Cursor Agent
Fix AI models pages and add monitoring system
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# πŸš€ START HERE - Instructions for AI Developer
## ⚠️ CRITICAL: THIS IS AN UPDATE REQUEST, NOT A NEW PROJECT
**IMPORTANT:** This is a **SPACE UPDATE REQUEST** for an existing HuggingFace Space. You are NOT creating a new space from scratch. You are **UPDATING and ENHANCING** an existing deployment to add comprehensive API capabilities.
---
## πŸ“‹ STEP-BY-STEP READING ORDER
Follow this **EXACT ORDER** when reading the documentation:
### **STEP 1: Read the Summary (5 minutes)**
πŸ“„ **File:** `HF_DEPLOYMENT_SUMMARY.md`
**Purpose:** Get a quick overview of what needs to be done
**What to understand:**
- This is an UPDATE to existing HuggingFace Space
- We need to add 30+ API endpoints
- Goal is to centralize ALL data requests through HF Space
- Current problem: 60+ files making scattered API calls
**Key takeaway:** Understand the "why" before diving into "how"
---
### **STEP 2: Read the Official Request Letter (10 minutes)**
πŸ“„ **File:** `SEND_TO_HF_TEAM.md`
**Purpose:** Understand the scope and priorities
**What to understand:**
- Request type: UPDATE (not new deployment)
- Priority: HIGH
- Success criteria
- Key requirements overview
- Tech stack overview
**Key takeaway:** Understand project priorities and success metrics
---
### **STEP 3: Read Architecture Analysis (30 minutes)**
πŸ“„ **File:** `DATA_ARCHITECTURE_ANALYSIS_REPORT.md`
**Purpose:** Understand current state and why changes are needed
**What to understand:**
- Current architecture weaknesses
- Files that need modification (63 files listed)
- Data sources currently used
- Proposed new architecture (Data Highway)
- Implementation roadmap
**Key takeaway:** Understand the "before" state to implement the "after" state correctly
---
### **STEP 4: Read Complete API Specifications (2-3 hours)**
πŸ“„ **File:** `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md`
**Purpose:** This is your MAIN REFERENCE for implementation
**What to understand:**
- **ALL 30+ API endpoint specifications**
- Request/Response formats for each endpoint
- Query parameters
- Path parameters
- Error handling formats
- WebSocket implementation
- Caching strategy
- Rate limiting
- Data source integration
- AI/ML models integration
- Deployment configuration
- Testing procedures
**Key takeaway:** This file contains EVERYTHING you need to implement. Read it thoroughly.
**⚠️ CRITICAL SECTIONS (Must Read Carefully):**
1. **API Specifications (Lines 1-800)** ← All endpoint definitions
2. **Technical Requirements (Lines 801-1000)** ← Backend code
3. **Data Sources Integration (Lines 1001-1200)** ← API integrations
4. **Caching Strategy (Lines 1201-1300)** ← Performance
5. **AI/ML Models (Lines 1301-1500)** ← AI features
6. **WebSocket Implementation (Lines 1501-1700)** ← Real-time
7. **Deployment Config (Lines 1701-1900)** ← Dockerfile, requirements.txt
8. **Testing & Verification (Lines 1901-end)** ← Quality assurance
---
### **STEP 5: Read Engineering Standards (Optional, 1 hour)**
πŸ“„ **File:** `ENGINEERING_GUIDE.md`
**Purpose:** Understand coding standards and best practices
**What to understand:**
- Code style guidelines
- Component architecture
- Error handling patterns
- Testing requirements
- Documentation standards
**Key takeaway:** Write code that matches project standards
---
## 🎯 IMPLEMENTATION CHECKLIST
After reading all documentation, follow this implementation order:
### **Phase 1: Environment Setup**
```bash
- [ ] Clone/access existing HuggingFace Space
- [ ] Set up Python 3.9+ environment
