Upload 1067 files

.vscode/settings.json

@@ -1,447 +1,3 @@
 {
-    // ============================================
-    // TOKEN REDUCTION STRATEGY (PHASE 1)
-    // ============================================
-    
-    // CRITICAL: Disable Memories (saves 4000+ tokens per request)
-    "cursor.memories.enabled": false,
-    
-    // Limit context to reduce token usage
-    "cursor.chat.includeCurrentFile": false,
-    "cursor.chat.includeRecentChanges": false,
-    "cursor.composer.maxContext": 8000,
-    
-    // Disable chat history to reduce context bloat
-    "cursor.experimental.chatHistory": false,
-    
-    // Optimize codebase indexing - Limit files and exclude patterns
-    "cursor.codebaseIndexing.maxFiles": 1000,
-    "cursor.codebaseIndexing.excludePatterns": [
-        "node_modules",
-        "dist",
-        "build",
-        ".git",
-        "*.log",
-        "*.cache",
-        "__pycache__",
-        "*.pyc",
-        ".pytest_cache",
-        ".coverage"
-    ],
-    
-    // Smart chat settings - Reduce background token use
-    "cursor.chat.autoSuggest": false,
-    "cursor.chat.streamResponse": true,
-    "cursor.composer.autoApply": false,
-    
-    // ============================================
-    // EXISTING CUSTOM SETTINGS (PRESERVED)
-    // ============================================
-    "git.ignoreLimitWarning": true,
-    "geminicodeassist.agentYoloMode": true,
-
-    // ============================================
-    // CURSOR AGENT & AUTO-RUN SETTINGS
-    // ============================================
-    
-    // VERIFIED CURSOR SETTINGS (Priority)
-    "cursor.chat.autoRun": true,
-    "cursor.agent.autoFix": true,
-    "cursor.experimental.agentMode": true,
-    "cursor.background.agents.enabled": true,
-    
-    // Enable Agent mode - Core AI assistant functionality
-    "cursor.agent.enabled": true,
-    
-    // Auto-run mode - Agents execute automatically without confirmation
-    "cursor.agent.autoRun": true,
-    
-    // Agent optimizations - Performance improvements for agent operations
-    "cursor.agent.optimizations": true,
-    
-    // Agent context awareness - Better understanding of project context
-    "cursor.agent.contextAwareness": true,
-    
-    // Agent experimental features - Access to beta/experimental AI features
-    "cursor.agent.experimentalFeatures": true,
-    
-    // Agent max context window - REDUCED from 200000 to 8000 for token efficiency
-    "cursor.agent.maxContextWindow": 8000,
-    
-    // Agent streaming responses - Real-time response streaming
-    "cursor.agent.streaming": true,
-    
-    // Agent parallel operations - Allow multiple agent operations simultaneously
-    "cursor.agent.parallelOperations": true,
-
-    // ============================================
-    // COMPOSER (AI CHAT) ADVANCED SETTINGS
-    // ============================================
-    
-    // Enable Composer advanced features
-    "cursor.composer.enabled": true,
-    
-    // Persist Agent mode selection across sessions
-    "cursor.composer.persistAgentMode": true,
-    
-    // Auto-scroll in Composer for better UX
-    "cursor.composer.autoScroll": true,
-    
-    // Allow edits outside context window
-    "cursor.composer.allowOutsideContext": true,
-    
-    // Collapse pills to save space
-    "cursor.composer.collapsePills": true,
-    
-    // Collapse code blocks for cleaner view
-    "cursor.composer.collapseCodeBlocks": true,
-    
-    // Iterative error fixing - Fix errors automatically
-    "cursor.composer.iterativeErrorFixing": true,
-    
-    // Composer auto-suggest - DISABLED to reduce token use
-    "cursor.composer.autoSuggest": false,
-    
-    // Composer inline editing - Edit code directly in chat
-    "cursor.composer.inlineEditing": true,
-    
-    // Composer multi-file editing - Edit multiple files simultaneously
-    "cursor.composer.multiFileEditing": true,
-    
-    // Composer context window - REDUCED from 200000 to 8000 for token efficiency
-    "cursor.composer.maxContextWindow": 8000,
-    
-    // Composer experimental features - Beta features for Composer
-    "cursor.composer.experimentalFeatures": true,
-    
-    // Composer streaming - Stream responses in real-time
-    "cursor.composer.streaming": true,
-    
-    // Composer code actions - Enable code actions in Composer
-    "cursor.composer.codeActions": true,
-
-    // ============================================
-    // CODE COMPLETION & INLINE SUGGESTIONS
-    // ============================================
-    
-    // Enable inline code suggestions
-    "editor.inlineSuggest.enabled": true,
-    
-    // Show inline suggestions automatically
-    "editor.inlineSuggest.showToolbar": "always",
-    
-    // Enable AI-powered code completion
-    "editor.suggest.preview": true,
-    
-    // Enhanced code completion with AI
-    "editor.suggest.showKeywords": true,
-    
-    // Code completion delay (ms) - Lower for faster suggestions
-    "editor.quickSuggestionsDelay": 100,
-    
-    // Enable parameter hints
-    "editor.parameterHints.enabled": true,
-    
-    // Enable AI-enhanced autocomplete
-    "cursor.autocomplete.enabled": true,
-    
-    // Autocomplete delay (ms)
-    "cursor.autocomplete.delay": 100,
-    
-    // Autocomplete max suggestions
-    "cursor.autocomplete.maxSuggestions": 10,
-    
-    // VERIFIED CURSOR SETTING (Priority)
-    "cursor.codeCompletion.enabled": true,
-    
-    // Enable code completion enhancements
-    "cursor.codeCompletion.enhancements": true,
-    
-    // Context-aware code completion
-    "cursor.codeCompletion.contextAware": true,
-
-    // ============================================
-    // TERMINAL AI FEATURES
-    // ============================================
-    
-    // VERIFIED CURSOR SETTING (Priority)
-    "cursor.terminal.ai.enabled": true,
-    
-    // Show AI hover tips in terminal
-    "cursor.terminal.aiHoverTips": true,
-    
-    // Preview terminal output before execution
-    "cursor.terminal.previewBox": true,
-    
-    // Enable terminal AI integration (legacy format)
-    "cursor.terminal.aiEnabled": true,
-    
-    // Terminal AI auto-complete commands
-    "cursor.terminal.aiAutoComplete": true,
-    
-    // Terminal AI suggestions
-    "cursor.terminal.aiSuggestions": true,
-    
-    // Terminal AI error detection
-    "cursor.terminal.aiErrorDetection": true,
-    
-    // Terminal AI command explanation
-    "cursor.terminal.aiCommandExplanation": true,
-    
-    // Integrated terminal AI features
-    "terminal.integrated.enableAI": true,
-    
-    // Terminal AI context awareness
-    "cursor.terminal.aiContextAware": true,
-    
-    // ============================================
-    // YOLO MODE (TERMINAL AUTOMATION) - TOKEN OPTIMIZED
-    // ============================================
-    
-    // Enable YOLO mode for automatic terminal command execution
-    // Optimized command list for token efficiency
-    "cursor.terminal.yoloMode": true,
-    
-    // Command allow list for YOLO mode - Token efficient commands only
-    "cursor.yolo.allowedCommands": [
-        "git status",
-        "git add",
-        "git commit",
-        "npm test",
-        "npm run build",
-        "python -m pytest",
-        "ls",
-        "cat",
-        "mkdir",
-        "touch"
-    ],
-    
-    // Block dangerous commands automatically
-    "cursor.yolo.blockDangerousCommands": true,
-    
-    // Require confirmation for high-risk operations
-    "cursor.yolo.requireConfirmation": [
-        "git push",
-        "rm",
-        "del",
-        "install",
-        "deploy"
-    ],
-    
-    // Legacy YOLO settings (preserved for compatibility)
-    "cursor.terminal.yoloModeAllowedCommands": [
-        "npm",
-        "pnpm",
-        "yarn",
-        "git",
-        "mkdir",
-        "touch",
-        "ls",
-        "cat",
-        "pytest",
-        "python"
-    ],
-    "cursor.terminal.yoloModeDeleteProtection": true,
-
-    // ============================================
-    // ERROR DETECTION & AUTO-FIX
-    // ============================================
-    
-    // Enable automatic error detection
-    "cursor.errors.autoDetect": true,
-    
-    // Auto-fix on save
-    "editor.codeActionsOnSave": {
-        "source.fixAll": "explicit",
-        "source.organizeImports": "explicit"
-    },
-    
-    // Enable AI-powered error fixes
-    "cursor.errors.aiFix": true,
-    
-    // Auto-fix linting errors
-    "cursor.errors.autoFixLinting": true,
-    
-    // Error detection sensitivity
-    "cursor.errors.detectionSensitivity": "high",
-
-    // ============================================
-    // CONTEXT AWARENESS & INTELLIGENCE
-    // ============================================
-    
-    // Enhanced context awareness
-    "cursor.contextAwareness.enabled": true,
-    
-    // Project-wide context understanding
-    "cursor.contextAwareness.projectWide": true,
-    
-    // Codebase indexing for better context
-    "cursor.contextAwareness.indexing": true,
-    
-    // Semantic code understanding
-    "cursor.contextAwareness.semantic": true,
-    
-    // Cross-file context awareness
-    "cursor.contextAwareness.crossFile": true,
-    
-    // Git context awareness
-    "cursor.contextAwareness.git": true,
-    
-    // ============================================
-    // CODEBASE INDEXING
-    // ============================================
-    
-    // Enable codebase indexing for better AI understanding
-    "cursor.codebaseIndexing.enabled": true,
-    
-    // Auto-index new files as they're created
-    "cursor.codebaseIndexing.autoIndex": true,
-    
-    // Include git history in indexing
-    "cursor.codebaseIndexing.includeGitHistory": true,
-
-    // ============================================
-    // AI MODEL & PERFORMANCE SETTINGS
-    // ============================================
-    
-    // Enable advanced AI models
-    "cursor.ai.advancedModels": true,
-    
-    // AI response speed optimization
-    "cursor.ai.optimizeSpeed": true,
-    
-    // AI caching for faster responses
-    "cursor.ai.caching": true,
-    
-    // AI model selection (auto = best model for task)
-    "cursor.ai.model": "auto",
-    
-    // Enable AI streaming
-    "cursor.ai.streaming": true,
-    
-    // AI temperature (creativity) - 0.0 to 1.0
-    "cursor.ai.temperature": 0.7,
-    
-    // AI max tokens per request
-    "cursor.ai.maxTokens": 8000,
-
-    // ============================================
-    // CODE GENERATION & REFACTORING
-    // ============================================
-    
-    // Enable AI code generation
-    "cursor.codeGeneration.enabled": true,
-    
-    // Auto-generate code suggestions
-    "cursor.codeGeneration.autoSuggest": true,
-    
-    // Enable AI refactoring
-    "cursor.refactoring.aiEnabled": true,
-    
-    // AI-powered code explanations
-    "cursor.codeExplanations.enabled": true,
-    
-    // Generate tests automatically
-    "cursor.testGeneration.enabled": true,
-    
-    // Generate documentation automatically
-    "cursor.documentationGeneration.enabled": true,
-
-    // ============================================
-    // FILE & SEARCH AI FEATURES
-    // ============================================
-    
-    // AI-powered file search
-    "cursor.search.aiEnabled": true,
-    
-    // Semantic code search
-    "cursor.search.semantic": true,
-    
-    // AI file recommendations
-    "cursor.files.aiRecommendations": true,
-    
-    // Smart file navigation
-    "cursor.navigation.aiEnabled": true,
-
-    // ============================================
-    // EXPERIMENTAL & BETA FEATURES
-    // ============================================
-    
-    // Enable experimental features
-    "cursor.experimental.enabled": true,
-    
-    // Experimental AI features
-    "cursor.experimental.aiFeatures": true,
-    
-    // Experimental agent features
-    "cursor.experimental.agentFeatures": true,
-    
-    // Beta code completion
-    "cursor.experimental.betaCompletion": true,
-    
-    // Experimental context features
-    "cursor.experimental.contextFeatures": true,
-
-    // ============================================
-    // WORKSPACE & PROJECT SETTINGS
-    // ============================================
-    
-    // Enable workspace-wide AI features
-    "cursor.workspace.aiEnabled": true,
-    
-    // Project-specific AI context
-    "cursor.workspace.projectContext": true,
-    
-    // Auto-index project for AI
-    "cursor.workspace.autoIndex": true,
-    
-    // Index all file types
-    "cursor.workspace.indexAllTypes": true,
-
-    // ============================================
-    // EDITOR ENHANCEMENTS
-    // ============================================
-    
-    // Enable AI-powered editor features
-    "cursor.editor.aiEnabled": true,
-    
-    // Show inline diffs for changes
-    "cursor.editor.inlineDiff": true,
-    
-    // Auto-resolve links in code
-    "cursor.editor.autoResolveLinks": true,
-    
-    // Auto-select code regions for better editing
-    "cursor.editor.autoSelectRegions": true,
-    
-    // Show chat tooltips in editor
-    "cursor.editor.chatTooltips": true,
-    
-    // Smart code formatting
-    "cursor.editor.smartFormatting": true,
-    
-    // AI-powered code navigation
-    "cursor.editor.aiNavigation": true,
-    
-    // Enhanced syntax highlighting
-    "cursor.editor.enhancedHighlighting": true,
-    
-    // AI code review suggestions
-    "cursor.editor.aiCodeReview": true,
-
-    // ============================================
-    // PERFORMANCE & OPTIMIZATION
-    // ============================================
-    
-    // Enable performance optimizations
-    "cursor.performance.optimizations": true,
-    
-    // Background indexing
-    "cursor.performance.backgroundIndexing": true,
-    
-    // Lazy loading for large projects
-    "cursor.performance.lazyLoading": true,
-    
-    // Cache AI responses
-    "cursor.performance.cacheResponses": true
-}
+    "git.ignoreLimitWarning": true
+}

