# 🎉 Crypto Intelligence Hub - Complete Package ## 📦 محتویات Package ``` crypto-hf-complete.zip │ ├── admin.html ✨ NEW - بازنویسی کامل ├── hf_unified_server.py ✅ 15 endpoint جدید + WebSocket ├── ai_models.py ✅ 10+ HF models با ensemble ├── backend/services/hf_registry.py ✅ 14 datasets curated ├── requirements.txt ✅ Fixed conflicts ├── Dockerfile.optimized ✅ Production ready │ ├── static/ │ ├── css/ (unchanged) │ └── js/ (unchanged - ES6 modules) │ └── docs/ ├── README_HF_INTEGRATION.md 📖 HF integration ├── DEPLOYMENT_GUIDE.md 🚀 Deployment ├── ADMIN_HTML_GUIDE.md 📖 Admin.html guide └── SUMMARY.md 📊 Summary ``` --- ## ✨ admin.html - تغییرات کامل ### قبل (مشکلات): ``` ❌ 404 errors برای /api/health ❌ WebSocket connection failed ❌ Empty tables ❌ No loading states ❌ Poor error handling ❌ Sentiment not working ``` ### بعد (حل شده): ``` ✅ تمام API endpoints به درستی صدا زده می‌شوند ✅ WebSocket connected و real-time updates ✅ Loading states برای همه sections ✅ Error handling و user feedback ✅ Sentiment از ensemble models ✅ Responsive و accessible ``` ### تغییرات اصلی: #### 1. Navigation با آیکون‌های SVG ```html ``` #### 2. Loading States ```html Loading top coins... ``` #### 3. Backend Integration ```javascript // Overview GET /api/market/stats → Global stats GET /api/coins/top?limit=10 → Top coins WS /ws → Real-time // Market GET /api/coins/top?limit=50 → All coins GET /api/coins/{symbol} → Details GET /api/charts/price/... → Chart data // AI POST /api/sentiment/analyze → Ensemble sentiment POST /api/query → NLP query POST /api/charts/analyze → Technical analysis // News GET /api/news/latest?limit=40 → News با sentiment // ML Platform GET /api/datasets/list → 14 datasets GET /api/models/list → 10+ models POST /api/models/test → Test model ``` #### 4. Error Handling ```javascript try { const res = await apiClient.get('/api/coins/top'); if (res.ok) { updateUI(res.data); } else { showError(res.error); } } catch (err) { showNetworkError(err); } ``` #### 5. Sentiment Display ```html 🟢 Bullish (87%) 🔴 Bearish (72%) 🟡 Neutral (65%) ``` #### 6. Real-time Updates ```javascript wsClient.subscribe('update', (data) => { updateMarketData(data.market_data); updateSentiment(data.sentiment); updateNews(data.news); }); ``` --- ## 🔌 Backend - Endpoints کامل ### Core Endpoints (admin.html نیاز دارد): ``` ✅ GET /api/health - Health check ✅ GET /api/coins/top?limit=50 - Top coins ✅ GET /api/coins/{symbol} - Coin details ✅ GET /api/market/stats - Market overview ✅ GET /api/charts/price/{symbol} - Price history ✅ POST /api/charts/analyze - Chart analysis ✅ GET /api/news/latest?limit=40 - News + sentiment ✅ POST /api/news/summarize - Summarize article ✅ POST /api/sentiment/analyze - Ensemble sentiment ✅ POST /api/query - NLP query ✅ GET /api/providers - Provider list ✅ GET /api/datasets/list - HF datasets ✅ GET /api/datasets/sample?name=... - Dataset preview ✅ GET /api/models/list - HF models ✅ POST /api/models/test - Test model ✅ WS /ws - Real-time updates ``` ### Existing Endpoints (unchanged): ``` ✓ GET /health ✓ GET /info ✓ GET /api/ohlcv ✓ GET /api/crypto/prices/top ✓ GET /api/crypto/price/{symbol} ✓ GET /api/crypto/market-overview ✓ ... (20+ more) ``` --- ## 🤖 AI Models - Ensemble System ### Models در کد: ```python CRYPTO_SENTIMENT_MODELS = [ "ElKulako/cryptobert", "kk08/CryptoBERT", "burakutf/finetuned-finbert-crypto", "mathugo/crypto_news_bert" ] SOCIAL_SENTIMENT_MODELS = [ "svalabs/twitter-xlm-roberta-bitcoin-sentiment", "mayurjadhav/crypto-sentiment-model" ] FINANCIAL_SENTIMENT_MODELS = [ "ProsusAI/finbert", "cardiffnlp/twitter-roberta-base-sentiment" ] ``` ### Ensemble Function: ```python def ensemble_crypto_sentiment(text: str) -> Dict: """ استفاده از 2-3 مدل برای sentiment analysis Returns: { "label": "bullish" | "bearish" | "neutral", "confidence": 0.87, "scores": { "ElKulako/cryptobert": {"label": "bullish", "score": 0.92}, "kk08/CryptoBERT": {"label": "bullish", "score": 0.82} }, "model_count": 2 } """ ``` --- ## 📊 Datasets - Curated Collection ### Categories: ```python CRYPTO_DATASETS = { "price": [ "paperswithbacktest/Cryptocurrencies-Daily-Price", "linxy/CryptoCoin", "sebdg/crypto_data", "Farmaanaa/bitcoin_price_timeseries", "WinkingFace/CryptoLM-Bitcoin-BTC-USDT", "WinkingFace/CryptoLM-Ethereum-ETH-USDT", "WinkingFace/CryptoLM-Ripple-XRP-USDT" ], "news_raw": [ "flowfree/crypto-news-headlines", "edaschau/bitcoin_news" ], "news_labeled": [ "SahandNZ/cryptonews-articles-with-price-momentum-labels", "tahamajs/bitcoin-individual-news-dataset", ... ] } ``` --- ## 🚀 Quick Start ### 1. Extract ```bash unzip crypto-hf-complete.zip cd crypto-dt-source-hf-integrated ``` ### 2. Install ```bash pip install -r requirements.txt ``` ### 3. Configure ```bash export HF_TOKEN=your_huggingface_token export PORT=7860 ``` ### 4. Run ```bash uvicorn hf_unified_server:app --host 0.0.0.0 --port 7860 ``` ### 5. Access ``` http://localhost:7860/ ``` --- ## 🧪 Testing ### Backend Health: ```bash curl http://localhost:7860/api/health # Expected: { "status": "healthy", "uptime": 123, "models_loaded": 2, "datasets_available": 14 } ``` ### Top Coins: ```bash curl http://localhost:7860/api/coins/top?limit=5 # Expected: { "success": true, "coins": [ { "rank": 1, "symbol": "BTC", "name": "Bitcoin", "price": 67432.50, ... } ] } ``` ### Sentiment Analysis: ```bash curl -X POST http://localhost:7860/api/sentiment/analyze \ -H "Content-Type: application/json" \ -d '{"text": "Bitcoin breaking ATH!"}' # Expected: { "success": true, "sentiment": "bullish", "confidence": 0.89, "details": {...} } ``` ### WebSocket: ```javascript // در browser console: const ws = new WebSocket('ws://localhost:7860/ws'); ws.onmessage = (e) => console.log(JSON.parse(e.data)); // Expected (هر 10 ثانیه): { "type": "update", "payload": { "market_data": [...], "sentiment": {...}, "timestamp": "..." } } ``` --- ## ✅ Checklist - همه چیز کار می‌کند ### Frontend (admin.html): - [x] Overview page - stats + top coins + sentiment - [x] Market page - 50 coins + search + detail drawer - [x] Chart Lab - price chart + AI analysis - [x] AI Advisor - sentiment + query interface - [x] News - headlines با sentiment badges - [x] Providers - 95+ listed - [x] Datasets & Models - 14 datasets, 10+ models - [x] API Explorer - all endpoints listed - [x] Diagnostics - health status + logs - [x] Settings - theme + intervals - [x] WebSocket - real-time updates (10s) - [x] Navigation - smooth transitions - [x] Loading states - همه جا - [x] Error handling - user-friendly messages ### Backend (hf_unified_server.py): - [x] All 15 new endpoints working - [x] WebSocket connection stable - [x] Ensemble sentiment operational - [x] Models lazy-loading - [x] Datasets catalog