- [ ] Install Redis locally for testing
- [ ] Create virtual environment
- [ ] Install all dependencies from requirements.txt
```
### **Phase 2: Core API Framework**
```bash
- [ ] Set up FastAPI application structure
- [ ] Configure CORS middleware
- [ ] Set up Redis connection
- [ ] Create health check endpoint (/health)
- [ ] Test basic server startup
```
### **Phase 3: Data Sources Integration**
```bash
- [ ] Implement CoinGecko API client
- [ ] Implement Binance API client
- [ ] Implement NewsAPI client
- [ ] Implement CryptoPanic client
- [ ] Implement Alternative.me client
- [ ] Create fallback mechanism
- [ ] Test each data source individually
```
### **Phase 4: Market Data Endpoints**
```bash
- [ ] Implement GET /api/market
- [ ] Implement GET /api/price/{symbol}
- [ ] Implement GET /api/ohlcv
- [ ] Implement GET /api/ticker/{symbol}
- [ ] Add caching for each endpoint
- [ ] Test all market endpoints
```
### **Phase 5: News & Sentiment Endpoints**
```bash
- [ ] Implement GET /api/news/latest
- [ ] Implement GET /api/sentiment/global
- [ ] Implement GET /api/sentiment/symbol/{symbol}
- [ ] Integrate Fear & Greed Index
- [ ] Test all news endpoints
```
### **Phase 6: Trading Endpoints**
```bash
- [ ] Implement GET /api/exchange-info
- [ ] Implement GET /api/orderbook/{symbol}
- [ ] Implement GET /api/trades/{symbol}
- [ ] Test all trading endpoints
```
### **Phase 7: AI/ML Integration**
```bash
- [ ] Load BERT sentiment model (ElKulako/cryptobert)
- [ ] Implement sentiment analysis function
- [ ] Implement price prediction model
- [ ] Implement GET /api/ai/signals
- [ ] Implement POST /api/ai/predict
- [ ] Implement GET /api/ai/analysis/{symbol}
- [ ] Test all AI endpoints
```
### **Phase 8: Blockchain Endpoints**
```bash
- [ ] Implement GET /api/blockchain/transactions/{address}
- [ ] Implement GET /api/blockchain/whale-alerts
- [ ] Test blockchain endpoints
```
### **Phase 9: Statistics Endpoints**
```bash
- [ ] Implement GET /api/stats
- [ ] Implement GET /api/stats/dominance
- [ ] Implement GET /api/history/price/{symbol}
- [ ] Test statistics endpoints
```
### **Phase 10: WebSocket Implementation**
```bash
- [ ] Create WebSocket connection manager
- [ ] Implement WS /ws/ticker
- [ ] Implement WS /ws/trades
- [ ] Create broadcast mechanism
- [ ] Test WebSocket connections
- [ ] Test subscribe/unsubscribe
```
### **Phase 11: Performance & Optimization**
```bash
- [ ] Implement caching layer (Redis)
- [ ] Implement rate limiting
- [ ] Add request deduplication
- [ ] Optimize database queries (if any)
- [ ] Test performance under load
```
### **Phase 12: Error Handling & Logging**
```bash
- [ ] Implement consistent error format
- [ ] Add logging for all endpoints
- [ ] Add error tracking
- [ ] Test error scenarios
```
### **Phase 13: Testing**
```bash
- [ ] Test all 30+ endpoints individually
- [ ] Test error handling
- [ ] Test fallback mechanisms
- [ ] Test caching
- [ ] Test rate limiting
- [ ] Test WebSocket stability
- [ ] Load test with 100+ concurrent users
```
### **Phase 14: Documentation**
```bash
- [ ] Verify /docs endpoint works (FastAPI auto-docs)
- [ ] Add API examples to README
- [ ] Document authentication (if added)
- [ ] Document rate limits
```
### **Phase 15: Deployment**
```bash
- [ ] Create Dockerfile
- [ ] Test Docker build locally
- [ ] Configure environment variables in HF Space
- [ ] Push to HuggingFace Space
- [ ] Verify deployment
- [ ] Test all endpoints in production
- [ ] Monitor for 24 hours
```
---
## πŸ”‘ CRITICAL REMINDERS
### ⚠️ THIS IS AN UPDATE
```
YOU ARE NOT CREATING A NEW SPACE!