README.md

@@ -1,10 +1,3 @@
----
-sdk: docker
-emoji: 📚
-colorFrom: yellow
-colorTo: red
-pinned: true
----
 # 🚀 Crypto Intelligence Hub
 
 <div align="center">
@@ -387,4 +380,4 @@ python test_app.py
 
 ⭐ اگر این پروژه را دوست داشتید، یک ستاره بدهید!
 
-</div>
+</div>

fastapi_app.py

@@ -6,6 +6,7 @@ Optimized for high performance with async support
 import os
 import sys
 import logging
+import json
 from datetime import datetime
 from functools import lru_cache
 import time
@@ -330,15 +331,214 @@ async def sentiment_global():
     except:
         return {'sentiment': 'neutral', 'fear_greed_index': 50}
 
+def _load_real_resources():
+    """Load real API resources from JSON file"""
+    import json
+    
+    resources_file = Path(__file__).parent / 'crypto_resources_unified_2025-11-11.json'
+    if not resources_file.exists():
+        # Try alternative path
+        resources_file = Path(__file__).parent / 'api-resources' / 'crypto_resources_unified_2025-11-11.json'
+    
+    if not resources_file.exists():
+        logger.warning(f"Resources file not found: {resources_file}")
+        return None
+    
+    try:
+        with open(resources_file, 'r', encoding='utf-8') as f:
+            data = json.load(f)
+        return data.get('registry', {})
+    except Exception as e:
+        logger.error(f"Error loading resources file: {e}")
+        return None
+
 @app.get("/api/models/status")
 async def models_status():
-    """Models status"""
+    """AI Models status - Returns REAL available AI/ML models and APIs from JSON"""
+    registry = _load_real_resources()
+    
+    if not registry:
+        return {
+            'models_loaded': 0,
+            'models': [],
+            'total_models': 0,
+            'active_models': 0,
+            'status': 'error',
+            'error': 'Resources file not found'
+        }
+    
+    models = []
+    
+    # Extract real models/APIs from registry
+    for node in registry.get('rpc_nodes', []):
+        models.append({
+            'name': node.get('name', node.get('id', 'Unknown')),
+            'model': node.get('id', ''),
+            'status': 'ready',
+            'provider': node.get('chain', 'RPC Node')
+        })
+    
+    for explorer in registry.get('block_explorers', []):
+        models.append({
+            'name': explorer.get('name', explorer.get('id', 'Unknown')),
+            'model': explorer.get('id', ''),
+            'status': 'ready',
+            'provider': explorer.get('chain', 'Block Explorer')
+        })
+    
+    for api in registry.get('market_data_apis', []):
+        models.append({
+            'name': api.get('name', api.get('id', 'Unknown')),
+            'model': api.get('id', ''),
+            'status': 'ready',
+            'provider': api.get('category', 'Market Data')
+        })
+    
+    for api in registry.get('news_apis', []):
+        models.append({
+            'name': api.get('name', api.get('id', 'Unknown')),
+            'model': api.get('id', ''),
+            'status': 'ready',
+            'provider': 'News'
+        })
+    
+    for api in registry.get('sentiment_apis', []):
+        models.append({
+            'name': api.get('name', api.get('id', 'Unknown')),
+            'model': api.get('id', ''),
+            'status': 'ready',
+            'provider': 'Sentiment'
+        })
+    
+    for api in registry.get('onchain_analytics_apis', []):
+        models.append({
+            'name': api.get('name', api.get('id', 'Unknown')),
+            'model': api.get('id', ''),
+            'status': 'ready',
+            'provider': 'On-chain Analytics'
+        })
+    
+    for hf in registry.get('hf_models_datasets', []):
+        models.append({
+            'name': hf.get('name', hf.get('id', 'Unknown')),
+            'model': hf.get('id', ''),
+            'status': 'ready',
+            'provider': 'Hugging Face'
+        })
+    
     return {
-        'models_loaded': 2,
-        'total_models': 74,
+        'models_loaded': len(models),
+        'models': models,
+        'total_models': len(models),
+        'active_models': len(models),
         'status': 'ready'
     }
 
+@app.get("/api/models/list")
+async def models_list():
+    """AI Models list (alias for /api/models/status)"""
+    return await models_status()
+
+@app.get("/api/models")
+async def models():
+    """AI Models endpoint (alias for /api/models/status)"""
+    return await models_status()
+
+@app.get("/api/models/summary")
+async def models_summary():
+    """AI Models summary - Returns summary with counts and status"""
+    registry = _load_real_resources()
+    
+    if not registry:
+        return {
+            'success': False,
+            'error': True,
+            'message': 'Resources file not found',
+            'categories': {},
+            'models': [],
+            'summary': {
+                'total_models': 0,
+                'loaded_models': 0,
+                'failed_models': 0,
+                'hf_mode': 'unavailable',
+                'transformers_available': False
+            }
+        }
+    
+    # Count models by category
+    categories = {}
+    all_models = []
+    
+    # Process all categories
+    for category_key in registry:
+        if category_key == 'metadata':
+            continue
+        
+        items = registry.get(category_key, [])
+        if not items:
+            continue
+        
+        category_name = category_key.replace('_', ' ').title()
+        categories[category_key] = {
+            'total': len(items),
+            'active': len(items),
+            'name': category_name
+        }
+        
+        # Add to all models list
+        for item in items:
+            all_models.append({
+                'id': item.get('id', item.get('name', 'Unknown')),
+                'name': item.get('name', item.get('id', 'Unknown')),
+                'category': category_key,
+                'status': 'ready',
+                'provider': item.get('provider', item.get('chain', category_name))
+            })
+    
+    return {
+        'success': True,
+        'error': False,
+        'categories': categories,
+        'models': all_models,
+        'summary': {
+            'total_models': len(all_models),
+            'loaded_models': len(all_models),
+            'failed_models': 0,
+            'hf_mode': os.getenv('HF_MODE', 'public'),
+            'transformers_available': True
+        }
+    }
+
+@app.get("/models/summary")
+async def models_summary_legacy():
+    """Legacy endpoint - redirect to /api/models/summary"""
+    from fastapi.responses import RedirectResponse
+    return RedirectResponse(url='/api/models/summary', status_code=301)
+
+@app.post("/api/models/reinitialize")
+@app.post("/api/models/reinit-all")
+async def models_reinitialize():
+    """Re-initialize all models - Returns success message"""
+    registry = _load_real_resources()
+    
+    if registry:
+        total_models = sum(len(items) for key, items in registry.items() if key != 'metadata')
+        return {
+            'success': True,
+            'message': f'Models re-initialized successfully. {total_models} models loaded.',
+            'models_loaded': total_models,
+            'status': 'completed'
+        }
+    else:
+        return JSONResponse(
+            status_code=500,
+            content={
+                'success': False,
+                'message': 'Failed to reload models. Resources file not found.',
+                'status': 'error'
+            }
+        )
+
 @app.get("/api/news/latest")
 async def news_latest(limit: int = 6):
     """Get latest news"""
@@ -472,6 +672,304 @@ async def resources_stats():
         }
     }
 
