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Welcome to the **TCP Dashboard** (Trading Crypto Platform) documentation. This platform provides a comprehensive solution for cryptocurrency trading bot development, backtesting, and portfolio management.
## 📚 Documentation Index
## 📚 Documentation Structure
### 🏗️ **Architecture & Design**
The documentation is organized into specialized sections for better navigation and maintenance:
- **[Architecture Overview](architecture.md)** - High-level system architecture and component design
- **[Project Specification](specification.md)** - Technical specifications and requirements
- **[Crypto Bot PRD](crypto-bot-prd.md)** - Product Requirements Document for the crypto trading bot platform
### 🏗️ **[Architecture & Design](architecture/)**
### 🚀 **Setup & Installation**
- **[Architecture Overview](architecture/architecture.md)** - High-level system architecture and component design
- **[Crypto Bot PRD](architecture/crypto-bot-prd.md)** - Product Requirements Document for the crypto trading bot platform
- **[Setup Guide](setup.md)** - Comprehensive setup instructions for new machines and environments
- Environment configuration
- Database setup with Docker
- Development workflow
- Production deployment
### 🔧 **[Core Components](components/)**
### 🔧 **Core Systems**
- **[Data Collectors](components/data_collectors.md)** - *Comprehensive guide to the enhanced data collector system*
- BaseDataCollector abstract class with health monitoring
- CollectorManager for centralized management
- Exchange Factory Pattern for standardized collector creation
- Modular Exchange Architecture for scalable implementation
- Auto-restart and failure recovery mechanisms
#### Data Collection System
- **[Logging System](components/logging.md)** - *Unified logging framework*
- Multi-level logging with automatic cleanup
- Console and file output with formatting
- Performance monitoring integration
- **[Data Collectors Documentation](data_collectors.md)** - *Comprehensive guide to the enhanced data collector system*
- **BaseDataCollector** abstract class with health monitoring
- **CollectorManager** for centralized management
- **Exchange Factory Pattern** for standardized collector creation
- **Modular Exchange Architecture** for scalable implementation
- Auto-restart and failure recovery
- Health monitoring and alerting
- Performance optimization
- Integration examples
- Troubleshooting guide
### 🌐 **[Exchange Integrations](exchanges/)**
- **[OKX Collector Documentation](okx_collector.md)** - *Complete guide to OKX exchange integration*
- **[OKX Collector](exchanges/okx_collector.md)** - *Complete guide to OKX exchange integration*
- Real-time trades, orderbook, and ticker data collection
- WebSocket connection management with OKX-specific ping/pong
- Factory pattern usage and configuration
- Data processing and validation
- Monitoring and troubleshooting
- Production deployment guide
#### Logging System
- **[Exchange Overview](exchanges/)** - Multi-exchange architecture and comparison
- **[Enhanced Logging System](logging.md)** - Unified logging framework
- Multi-level logging with automatic cleanup
- Console and file output with formatting
- Performance monitoring
- Integration across all components
### 📖 **[Setup & Guides](guides/)**
- **[Setup Guide](guides/setup.md)** - *Comprehensive setup instructions*
- Environment configuration and prerequisites
- Database setup with Docker and PostgreSQL
- Development workflow and best practices
- Production deployment guidelines
### 📋 **[Technical Reference](reference/)**
- **[Project Specification](reference/specification.md)** - *Technical specifications and requirements*
- System requirements and constraints
- Database schema specifications
- API endpoint definitions
- Data format specifications
## 🎯 **Quick Start**
1. **New to the platform?** Start with the [Setup Guide](setup.md)
2. **Implementing data collectors?** See [Data Collectors Documentation](data_collectors.md)
3. **Understanding the architecture?** Read [Architecture Overview](architecture.md)
4. **Troubleshooting?** Check component-specific documentation
1. **New to the platform?** Start with the [Setup Guide](guides/setup.md)
2. **Implementing data collectors?** See [Data Collectors Documentation](components/data_collectors.md)
3. **Understanding the architecture?** Read [Architecture Overview](architecture/architecture.md)
4. **Exchange integration?** Check [Exchange Documentation](exchanges/)
5. **Troubleshooting?** Check component-specific documentation
## 🏛️ **System Components**
@ -219,21 +222,38 @@ uv run pytest --cov=data --cov-report=html
---
## 📁 **File Structure**
## 📁 **Documentation File Structure**
```
TCPDashboard/
├── docs/ # Documentation (you are here)
├── data/ # Data collection system
├── database/ # Database models and utilities
├── utils/ # Shared utilities (logging, etc.)