YOU ARE UPDATING AN EXISTING SPACE!
This means:
βœ… Use existing space repository
βœ… Keep existing functionality (if any)
βœ… ADD new endpoints
βœ… ENHANCE existing features
βœ… Don't break existing integrations
```
### ⚠️ PRIORITY ORDER
```
1. MUST HAVE (implement first):
- GET /api/market
- GET /api/ohlcv
- GET /api/news/latest
- GET /api/sentiment/global
- GET /api/ai/signals
2. SHOULD HAVE (implement second):
- All other REST endpoints
- WebSocket /ws/ticker
3. NICE TO HAVE (implement if time):
- Advanced AI features
- WebSocket /ws/trades
- Blockchain endpoints
```
### ⚠️ QUALITY STANDARDS
```
βœ… ALL endpoints must return valid JSON
βœ… ALL errors must follow the standard format
βœ… ALL endpoints must have caching
βœ… ALL responses must include timestamp
βœ… ALL endpoints must handle timeouts gracefully
βœ… ALL data sources must have fallbacks
```
### ⚠️ PERFORMANCE REQUIREMENTS
```
Response Times:
- Price endpoints: < 100ms
- Market data: < 500ms
- News/Sentiment: < 1s
- AI predictions: < 2s
Caching TTL:
- Prices: 5 seconds
- OHLCV: 60 seconds
- News: 5 minutes
- AI signals: 2 minutes
Rate Limits:
- Per IP: 100 requests/minute
- Per endpoint: Varies (see specs)
```
---
## πŸ“š QUICK REFERENCE GUIDE
### When you need to find...
**Endpoint specifications** β†’ `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` (Section: "DETAILED API SPECIFICATIONS")
**Request/Response formats** β†’ `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` (Each endpoint section)
**Backend code examples** β†’ `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` (Section: "TECHNICAL REQUIREMENTS")
**Data source integration** β†’ `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` (Section: "Data Sources Integration")
**Caching implementation** β†’ `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` (Section: "Caching Strategy")
**AI model code** β†’ `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` (Section: "AI/ML Models Integration")
**WebSocket code** β†’ `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` (Section: "WebSocket Implementation")
**Deployment files** β†’ `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` (Section: "DEPLOYMENT CONFIGURATION")
**Testing procedures** β†’ `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` (Section: "VERIFICATION CHECKLIST")
**Current architecture** β†’ `DATA_ARCHITECTURE_ANALYSIS_REPORT.md`
**Project overview** β†’ `HF_DEPLOYMENT_SUMMARY.md`
---
## 🚨 COMMON MISTAKES TO AVOID
### ❌ DON'T:
```
❌ Create a new HuggingFace Space (it already exists!)
❌ Remove existing functionality
❌ Hard-code API keys in the code
❌ Skip error handling
❌ Ignore caching requirements
❌ Skip testing
❌ Deploy without local testing
❌ Use synchronous code (use async/await)
❌ Return inconsistent response formats
❌ Ignore rate limiting
```
### βœ… DO:
```
βœ… Update the existing Space
βœ… Use environment variables for secrets
βœ… Implement proper error handling
βœ… Add caching to every endpoint
βœ… Test locally before deploying
βœ… Use async/await throughout
βœ… Follow the standard response format
βœ… Implement rate limiting
βœ… Add fallback mechanisms
βœ… Log all errors
```
---
## πŸ“ž QUESTIONS & CLARIFICATIONS
If you're unsure about something:
1. **Check the main spec file first** - `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` has 120+ pages of details
2. **Look at code examples** - The spec file includes complete Python code
3. **Review architecture report** - `DATA_ARCHITECTURE_ANALYSIS_REPORT.md` explains the "why"
4. **Check the summary** - `HF_DEPLOYMENT_SUMMARY.md` might answer quick questions
---
## 🎯 SUCCESS CRITERIA
You'll know you're done when:
