSelect();

	} catch (error) {
	logger.error('Models', 'Load error:', error?.message \|\| 'Unknown error');

	// Show error message
	this.showToast(`Failed to load models: ${error?.message \|\| 'Unknown error'}`, 'error');

	// NO FALLBACK - Show error if API fails
	this.models = [];
	this.renderModels();
	this.renderStats({
	total_models: 0,
	models_loaded: 0,
	models_failed: 0,
	hf_mode: 'Error',
	hf_status: 'API unavailable - no data available',
	transformers_available: false
	});
	this.updateTimestamp();
	}
	}

	populateTestModelSelect() {
	const testModelSelect = document.getElementById('test-model-select');
	if (testModelSelect && this.models.length > 0) {
	testModelSelect.innerHTML = '<option value="">Select a model...</option>';

	this.models.forEach(model => {
	if (model.loaded) {
	const option = document.createElement('option');
	option.value = model.key;
	option.textContent = `${model.name} (${model.category})`;
	testModelSelect.appendChild(option);
	}
	});
	}
	}

	/**
	* Extract models array from various payload structures
	*/
	extractModelsArray(payload) {
	if (!payload) return [];

	// Try different paths
	const paths = [
	payload.models,
	payload.model_info,
	payload.data,
	payload.categories ? Object.values(payload.categories).flat() : null
	];

	for (const path of paths) {
	if (Array.isArray(path) && path.length > 0) {
	return path;
	}
	}

	return [];
	}

	getFallbackModels() {
	return [
	{
	key: 'sentiment_model',
	name: 'Sentiment Analysis',
	model_id: 'cardiffnlp/twitter-roberta-base-sentiment-latest',
	category: 'Hugging Face',
	task: 'Text Classification',
	loaded: false,
	failed: false,
	requires_auth: false,
	status: 'unknown',
	description: 'Advanced sentiment analysis for crypto market text. (Fallback - API unavailable)'
	},
	{
	key: 'market_analysis',
	name: 'Market Analysis',
	model_id: 'internal/coingecko-api',
	category: 'Market Data',
	task: 'Price Analysis',
	loaded: false,
	failed: false,
	requires_auth: false,
	status: 'unknown',
	description: 'Real-time market data analysis using CoinGecko API. (Fallback - API unavailable)'
	}
	];
	}

	renderStats(data) {
	try {
	const stats = {
	'total-models': data.total_models ?? this.models.length,
	'active-models': data.models_loaded ?? this.models.filter(m => m.loaded).length,
	'failed-models': data.models_failed ?? this.models.filter(m => m.failed).length,
	'hf-mode': data.hf_mode ?? 'unknown',
	'hf-status': data.hf_status
	};

	for (const [id, value] of Object.entries(stats)) {
	const el = document.getElementById(id);
	if (el && value !== undefined) {
	el.textContent = value;
	}
	}
	} catch (err) {
	console.warn('[Models] renderStats skipped:', err?.message \|\| 'Unknown error');
	}
	}

	renderModels() {
	const container = document.getElementById('models-grid') \|\| document.getElementById('models-list');
	if (!container) {
	console.warn('[Models] Container not found');
	return;
	}

	if (!this.models \|\| this.models.length === 0) {
	container.innerHTML = `
	<div class="empty-state glass-card" style="grid-column: 1 / -1;">
	<div class="empty-icon">🤖</div>
	<h3>No models loaded</h3>
	<p>Models will be loaded on demand when needed for AI features.</p>
	<button class="btn-gradient" onclick="window.modelsPage?.loadModels()">
	<svg xmlns="http://www.w3.org/2000/svg" width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polyline points="23 4 23 10 17 10"></polyline><polyline points="1 20 1 14 7 14"></polyline><path d="M3.51 9a9 9 0 0 1 14.85-3.36L23 10M1 14l4.64 4.36A9 9 0 0 0 20.49 15"></path></svg>
	Retry
	</button>
	</div>
	`;
	return;
	}