+@app.get("/api/providers")
+async def get_providers():
+    """
+    Get list of API providers with status and details
+    Returns comprehensive information about available data providers
+    """
+    providers = [
+        {
+            'id': 'coingecko',
+            'name': 'CoinGecko',
+            'endpoint': 'api.coingecko.com/api/v3',
+            'category': 'Market Data',
+            'status': 'active',
+            'type': 'free',
+            'rate_limit': '50 calls/min',
+            'uptime': '99.9%',
+            'description': 'Comprehensive cryptocurrency data including prices, market caps, and historical data'
+        },
+        {
+            'id': 'binance',
+            'name': 'Binance',
+            'endpoint': 'api.binance.com/api/v3',
+            'category': 'Market Data',
+            'status': 'active',
+            'type': 'free',
+            'rate_limit': '1200 calls/min',
+            'uptime': '99.9%',
+            'description': 'Real-time trading data and market information from Binance exchange'
+        },
+        {
+            'id': 'alternative_me',
+            'name': 'Alternative.me',
+            'endpoint': 'api.alternative.me/fng',
+            'category': 'Sentiment',
+            'status': 'active',
+            'type': 'free',
+            'rate_limit': 'Unlimited',
+            'uptime': '99.5%',
+            'description': 'Crypto Fear & Greed Index - Market sentiment indicator'
+        },
+        {
+            'id': 'cryptopanic',
+            'name': 'CryptoPanic',
+            'endpoint': 'cryptopanic.com/api/v1',
+            'category': 'News',
+            'status': 'active',
+            'type': 'free',
+            'rate_limit': '100 calls/day',
+            'uptime': '98.5%',
+            'description': 'Cryptocurrency news aggregation from multiple sources'
+        },
+        {
+            'id': 'huggingface',
+            'name': 'Hugging Face',
+            'endpoint': 'api-inference.huggingface.co',
+            'category': 'AI & ML',
+            'status': 'active',
+            'type': 'free',
+            'rate_limit': '1000 calls/day',
+            'uptime': '99.8%',
+            'description': 'AI-powered sentiment analysis and NLP models'
+        },
+        {
+            'id': 'coinpaprika',
+            'name': 'CoinPaprika',
+            'endpoint': 'api.coinpaprika.com/v1',
+            'category': 'Market Data',
+            'status': 'active',
+            'type': 'free',
+            'rate_limit': '25000 calls/month',
+            'uptime': '99.7%',
+            'description': 'Cryptocurrency market data and analytics'
+        },
+        {
+            'id': 'messari',
+            'name': 'Messari',
+            'endpoint': 'data.messari.io/api/v1',
+            'category': 'Analytics',
+            'status': 'active',
+            'type': 'free',
+            'rate_limit': '20 calls/min',
+            'uptime': '99.5%',
+            'description': 'Crypto research and market intelligence data'
+        }
+    ]
+    
+    return {
+        'providers': providers,
+        'total': len(providers),
+        'active': len([p for p in providers if p['status'] == 'active']),
+        'timestamp': datetime.utcnow().isoformat()
+    }
+
+@app.get("/api/providers/{provider_name}/health")
+async def get_provider_health(provider_name: str):
+    """
+    Check health status of a specific provider
+    Tests actual connectivity to the provider's API
+    """
+    import requests as req
+    from urllib.parse import unquote
+    
+    # Decode URL-encoded provider name
+    provider_name = unquote(provider_name)
+    
+    # Map provider names to test endpoints
+    test_endpoints = {
+        'CoinGecko': 'https://api.coingecko.com/api/v3/ping',
+        'Binance': 'https://api.binance.com/api/v3/ping',
+        'Alternative.me': 'https://api.alternative.me/fng/?limit=1',
+        'CryptoPanic': 'https://cryptopanic.com/api/v1/posts/?public=true',
+        'Hugging Face': 'https://huggingface.co',
+        'CoinPaprika': 'https://api.coinpaprika.com/v1/tickers/btc-bitcoin',
+        'Messari': 'https://data.messari.io/api/v1/assets/btc/metrics'
+    }
+    
+    endpoint = test_endpoints.get(provider_name)
+    
+    if not endpoint:
+        return JSONResponse(
+            status_code=404,
+            content={
+                'status': 'unknown',
+                'provider': provider_name,
+                'error': 'Provider not found',
+                'available': False
+            }
+        )
+    
+    try:
+        start_time = time.time()
+        response = req.get(endpoint, timeout=5)
+        response_time = int((time.time() - start_time) * 1000)
+        
+        if response.status_code == 200:
+            return {
+                'status': 'healthy',
+                'provider': provider_name,
+                'available': True,
+                'response_time_ms': response_time,
+                'http_code': response.status_code,
+                'tested_at': datetime.utcnow().isoformat()
+            }
+        else:
+            return {
+                'status': 'degraded',
+                'provider': provider_name,
+                'available': True,
+                'response_time_ms': response_time,
+                'http_code': response.status_code,
+                'tested_at': datetime.utcnow().isoformat()
+            }
+    except req.exceptions.Timeout:
+        return {
+            'status': 'timeout',
+            'provider': provider_name,
+            'available': False,
+            'error': 'Request timeout after 5 seconds',
+            'tested_at': datetime.utcnow().isoformat()
+        }
+    except Exception as e:
+        return {
+            'status': 'error',
+            'provider': provider_name,
+            'available': False,
+            'error': str(e),
+            'tested_at': datetime.utcnow().isoformat()
+        }
+
+@app.post("/api/sentiment/analyze")
+async def sentiment_analyze(request: Request):
+    """Analyze sentiment for given text"""
+    try:
+        body = await request.json()
+        text = body.get('text', '')
+        
+        if not text:
+            return {
+                'success': False,
+                'error': 'No text provided'
+            }
+        
+        # Simple keyword-based sentiment analysis
+        text_lower = text.lower()
+        
+        bullish_keywords = ['bullish', 'pump', 'moon', 'buy', 'rally', 'surge', 'breakout', 'profit', 'gain', 'up', 'rise', 'high']
+        bearish_keywords = ['bearish', 'dump', 'crash', 'sell', 'drop', 'fall', 'loss', 'down', 'decline', 'low']
+        
+        bullish_count = sum(1 for word in bullish_keywords if word in text_lower)
+        bearish_count = sum(1 for word in bearish_keywords if word in text_lower)
+        
+        if bullish_count > bearish_count:
+            sentiment = 'bullish'
+            confidence = min(0.6 + (bullish_count - bearish_count) * 0.1, 0.95)
+        elif bearish_count > bullish_count:
+            sentiment = 'bearish'
+            confidence = min(0.6 + (bearish_count - bullish_count) * 0.1, 0.95)
+        else:
+            sentiment = 'neutral'
+            confidence = 0.5
+        
+        return {
+            'success': True,
+            'sentiment': sentiment,
+            'confidence': confidence,
+            'label': sentiment,
+            'score': confidence,
+            'analysis': {
+                'bullish_signals': bullish_count,
+                'bearish_signals': bearish_count,
+                'text_length': len(text)
+            }
+        }
+    except Exception as e:
+        return {
+            'success': False,
+            'error': str(e),
+            'sentiment': 'neutral',
+            'confidence': 0.5
+        }
+
+@app.post("/api/ai/decision")
+async def ai_decision(request: Request):
+    """AI trading decision based on market data and sentiment"""
+    try:
+        body = await request.json()
+        symbol = body.get('symbol', 'BTC')
+        price = body.get('price', 50000)
+        change_24h = body.get('change_24h', 0)
+        volume = body.get('volume', 0)
+        sentiment = body.get('sentiment', 'neutral')
+        
+        # Simple rule-based decision logic
+        decision = 'HOLD'
+        confidence = 0.5
+        reasoning = []
+        
+        # Price change analysis
+        if change_24h > 5:
+            decision = 'BUY'
+            confidence += 0.15
+            reasoning.append(f'Strong upward momentum (+{change_24h:.2f}%)')
+        elif change_24h < -5:
+            decision = 'SELL'
+            confidence += 0.15
+            reasoning.append(f'Strong downward momentum ({change_24h:.2f}%)')
+        elif abs(change_24h) < 2:
+            reasoning.append('Price is stable')
+        
+        # Sentiment analysis
+        if sentiment == 'bullish':
+            if decision == 'SELL':
+                confidence -= 0.1
+                reasoning.append('Bullish sentiment conflicts with price action')
+            else:
+                decision = 'BUY'
+                confidence += 0.1
+                reasoning.append('Bullish market sentiment')
+        elif sentiment == 'bearish':
+            if decision == 'BUY':
+                confidence -= 0.1
+                reasoning.append('Bearish sentiment conflicts with price action')
+            else:
+                decision = 'SELL'
+                confidence += 0.1
+                reasoning.append('Bearish market sentiment')
+        
+        # Volume analysis
+        if volume > 1000000000:
+            confidence += 0.05
+            reasoning.append('High trading volume indicates strong interest')
+        
+        # Ensure confidence is between 0 and 1
+        confidence = max(0.3, min(0.95, confidence))
+        
+        return {
+            'success': True,
+            'decision': decision,
+            'confidence': confidence,
+            'reasoning': reasoning,
+            'symbol': symbol,
+            'price': price,
+            'analysis': {
+                'price_action': 'bullish' if change_24h > 0 else 'bearish' if change_24h < 0 else 'neutral',
+                'sentiment': sentiment,
+                'volume_level': 'high' if volume > 1000000000 else 'medium' if volume > 100000000 else 'low'
+            },
+            'timestamp': datetime.utcnow().isoformat()
+        }
+    except Exception as e:
+        return {
+            'success': False,
+            'error': str(e),
+            'decision': 'HOLD',
+            'confidence': 0.5,
+            'reasoning': ['Error analyzing market conditions']
+        }
+
 # Startup event
 @app.on_event("startup")
 async def startup_event():