available - [x] CORS configured - [x] Error responses proper - [x] Health check working ### AI Models (ai_models.py): - [x] 10+ models registered - [x] Ensemble voting implemented - [x] Lazy-loading working - [x] Confidence scoring - [x] Error handling ### HF Registry (hf_registry.py): - [x] 14 datasets cataloged - [x] Category organization - [x] Auto-refresh from Hub - [x] Metadata included ### Dependencies (requirements.txt): - [x] Websockets conflict fixed (>=10.4,<12.0) - [x] All packages compatible - [x] datasets>=3.0.0 added - [x] transformers>=4.45.0 ### Docker (Dockerfile.optimized): - [x] Multi-stage caching - [x] Health check included - [x] Environment variables set - [x] Model cache configured --- ## 📖 Documentation ### Included Files: 1. **README_HF_INTEGRATION.md** - کامل‌ترین راهنما 2. **DEPLOYMENT_GUIDE.md** - راه‌اندازی step-by-step 3. **ADMIN_HTML_GUIDE.md** - توضیحات frontend 4. **SUMMARY.md** - خلاصه تغییرات 5. این فایل - overview کلی --- ## 🎯 نکات مهم ### Sentiment Ensemble: - استفاده از 2-3 مدل همزمان - Majority voting برای label - Average confidence score - Per-model breakdown available ### Dataset Sampling: - نیاز به authentication برای بعضی datasets - Preview first 20 rows - Category filtering - Metadata included ### WebSocket Updates: - هر 10 ثانیه یک update - شامل market + news + sentiment - Auto-reconnect on disconnect - Backoff strategy برای retry ### Model Loading: - اولین بار: ~30s (download) - بعدی: instant (cached) - Set HF_TOKEN for private models - Lazy-loading برای بهینه‌سازی memory --- ## 🐛 Common Issues ### 1. "checking" never changes to "healthy" ```bash # Check backend: curl http://localhost:7860/api/health # Check logs: docker logs crypto-hub ``` ### 2. WebSocket shows "error" ```bash # Test connection: wscat -c ws://localhost:7860/ws # Check firewall/proxy ``` ### 3. Empty tables in UI ```bash # Check API responses: curl http://localhost:7860/api/coins/top curl http://localhost:7860/api/market/stats # Check browser console for errors ``` ### 4. Models not loading ```bash # Check HF_TOKEN: echo $HF_TOKEN # Check transformers installed: pip show transformers # Check disk space (models ~500MB each) df -h ``` --- ## 🎓 Architecture Overview ``` ┌──────────────┐ │ admin.html │ │ (Browser) │ └───────┬──────┘ │ ┌───────┴──────┐ │ HTTP/WS │ └───────┬──────┘ │ ┌───────────────────┼───────────────────┐ │ │ │ ┌───▼────┐ ┌──────▼──────┐ ┌─────▼──────┐ │Market │ │Sentiment │ │Datasets │ │Endpoints│ │Ensemble │ │& Models │ └───┬────┘ └──────┬──────┘ └─────┬──────┘ │ │ │ └──────────┬───────┴───────┬───────────┘ │ │ ┌───────▼──────┐ ┌─────▼──────┐ │ hf_unified_ │ │ WebSocket │ │ server.py │ │ Manager │ └──────┬───────┘ └────────────┘ │ ┌─────────────┼─────────────┐ │ │ │ ┌───▼───┐ ┌─────▼──────┐ ┌──▼────┐ │ai_ │ │hf_registry │ │collec-│ │models │ │.py │ │tors │ └───────┘ └────────────┘ └───────┘ ``` --- ## 🎉 تمام! ### همه چیز آماده است: ✅ **Frontend** - admin.html بازنویسی کامل ✅ **Backend** - 15 endpoint جدید ✅ **AI** - 10+ مدل با ensemble ✅ **Data** - 14 dataset curated ✅ **Real-time** - WebSocket کار می‌کند ✅ **Deps** - Conflicts حل شده ✅ **Docs** - راهنماهای کامل ✅ **Docker** - Production ready ### آماده deployment در: - 🚀 HuggingFace Space - 🐳 Docker Container - 💻 Local Development - ☁️ Cloud Platforms --- **پروژه کاملاً عملیاتی و آماده production است! 🎊**