βœ… All 30+ endpoints return valid responses
βœ… WebSocket connections are stable
βœ… Caching improves response times
βœ… Fallback mechanisms work
βœ… AI models generate predictions
βœ… `/docs` endpoint shows interactive API documentation
βœ… Health check endpoint works
βœ… All endpoints tested in production
βœ… No errors in logs for 24 hours
βœ… Response times meet requirements
---
## πŸš€ READY TO START?
### Your first 3 actions should be:
1. **Read** `HF_DEPLOYMENT_SUMMARY.md` (5 min)
2. **Read** `SEND_TO_HF_TEAM.md` (10 min)
3. **Read** `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` (2-3 hours)
### Then:
4. Set up local environment
5. Start with Phase 1 of implementation
6. Follow the checklist above
7. Test everything
8. Deploy
---
## πŸ“‹ FILE STRUCTURE OVERVIEW
```
πŸ“ Project Documentation/
β”‚
β”œβ”€β”€ πŸ“„ START_HERE_INSTRUCTIONS.md ← YOU ARE HERE
β”‚ └── Read this first for navigation
β”‚
β”œβ”€β”€ πŸ“„ HF_DEPLOYMENT_SUMMARY.md ← Step 1: Quick overview (5 min)
β”‚ └── What we're building and why
β”‚
β”œβ”€β”€ πŸ“„ SEND_TO_HF_TEAM.md ← Step 2: Official request (10 min)
β”‚ └── Scope, priorities, success criteria
β”‚
β”œβ”€β”€ πŸ“„ DATA_ARCHITECTURE_ANALYSIS_REPORT.md ← Step 3: Architecture (30 min)
β”‚ └── Current state, problems, solution
β”‚
β”œβ”€β”€ πŸ“„ HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md ← Step 4: MAIN SPEC (2-3 hours)
β”‚ └── Complete API specifications + code
β”‚
└── πŸ“„ ENGINEERING_GUIDE.md ← Step 5: Standards (optional, 1 hour)
└── Coding standards and best practices
```
---
## ⏱️ TIME ESTIMATE
**Reading:** 3-4 hours
**Setup:** 1-2 hours
**Implementation:** 3-5 days (full-time)
**Testing:** 1-2 days
**Deployment:** 1 day
**Total:** 5-8 days for complete implementation
---
## πŸŽ“ LEARNING PATH
If you're new to any of these technologies:
**FastAPI:** Read official docs at https://fastapi.tiangolo.com/
**Redis:** Read caching guide at https://redis.io/docs/
**WebSockets:** Read FastAPI WebSocket guide
**HuggingFace Spaces:** Read deployment guide
**CCXT:** Read crypto exchange library docs
---
## πŸ“Œ FINAL REMINDER
### THIS IS AN UPDATE REQUEST! πŸ”„
```
NOT creating new space ❌
UPDATING existing space βœ…
NOT a new project ❌
ENHANCING existing project βœ…
NOT starting from zero ❌
BUILDING on existing foundation βœ…
```
---
## βœ… PRE-FLIGHT CHECKLIST
Before you start coding, confirm:
- [ ] I have read `HF_DEPLOYMENT_SUMMARY.md`
- [ ] I have read `SEND_TO_HF_TEAM.md`
- [ ] I have read `DATA_ARCHITECTURE_ANALYSIS_REPORT.md`
- [ ] I have read `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` completely
- [ ] I understand this is an UPDATE, not a new project
- [ ] I understand the priority order (MUST/SHOULD/NICE TO HAVE)
- [ ] I have access to the existing HuggingFace Space
- [ ] I have Python 3.9+ installed
- [ ] I have Redis installed (or know how to use cloud Redis)
- [ ] I have API keys for: CoinGecko, Binance, NewsAPI, etc.
- [ ] I understand the success criteria
- [ ] I am ready to start Phase 1
---
## πŸš€ GO!
**Start with:** `HF_DEPLOYMENT_SUMMARY.md`
**Then proceed** through the reading order above.
**Good luck!** 🎯
---
**Version:** 1.0
**Last Updated:** December 5, 2025
**Project:** Dreammaker Crypto Trading Platform - HF Space Update
**Status:** 🟒 Ready for Implementation