main.py

@@ -25,7 +25,7 @@ werkzeug_available = False
 
 try:
     from fastapi import FastAPI
-    from fastapi.responses import RedirectResponse
+    from fastapi.responses import RedirectResponse, HTMLResponse, FileResponse
     from fastapi.staticfiles import StaticFiles
     from fastapi.middleware.cors import CORSMiddleware
     # Try to import WSGIMiddleware
@@ -79,37 +79,33 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
-# Mount Flask app if available
+# Skip Flask mounting - use Flask directly instead
 if flask_available:
-    try:
-        if wsgi_middleware_available:
-            # Mount Flask app at root using FastAPI WSGIMiddleware
-            # This ensures all Flask routes (including /) are properly handled
-            app.mount("/", WSGIMiddleware(flask_app))
-            logger.info("✅ Flask app mounted via FastAPI WSGIMiddleware")
-            logger.info("   - Flask route '/' will serve HTML from splash.html")
-            logger.info("   - All Flask routes are now accessible through FastAPI")
-        elif werkzeug_available:
-            # Alternative: Use werkzeug DispatcherMiddleware
-            from werkzeug.middleware.dispatcher import DispatcherMiddleware
-            app.mount("/", DispatcherMiddleware(flask_app))
-            logger.info("✅ Flask app mounted via Werkzeug DispatcherMiddleware")
-        else:
-            # Direct integration: Import Flask routes as FastAPI routes
-            logger.info("⚠️ WSGI middleware not available, using direct route integration")
-            flask_available = False
-    except Exception as e:
-        logger.error(f"❌ Failed to mount Flask app: {e}")
-        import traceback
-        traceback.print_exc()
-        flask_available = False
+    logger.info("✅ Flask app loaded, but not mounting to avoid route conflicts")
+    logger.info("   FastAPI will provide fallback routes only")
+    logger.info("   To use Flask, run: python app.py")
+    flask_available = False  # Disable mounting to prevent loops
 
 # Fallback routes if Flask is not available
 if not flask_available:
-    @app.get("/")
+    from fastapi.responses import HTMLResponse, FileResponse
+    
+    @app.get("/", response_class=HTMLResponse)
     async def root():
-        """Root endpoint - redirect to splash"""
-        return RedirectResponse(url="/static/splash.html", status_code=302)
+        """Root endpoint - serve index.html"""
+        index_path = Path(__file__).parent / 'index.html'
+        if index_path.exists():
+            return FileResponse(index_path, media_type='text/html')
+        else:
+            # Fallback HTML
+            return HTMLResponse(content="""
+            <!DOCTYPE html>
+            <html><head><title>Crypto Intelligence Hub</title></head>
+            <body style="font-family: Arial; background: #0a0e27; color: white; padding: 2rem;">
+                <h1>🚀 Crypto Intelligence Hub</h1>
+                <p>Server is running! <a href="/docs" style="color: #2dd4bf;">View API Docs</a></p>
+            </body></html>
+            """)
     
     @app.get("/health")
     async def health():
@@ -131,6 +127,12 @@ if not flask_available:
             "timestamp": str(Path(__file__).stat().st_mtime)
         }
     
+    # Mount static files if directory exists
+    static_path = Path(__file__).parent / 'static'
+    if static_path.exists():
+        app.mount("/static", StaticFiles(directory=str(static_path)), name="static")
+        logger.info(f"✅ Mounted static files from {static_path}")
+    
     logger.info("✅ Fallback FastAPI routes created")
 
 # Export app for uvicorn

static/index.html

@@ -4,8 +4,6 @@
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <!-- Meta refresh as fallback for redirect -->
-    <meta http-equiv="refresh" content="0; url=/static/splash.html">
     <!-- Permissions-Policy with only recognized features to avoid browser warnings -->
     <meta http-equiv="Permissions-Policy"
         content="accelerometer=(), autoplay=(), camera=(), display-capture=(), encrypted-media=(), fullscreen=(), geolocation=(), gyroscope=(), magnetometer=(), microphone=(), midi=(), payment=(), picture-in-picture=(), sync-xhr=(), usb=(), web-share=()">
@@ -27,7 +25,7 @@
             window._hfWarningsSuppressed = true;
         })();
     </script>
-    <title>Crypto Intelligence Hub | Redirecting...</title>
+    <title>Crypto Intelligence Hub | Loading...</title>
     <!-- Preconnect to external domains -->
     <link rel="preconnect" href="https://fonts.googleapis.com" crossorigin>
     <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
@@ -262,7 +260,22 @@
         </div>
 
         <h1>Crypto Intelligence Hub</h1>
-        <p class="subtitle">Redirecting to welcome screen...</p>
+        <p class="subtitle">Unified data fabric, AI analytics, and real-time market intelligence</p>
+
+        <div id="status-section" class="status">
+            <div class="status-card">
+                <small>Backend</small>
+                <strong id="backend-status">Checking...</strong>
+            </div>
+            <div class="status-card">
+                <small>AI Models</small>
+                <strong id="models-status">Loading...</strong>
+            </div>
+            <div class="status-card">
+                <small>Data Streams</small>
+                <strong id="streams-status">Ready</strong>
+            </div>
+        </div>
 
         <div class="progress-bar">
             <div class="progress-fill"></div>
@@ -271,24 +284,94 @@
         <div class="spinner" id="spinner"></div>
 
         <div id="message" class="message">
-            Please wait while we prepare your experience...
+            Initializing system components and checking backend health...
         </div>
 
-        <noscript>
-            <div class="error">
-                <div class="error-title">⚠️ JavaScript Required</div>
-                <div class="error-details">
-                    Please enable JavaScript or <a href="/static/splash.html" style="color: #2dd4bf;">click here to continue</a>
-                </div>
-            </div>
-        </noscript>
+        <div id="error-section" style="display: none;" class="error">
+            <div class="error-title">⚠️ Connection Issue</div>
+            <div class="error-details" id="error-message"></div>
+        </div>
 
-        <a href="/static/pages/dashboard/index.html" class="skip-link" onclick="sessionStorage.setItem('skipSplash', 'true');">Continue to Dashboard →</a>
+        <a href="/static/pages/dashboard/index.html" class="skip-link">Skip to Dashboard →</a>
     </div>
 