	container.innerHTML = this.models.map(model => {
	const statusClass = model.loaded ? 'loaded' : model.failed ? 'failed' : 'available';
	const statusText = model.loaded ? 'Loaded' : model.failed ? 'Failed' : 'Available';
	const statusBadgeClass = model.loaded ? 'loaded' : model.failed ? 'failed' : 'available';

	return `
	<div class="model-card ${statusClass}">
	<div class="model-header">
	<div class="model-icon">
	<svg xmlns="http://www.w3.org/2000/svg" width="32" height="32" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M9.5 2A2.5 2.5 0 0 1 12 4.5v15a2.5 2.5 0 0 1-4.96.44 2.5 2.5 0 0 1-2.96-3.08 3 3 0 0 1-.34-5.58 2.5 2.5 0 0 1 1.32-4.24 2.5 2.5 0 0 1 4.44-2z"></path><path d="M14.5 2A2.5 2.5 0 0 0 12 4.5v15a2.5 2.5 0 0 0 4.96.44 2.5 2.5 0 0 0 2.96-3.08 3 3 0 0 0 .34-5.58 2.5 2.5 0 0 0-1.32-4.24 2.5 2.5 0 0 0-4.44-2z"></path></svg>
	</div>
	<div class="model-info">
	<h3 class="model-name">${model.name}</h3>
	<p class="model-type">${model.category}</p>
	</div>
	<div class="model-status ${statusBadgeClass}">
	${statusText}
	</div>
	</div>

	<div class="model-body">
	<div class="model-id">${model.model_id}</div>

	<div class="model-meta">
	<span class="meta-badge">
	<svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M12 2v20M2 12h20"></path></svg>
	${model.task}
	</span>
	<span class="meta-badge">
	${model.requires_auth ? '🔒 Auth Required' : '🔓 Public'}
	</span>
	${model.error_count > 0 ? `<span class="meta-badge">⚠️ ${model.error_count} errors</span>` : ''}
	</div>
	</div>

	<div class="model-footer">
	<button class="btn" onclick="window.modelsPage?.testModel('${model.key}')" ${!model.loaded ? 'disabled' : ''} title="${model.loaded ? 'Test this model' : 'Model not loaded'}">
	<svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polygon points="5 3 19 12 5 21 5 3"></polygon></svg>
	Test
	</button>
	<button class="btn" onclick="window.modelsPage?.viewModelDetails('${model.key}')" title="View model details">
	<svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><circle cx="12" cy="12" r="10"></circle><line x1="12" y1="16" x2="12" y2="12"></line><line x1="12" y1="8" x2="12.01" y2="8"></line></svg>
	Info
	</button>
	${model.failed ? `<button class="btn reinit" onclick="window.modelsPage?.reinitModel('${model.key}')" title="Retry loading this model">
	<svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polyline points="23 4 23 10 17 10"></polyline><path d="M21 14a9 9 0 0 1-18 0 9 9 0 0 1 18 0"></path></svg>
	Retry
	</button>` : ''}
	</div>
	</div>
	`;
	}).join('');
	}

	reinitModel(modelKey) {
	this.showToast(`Reinitializing model: ${modelKey}...`, 'info');
	// TODO: Implement model reinitialization
	setTimeout(() => {
	this.showToast('Model reinitialization not yet implemented', 'warning');
	}, 1000);
	}

	viewModelDetails(modelKey) {
	const model = this.models.find(m => m.key === modelKey);
	if (!model) return;
	this.showToast(`Model: ${model.name} - ${model.model_id}`, 'info');
	}

	async testModel(modelId) {
	this.showToast('Testing model...', 'info');

	try {
	const response = await fetch('/api/sentiment/analyze', {
	method: 'POST',
	headers: { 'Content-Type': 'application/json' },
	body: JSON.stringify({
	text: 'Bitcoin is going to the moon! 🚀'
	}),
	signal: AbortSignal.timeout(10000)
	});

	if (response.ok) {
	const result = await response.json();

	if (result && result.sentiment) {
	this.showToast(
	`Test successful: ${result.sentiment} (${(result.score * 100).toFixed(0)}%)`,
	'success'
	);
	} else {
	this.showToast('Test completed but no sentiment data returned', 'warning');
	}
	} else {
	this.showToast('Test failed: API error', 'error');
	}
	} catch (error) {
	console.error('[Models] Test failed:', error);
	this.showToast(`Test failed: ${error?.message \|\| 'Unknown error'}`, 'error');
	}
	}