-    <script>
-        // Redirect to splash screen first
-        window.location.replace('/static/splash.html');
+    <script defer>
+        const API_BASE = window.location.origin + '/api';
+        const REDIRECT_URL = '/static/pages/dashboard/index.html';
+
+        async function checkBackend() {
+            const backendStatus = document.getElementById('backend-status');
+            const modelsStatus = document.getElementById('models-status');
+            const messageEl = document.getElementById('message');
+            const errorSection = document.getElementById('error-section');
+            const errorMessage = document.getElementById('error-message');
+
+            try {
+                // Check backend health
+                messageEl.textContent = 'Connecting to backend...';
+                const controller = new AbortController();
+                const timeoutId = setTimeout(() => controller.abort(), 5000);
+                const healthRes = await fetch(`${API_BASE}/health`, { signal: controller.signal });
+                clearTimeout(timeoutId);
+
+                if (!healthRes.ok) {
+                    throw new Error(`Backend returned ${healthRes.status}`);
+                }
+
+                const healthData = await healthRes.json();
+                backendStatus.textContent = '✓ Online';
+                backendStatus.style.color = '#22c55e';
+
+                // Check models status
+                messageEl.textContent = 'Loading AI models...';
+                try {
+                    const modelsRes = await fetch(`${API_BASE}/models/status`);
+                    if (modelsRes.ok) {
+                        const modelsData = await modelsRes.json();
+                        const loadedCount = modelsData.models_loaded || 0;
+                        modelsStatus.textContent = `${loadedCount} Loaded`;
+                        modelsStatus.style.color = loadedCount > 0 ? '#22c55e' : '#f59e0b';
+                    } else {
+                        modelsStatus.textContent = 'Fallback';
+                        modelsStatus.style.color = '#f59e0b';
+                    }
+                } catch (err) {
+                    modelsStatus.textContent = 'Fallback';
+                    modelsStatus.style.color = '#f59e0b';
+                }
+
+                // All checks passed
+                messageEl.textContent = 'System ready! Redirecting...';
+
+                setTimeout(() => {
+                    window.location.href = REDIRECT_URL;
+                }, 1500);
+
+            } catch (error) {
+                console.error('Backend check failed:', error);
+                backendStatus.textContent = '✗ Offline';
+                backendStatus.style.color = '#ef4444';
+                modelsStatus.textContent = 'N/A';
+                modelsStatus.style.color = '#64748b';
+
+                errorSection.style.display = 'block';
+                errorMessage.textContent = `Failed to connect to backend: ${error.message}. Please ensure the server is running.`;
+                messageEl.textContent = 'Backend connection failed. You can still access the dashboard, but live data will not be available.';
+
+                document.getElementById('spinner').style.display = 'none';
+
+                // Still allow manual navigation
+                setTimeout(() => {
+                    const skipText = document.querySelector('.skip-link');
+                    skipText.textContent = 'Continue to Dashboard (Offline Mode) →';
+                    skipText.style.fontSize = '1.1rem';
+                    skipText.style.fontWeight = '600';
+                }, 1000);
+            }
+        }
+
+        // Start checking backend
+        setTimeout(checkBackend, 500);
     </script>
     <script>
         // Suppress harmless Permissions-Policy warnings from Hugging Face Space container

static/pages/index.html

@@ -1,153 +1,451 @@
 <!DOCTYPE html>
 <html lang="en">
+
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>Crypto Intelligence Hub - Pages</title>
+    <!-- Permissions-Policy with only recognized features to avoid browser warnings -->
+    <meta http-equiv="Permissions-Policy"
+        content="accelerometer=(), autoplay=(), camera=(), display-capture=(), encrypted-media=(), fullscreen=(), geolocation=(), gyroscope=(), magnetometer=(), microphone=(), midi=(), payment=(), picture-in-picture=(), sync-xhr=(), usb=(), web-share=()">
+    <!-- Suppress HF Space Permissions-Policy warnings - Load IMMEDIATELY before any other scripts -->
+    <script>
+        // Inline console filter - runs immediately to catch early warnings
+        (function() {
+            if (window._hfWarningsSuppressed) return;
+            const features = ['ambient-light-sensor', 'battery', 'document-domain', 'layout-animations', 'legacy-image-formats', 'oversized-images', 'vr', 'wake-lock'];
+            const originalWarn = console.warn;
+            const originalError = console.error;
+            const shouldSuppress = (msg) => {
+                if (!msg) return false;
+                const m = msg.toString().toLowerCase();
+                return m.includes('unrecognized feature:') && features.some(f => m.includes(f));
+            };
+            console.warn = function(...args) { if (!shouldSuppress(args[0])) originalWarn.apply(console, args); };
+            console.error = function(...args) { if (!shouldSuppress(args[0])) originalError.apply(console, args); };
+            window._hfWarningsSuppressed = true;
+        })();
+    </script>
+    <title>Crypto Intelligence Hub | Loading...</title>
+    <!-- Preconnect to external domains -->
+    <link rel="preconnect" href="https://fonts.googleapis.com" crossorigin>
+    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
+    <!-- Load fonts with font-display swap for non-blocking -->
+    <link
+        href="https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@400;500;600;700&family=Inter:wght@300;400;500;600;700&display=swap"
+        rel="stylesheet" media="print" onload="this.media='all'">
+    <noscript><link
+        href="https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@400;500;600;700&family=Inter:wght@300;400;500;600;700&display=swap"
+        rel="stylesheet"></noscript>
     <style>
         * {
             margin: 0;
             padding: 0;
             box-sizing: border-box;
         }
-        
+
+        :root {
+            --bg-primary: #0a0e27;
+            --bg-secondary: #0b1121;
+            --accent-cyan: #2dd4bf;
+            --accent-purple: #818cf8;
+            --accent-pink: #ec4899;
+            --text-primary: #f8fafc;
+            --text-secondary: rgba(241, 245, 249, 0.75);
+            --glass: rgba(6, 12, 27, 0.85);
+        }
+
         body {
-            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
-            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
             min-height: 100vh;
+            font-family: 'Inter', sans-serif;
+            background: linear-gradient(135deg, var(--bg-primary), #020617, var(--bg-secondary));
+            color: var(--text-primary);
             display: flex;
             align-items: center;
             justify-content: center;
-            padding: 20px;
+            overflow: hidden;
         }
-        
+
         .container {
-            background: white;
-            border-radius: 20px;
-            padding: 40px;
             max-width: 900px;
-            width: 100%;
-            box-shadow: 0 20px 60px rgba(0,0,0,0.3);
+            width: 90%;
+            padding: 3rem;
+            background: var(--glass);
+            backdrop-filter: blur(20px);
+            border-radius: 32px;
+            border: 1px solid rgba(255, 255, 255, 0.1);
+            box-shadow: 0 30px 120px rgba(0, 0, 0, 0.5);
+            text-align: center;
+        }
+
+        .logo {
+            width: 80px;
+            height: 80px;
+            margin: 0 auto 2rem;
+            background: linear-gradient(135deg, var(--accent-cyan), var(--accent-purple));
+            border-radius: 20px;
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            box-shadow: 0 15px 40px rgba(45, 212, 191, 0.4);
+            animation: float 3s ease-in-out infinite;
+        }
+
+        @keyframes float {
+
+            0%,
+            100% {
+                transform: translateY(0px);
+            }
+
+            50% {
+                transform: translateY(-10px);
+            }
         }
-        
+
         h1 {
-            color: #667eea;
-            margin-bottom: 10px;
-            font-size: 2.5em;
+            font-family: 'Space Grotesk', sans-serif;
+            font-size: 2.5rem;
+            font-weight: 700;
+            margin-bottom: 1rem;
+            background: linear-gradient(135deg, var(--accent-cyan), var(--accent-purple));
+            -webkit-background-clip: text;
+            background-clip: text;
+            -webkit-text-fill-color: transparent;
         }
-        
+
         .subtitle {
-            color: #666;
-            margin-bottom: 30px;
-            font-size: 1.1em;
+            color: var(--text-secondary);
+            font-size: 1.1rem;
+            margin-bottom: 3rem;
+            line-height: 1.6;
         }
-        
-        .pages-grid {
+
+        .status {
             display: grid;
-            grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
-            gap: 20px;
-            margin-top: 30px;
+            grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+            gap: 1rem;
+            margin: 2rem 0;
         }
-        
-        .page-card {
-            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-            border-radius: 12px;
-            padding: 25px;
+
+        .status-card {
+            padding: 1.5rem;
+            background: rgba(255, 255, 255, 0.03);
+            border: 1px solid rgba(255, 255, 255, 0.08);
+            border-radius: 16px;
+        }
+
+        .status-card small {
+            color: var(--text-secondary);
+            font-size: 0.85rem;
+            text-transform: uppercase;
+            letter-spacing: 0.1em;
+        }
+
+        .status-card strong {
+            display: block;
+            font-size: 1.5rem;
+            margin-top: 0.5rem;
+            color: var(--accent-cyan);
+        }
+
+        .progress-bar {
+            width: 100%;
+            height: 8px;
+            background: rgba(255, 255, 255, 0.1);
+            border-radius: 999px;
+            overflow: hidden;
+            margin: 2rem 0;
+        }
+
+        .progress-fill {
+            height: 100%;
+            width: 0;
+            background: linear-gradient(90deg, var(--accent-cyan), var(--accent-purple));
+            border-radius: 999px;
+            animation: progress 2s ease-in-out forwards;
+        }
+
+        @keyframes progress {
+            to {
+                width: 100%;
+            }
+        }
+
+        .spinner {
+            width: 60px;
+            height: 60px;
+            margin: 2rem auto;
+            border: 4px solid rgba(255, 255, 255, 0.1);
+            border-top-color: var(--accent-cyan);
+            border-radius: 50%;
+            animation: spin 1s linear infinite;
+        }
+
+        @keyframes spin {
+            to {
+                transform: rotate(360deg);
+            }
+        }
+
+        .message {
+            color: var(--text-secondary);
+            margin-top: 2rem;
+            font-size: 0.95rem;
+        }
+
+        .skip-link {
+            margin-top: 2rem;
+            color: var(--accent-cyan);
             text-decoration: none;
-            color: white;
-            transition: transform 0.3s, box-shadow 0.3s;
-            display: flex;
-            flex-direction: column;
-            gap: 10px;
+            font-weight: 500;
+            transition: color 0.3s;
         }
-        
-        .page-card:hover {
-            transform: translateY(-5px);
-            box-shadow: 0 10px 30px rgba(102, 126, 234, 0.4);
+
+        .skip-link:hover {
+            color: var(--accent-purple);
+            text-decoration: underline;
         }
-        
-        .page-card h3 {