	updateTimestamp() {
	const el = document.getElementById('last-update');
	if (el) {
	el.textContent = `Updated: ${new Date().toLocaleTimeString()}`;
	}
	}

	async runTest() {
	const input = document.getElementById('test-input');
	const resultDiv = document.getElementById('test-result');
	const modelSelect = document.getElementById('test-model-select');

	if (!input \|\| !input.value.trim()) {
	this.showToast('Please enter text to analyze', 'warning');
	return;
	}

	const text = input.value.trim();
	const modelId = modelSelect?.value \|\| 'sentiment';

	this.showToast('Analyzing...', 'info');

	try {
	const response = await fetch('/api/sentiment/analyze', {
	method: 'POST',
	headers: { 'Content-Type': 'application/json' },
	body: JSON.stringify({ text, model: modelId }),
	signal: AbortSignal.timeout(10000)
	});

	if (!response.ok) {
	throw new Error(`HTTP ${response.status}`);
	}

	const result = await response.json();

	// Show result
	if (resultDiv) {
	resultDiv.classList.remove('hidden');
	}

	// Update sentiment display
	const emoji = this.getSentimentEmoji(result.sentiment);
	const emojiEl = document.getElementById('sentiment-emoji');
	const labelEl = document.getElementById('sentiment-label');
	const confidenceEl = document.getElementById('sentiment-confidence');
	const timeEl = document.getElementById('result-time');
	const jsonPre = document.querySelector('.result-json');

	if (emojiEl) emojiEl.textContent = emoji;
	if (labelEl) labelEl.textContent = result.sentiment \|\| 'Unknown';
	if (confidenceEl) {
	confidenceEl.textContent = result.score ? `Confidence: ${(result.score * 100).toFixed(1)}%` : '';
	}
	if (timeEl) timeEl.textContent = new Date().toLocaleTimeString();
	if (jsonPre) jsonPre.textContent = JSON.stringify(result, null, 2);

	this.showToast('Analysis complete!', 'success');
	} catch (error) {
	console.error('[Models] Test error:', error);
	this.showToast(`Analysis failed: ${error?.message \|\| 'Unknown error'}`, 'error');
	}
	}

	getSentimentEmoji(sentiment) {
	const emojiMap = {
	'positive': '😊',
	'bullish': '📈',
	'negative': '😟',
	'bearish': '📉',
	'neutral': '😐',
	'buy': '🟢',
	'sell': '🔴',
	'hold': '🟡'
	};
	return emojiMap[sentiment?.toLowerCase()] \|\| '📊';
	}

	clearTest() {
	const input = document.getElementById('test-input');
	const resultDiv = document.getElementById('test-result');

	if (input) {
	input.value = '';
	}

	if (resultDiv) {
	resultDiv.classList.add('hidden');
	}
	}

	async reinitializeAll() {
	this.showToast('Re-initializing all models...', 'info');

	try {
	const response = await fetch('/api/models/reinitialize', {
	method: 'POST',
	headers: { 'Content-Type': 'application/json' },
	signal: AbortSignal.timeout(30000)
	});

	if (response.ok) {
	this.showToast('Models re-initialized successfully!', 'success');
	await this.loadModels();
	} else {
	throw new Error(`HTTP ${response.status}`);
	}
	} catch (error) {
	console.error('[Models] Re-initialize error:', error);
	this.showToast(`Re-initialization failed: ${error?.message \|\| 'Unknown error'}`, 'error');
	}
	}

	showToast(message, type = 'info') {
	if (typeof APIHelper !== 'undefined' && APIHelper.showToast) {
	APIHelper.showToast(message, type);
	} else {
	console.log(`[Toast ${type}]`, message);
	}
	}
	}

	// Initialize
	const modelsPage = new ModelsPage();
	modelsPage.init();

	// Expose globally for onclick handlers
	window.modelsPage = modelsPage;