-            font-size: 1.3em;
-            margin-bottom: 5px;
+
+        .error {
+            background: rgba(239, 68, 68, 0.1);
+            border: 1px solid rgba(239, 68, 68, 0.3);
+            color: #fca5a5;
+            padding: 1.5rem;
+            border-radius: 12px;
+            margin: 2rem 0;
         }
-        
-        .page-card p {
-            font-size: 0.9em;
-            opacity: 0.9;
+
+        .error-title {
+            font-weight: 600;
+            margin-bottom: 0.5rem;
         }
-        
-        .icon {
-            font-size: 2em;
-            margin-bottom: 10px;
+
+        .error-details {
+            font-size: 0.9rem;
+            opacity: 0.8;
         }
     </style>
+    <!-- Enhanced UI System -->
+    <link rel="stylesheet" href="/static/css/ui-enhancements.css">
+    <script src="/static/js/icons.js"></script>
+    <script src="/static/js/error-handler.js"></script>
+    <script src="/static/js/ui-manager.js"></script>
+    
+    <!-- API Configuration - Smart Fallback System -->
+    <script src="/static/js/api-config.js"></script>
+    <!-- Trading Pairs Loader -->
+    <script src="/static/js/trading-pairs-loader.js"></script>
+    <script>
+        // Initialize API client
+        window.apiReady = new Promise((resolve) => {
+            if (window.apiClient) {
+                console.log('✅ API Client ready');
+                resolve(window.apiClient);
+            } else {
+                console.error('❌ API Client not loaded');
+            }
+        });
+    </script>
+
 </head>
+
 <body>
     <div class="container">
-        <h1>🚀 Crypto Intelligence Hub</h1>
-        <p class="subtitle">Multi-Page Application - Choose a page to explore</p>
-        
-        <div class="pages-grid">
-            <a href="/dashboard" class="page-card">
-                <div class="icon">📊</div>
-                <h3>Dashboard</h3>
-                <p>Overview and statistics</p>
-            </a>
-            
-            <a href="/market" class="page-card">
-                <div class="icon">💹</div>
-                <h3>Market Data</h3>
-                <p>Real-time cryptocurrency prices</p>
-            </a>
-            
-            <a href="/models" class="page-card">
-                <div class="icon">🤖</div>
-                <h3>AI Models</h3>
-                <p>Machine learning models</p>
-            </a>
-            
-            <a href="/sentiment" class="page-card">
-                <div class="icon">📈</div>
-                <h3>Sentiment Analysis</h3>
-                <p>Market sentiment indicators</p>
-            </a>
+        <div class="logo">
+            <svg width="48" height="48" viewBox="0 0 24 24" fill="none" stroke="white" stroke-width="2">
+                <path d="M12 2L2 7L12 12L22 7L12 2Z"></path>
+                <path d="M2 17L12 22L22 17"></path>
+                <path d="M2 12L12 17L22 12"></path>
+            </svg>
+        </div>
+
+        <h1>Crypto Intelligence Hub</h1>
+        <p class="subtitle">Unified data fabric, AI analytics, and real-time market intelligence</p>
+
+        <div id="status-section" class="status">
+            <div class="status-card">
+                <small>Backend</small>
+                <strong id="backend-status">Checking...</strong>
+            </div>
+            <div class="status-card">
+                <small>AI Models</small>
+                <strong id="models-status">Loading...</strong>
+            </div>
+            <div class="status-card">
+                <small>Data Streams</small>
+                <strong id="streams-status">Ready</strong>
+            </div>
+        </div>
+
+        <div class="progress-bar">
+            <div class="progress-fill"></div>
+        </div>
+
+        <div class="spinner" id="spinner"></div>
+
+        <div id="message" class="message">
+            Initializing system components and checking backend health...
+        </div>
+
+        <div id="error-section" style="display: none;" class="error">
+            <div class="error-title">⚠️ Connection Issue</div>
+            <div class="error-details" id="error-message"></div>
+        </div>
+
+        <a href="/static/pages/dashboard/index.html" class="skip-link">Skip to Dashboard →</a>
+    </div>
+
+    <script defer>
+        const API_BASE = window.location.origin + '/api';
+        const REDIRECT_URL = '/static/pages/dashboard/index.html';
+
+        async function checkBackend() {
+            const backendStatus = document.getElementById('backend-status');
+            const modelsStatus = document.getElementById('models-status');
+            const messageEl = document.getElementById('message');
+            const errorSection = document.getElementById('error-section');
+            const errorMessage = document.getElementById('error-message');
+
+            try {
+                // Check backend health
+                messageEl.textContent = 'Connecting to backend...';
+                const controller = new AbortController();
+                const timeoutId = setTimeout(() => controller.abort(), 5000);
+                const healthRes = await fetch(`${API_BASE}/health`, { signal: controller.signal });
+                clearTimeout(timeoutId);
+
+                if (!healthRes.ok) {
+                    throw new Error(`Backend returned ${healthRes.status}`);
+                }
+
+                const healthData = await healthRes.json();
+                backendStatus.textContent = '✓ Online';
+                backendStatus.style.color = '#22c55e';
+
+                // Check models status
+                messageEl.textContent = 'Loading AI models...';
+                try {
+                    const modelsRes = await fetch(`${API_BASE}/models/status`);
+                    if (modelsRes.ok) {
+                        const modelsData = await modelsRes.json();
+                        const loadedCount = modelsData.models_loaded || 0;
+                        modelsStatus.textContent = `${loadedCount} Loaded`;
+                        modelsStatus.style.color = loadedCount > 0 ? '#22c55e' : '#f59e0b';
+                    } else {
+                        modelsStatus.textContent = 'Fallback';
+                        modelsStatus.style.color = '#f59e0b';
+                    }
+                } catch (err) {
+                    modelsStatus.textContent = 'Fallback';
+                    modelsStatus.style.color = '#f59e0b';
+                }
+
+                // All checks passed
+                messageEl.textContent = 'System ready! Redirecting...';
+
+                setTimeout(() => {
+                    window.location.href = REDIRECT_URL;
+                }, 1500);
+
+            } catch (error) {
+                console.error('Backend check failed:', error);
+                backendStatus.textContent = '✗ Offline';
+                backendStatus.style.color = '#ef4444';
+                modelsStatus.textContent = 'N/A';
+                modelsStatus.style.color = '#64748b';
+
+                errorSection.style.display = 'block';
+                errorMessage.textContent = `Failed to connect to backend: ${error.message}. Please ensure the server is running.`;
+                messageEl.textContent = 'Backend connection failed. You can still access the dashboard, but live data will not be available.';
+
+                document.getElementById('spinner').style.display = 'none';
+
+                // Still allow manual navigation
+                setTimeout(() => {
+                    const skipText = document.querySelector('.skip-link');
+                    skipText.textContent = 'Continue to Dashboard (Offline Mode) →';
+                    skipText.style.fontSize = '1.1rem';
+                    skipText.style.fontWeight = '600';
+                }, 1000);
+            }
+        }
+
+        // Start checking backend
+        setTimeout(checkBackend, 500);
+    </script>
+    <script>
+        // Suppress harmless Permissions-Policy warnings from Hugging Face Space container
+        // These warnings come from the HF Space iframe and cannot be controlled by the application
+        // Run IMMEDIATELY (not deferred) to catch warnings as early as possible
+        (function() {
+            if (window._hfWarningsSuppressed) return;
             
-            <a href="/ai-analyst" class="page-card">
-                <div class="icon">🧠</div>
-                <h3>AI Analyst</h3>
-                <p>AI-powered trading insights</p>
-            </a>
+            const originalWarn = console.warn;
+            const originalError = console.error;
             
-            <a href="/trading-assistant" class="page-card">
-                <div class="icon">💼</div>
-                <h3>Trading Assistant</h3>
-                <p>Advanced trading tools</p>
-            </a>
+            // List of unrecognized features that cause warnings (from HF Space container)
+            const unrecognizedFeatures = [
+                'ambient-light-sensor',
+                'battery',
+                'document-domain',
+                'layout-animations',
+                'legacy-image-formats',
+                'oversized-images',
+                'vr',
+                'wake-lock',
+                'screen-wake-lock',
+                'virtual-reality',
+                'cross-origin-isolated',
+                'execution-while-not-rendered',
+                'execution-while-out-of-viewport',
+                'keyboard-map',
+                'navigation-override',
+                'publickey-credentials-get',
+                'xr-spatial-tracking'
+            ];
             
-            <a href="/news" class="page-card">
-                <div class="icon">📰</div>
-                <h3>News</h3>
-                <p>Latest crypto news</p>
-            </a>
+            const shouldSuppress = (message) => {
+                if (!message) return false;
+                const msg = message.toString().toLowerCase();
+                
+                // Check for "Unrecognized feature:" pattern
+                if (msg.includes('unrecognized feature:')) {
+                    return unrecognizedFeatures.some(feature => msg.includes(feature));
+                }
+                
+                // Also check for Permissions-Policy warnings
+                if (msg.includes('permissions-policy') || msg.includes('feature-policy')) {
+                    return unrecognizedFeatures.some(feature => msg.includes(feature));
+                }
+                
+                // Check for HF Space domain in warning
+                if (msg.includes('datasourceforcryptocurrency') && 
+                    unrecognizedFeatures.some(feature => msg.includes(feature))) {
+                    return true;
+                }
+                
+                return false;
+            };
             
-            <a href="/providers" class="page-card">
-                <div class="icon">🔌</div>
-                <h3>Data Providers</h3>
-                <p>API providers status</p>
-            </a>
+            console.warn = function(...args) {
+                const message = args[0]?.toString() || '';
+                if (shouldSuppress(message)) {
+                    return; // Suppress silently
+                }
+                originalWarn.apply(console, args);
+            };
             
-            <a href="/diagnostics" class="page-card">
-                <div class="icon">🔍</div>
-                <h3>Diagnostics</h3>
-                <p>System health and testing</p>
-            </a>
+            console.error = function(...args) {
+                const message = args[0]?.toString() || '';
+                if (shouldSuppress(message)) {
+                    return; // Suppress silently
+                }
+                originalError.apply(console, args);
+            };
             
-            <a href="/api-explorer" class="page-card">
-                <div class="icon">🛠️</div>
-                <h3>API Explorer</h3>
-                <p>Explore API endpoints</p>
-            </a>
-        </div>
-    </div>
+            window._hfWarningsSuppressed = true;
+        })();
+    </script>
 </body>
-</html>
+
+</html>

test_new_endpoints.html

@@ -0,0 +1,109 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <title>Test New Endpoints</title>
+    <style>
+        body {
+            font-family: monospace;
+            padding: 20px;
+            background: #1a1a1a;
+            color: #0f0;
+        }
+        .result {
+            background: #000;
+            padding: 10px;
+            margin: 10px 0;
+            border: 1px solid #0f0;
+            border-radius: 5px;
+        }
+        button {
+            background: #0f0;
+            color: #000;
+            border: none;
+            padding: 10px 20px;
+            cursor: pointer;
+            margin: 5px;
+            font-weight: bold;
+        }
+        button:hover {
+            background: #0d0;
+        }
+    </style>
+</head>
+<body>
+    <h1>🧪 Test New API Endpoints</h1>
+    
+    <h2>1. Sentiment Analysis</h2>
+    <button onclick="testSentiment('Bitcoin is pumping to the moon! Bullish rally!')">Test Bullish Text</button>
+    <button onclick="testSentiment('Market is crashing, sell everything!')">Test Bearish Text</button>
+    <button onclick="testSentiment('Bitcoin price remains stable today')">Test Neutral Text</button>
+    <div class="result" id="sentiment-result"></div>
+    
+    <h2>2. AI Decision</h2>
+    <button onclick="testDecision('BTC', 50000, 7, 2000000000, 'bullish')">Test BUY Signal</button>
+    <button onclick="testDecision('BTC', 50000, -7, 2000000000, 'bearish')">Test SELL Signal</button>
+    <button onclick="testDecision('BTC', 50000, 1, 500000000, 'neutral')">Test HOLD Signal</button>
+    <div class="result" id="decision-result"></div>
+    
+    <script>
+        async function testSentiment(text) {
+            const resultDiv = document.getElementById('sentiment-result');
+            resultDiv.innerHTML = 'Testing...';
+            
+            try {
+                const response = await fetch('http://localhost:7860/api/sentiment/analyze', {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/json'
+                    },
+                    body: JSON.stringify({ text: text })
+                });
+                
+                const data = await response.json();
+                resultDiv.innerHTML = `
+                    <h3>✅ Sentiment Analysis Result:</h3>
+                    <pre>${JSON.stringify(data, null, 2)}</pre>
+                `;
+            } catch (error) {
+                resultDiv.innerHTML = `
+                    <h3>❌ Error:</h3>
+                    <pre>${error.message}</pre>
+                `;
+            }
+        }
+        
+        async function testDecision(symbol, price, change_24h, volume, sentiment) {
+            const resultDiv = document.getElementById('decision-result');
+            resultDiv.innerHTML = 'Testing...';
+            
+            try {
+                const response = await fetch('http://localhost:7860/api/ai/decision', {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/json'
+                    },
+                    body: JSON.stringify({ 
+                        symbol: symbol,
+                        price: price,
+                        change_24h: change_24h,
+                        volume: volume,
+                        sentiment: sentiment
+                    })
+                });
+                
+                const data = await response.json();
+                resultDiv.innerHTML = `
+                    <h3>✅ AI Decision Result:</h3>
+                    <pre>${JSON.stringify(data, null, 2)}</pre>
+                `;
+            } catch (error) {
+                resultDiv.innerHTML = `
+                    <h3>❌ Error:</h3>
+                    <pre>${error.message}</pre>
+                `;
+            }
+        }
+    </script>
+</body>
+</html>
+