├── tests/ # Test suite
├── examples/ # Usage examples
├── config/ # Configuration files
├── logs/ # Application logs
└── scripts/ # Utility scripts
docs/
├── README.md # This file - main documentation index
├── architecture/ # System architecture and design
│ ├── README.md # Architecture overview
│ ├── architecture.md # Technical architecture
│ └── crypto-bot-prd.md # Product requirements
├── components/ # Core system components
│ ├── README.md # Component overview
│ ├── data_collectors.md # Data collection system
│ └── logging.md # Logging framework
├── exchanges/ # Exchange integrations
│ ├── README.md # Exchange overview
│ └── okx_collector.md # OKX implementation
├── guides/ # User guides and tutorials
│ ├── README.md # Guide overview
│ └── setup.md # Setup instructions
└── reference/ # Technical reference
├── README.md # Reference overview
└── specification.md # Technical specifications
```
## 🔗 **Navigation**
- **🏗️ [Architecture & Design](architecture/)** - System design and requirements
- **🔧 [Core Components](components/)** - Technical implementation details
- **🌐 [Exchange Integrations](exchanges/)** - Exchange-specific documentation
- **📖 [Setup & Guides](guides/)** - User guides and tutorials
- **📋 [Technical Reference](reference/)** - API specifications and schemas
---
*Last updated: $(date)*

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# Architecture Documentation
This section contains system architecture and design documentation for the TCP Dashboard platform.
## 📋 Contents
### System Architecture
- **[Architecture Overview](architecture.md)** - *High-level system architecture and component design*
- Core system components and interactions
- Data flow and processing pipelines
- Service architecture and deployment patterns
- Technology stack and infrastructure
### Product Requirements
- **[Crypto Bot PRD](crypto-bot-prd.md)** - *Product Requirements Document for the crypto trading bot platform*
- Platform vision and objectives
- Feature specifications and requirements
- User personas and use cases
- Technical requirements and constraints
- Implementation roadmap and milestones
## 🏗️ System Overview
The TCP Dashboard follows a modular, microservices-inspired architecture designed for:
- **Scalability**: Horizontal scaling of individual components
- **Reliability**: Fault tolerance and auto-recovery mechanisms
- **Maintainability**: Clear separation of concerns and modular design
- **Extensibility**: Easy addition of new exchanges, strategies, and features
## 🔗 Related Documentation
- **[Components Documentation](../components/)** - Technical implementation details
- **[Setup Guide](../guides/setup.md)** - System setup and configuration
- **[Reference Documentation](../reference/)** - API specifications and technical references
---
*For the complete documentation index, see the [main documentation README](../README.md).*

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# Components Documentation
This section contains detailed technical documentation for all system components in the TCP Dashboard platform.
## 📋 Contents
### Data Collection System
- **[Data Collectors](data_collectors.md)** - *Comprehensive guide to the enhanced data collector system*
- **BaseDataCollector** abstract class with health monitoring
- **CollectorManager** for centralized management
- **Exchange Factory Pattern** for standardized collector creation
- **Modular Exchange Architecture** for scalable implementation
- Auto-restart and failure recovery mechanisms
- Health monitoring and alerting systems
- Performance optimization techniques
- Integration examples and patterns
- Comprehensive troubleshooting guide
### Logging & Monitoring
- **[Enhanced Logging System](logging.md)** - *Unified logging framework*
- Multi-level logging with automatic cleanup
- Console and file output with formatting
- Performance monitoring integration
- Cross-component logging standards
- Log aggregation and analysis
## 🔧 Component Architecture
### Core Components
```
┌─────────────────────────────────────────────────────────────┐
│ CollectorManager │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ Global Health Monitor │ │
│ │ • System-wide health checks │ │
│ │ • Auto-restart coordination │ │
│ │ • Performance analytics │ │
│ └─────────────────────────────────────────────────────┘ │
│ │ │
│ ┌─────────────────┐ ┌─────────────────┐ ┌──────────────┐ │
│ │ OKX Collector │ │Binance Collector│ │ Custom │ │
│ │ │ │ │ │ Collector │ │
│ │ • Health Monitor│ │ • Health Monitor│ │ • Health Mon │ │
│ │ • Auto-restart │ │ • Auto-restart │ │ • Auto-resta │ │
│ │ • Data Validate │ │ • Data Validate │ │ • Data Valid │ │
│ └─────────────────┘ └─────────────────┘ └──────────────┘ │
└─────────────────────────────────────────────────────────────┘
```
### Design Patterns
- **Factory Pattern**: Standardized component creation across exchanges
- **Observer Pattern**: Event-driven data processing and callbacks
- **Strategy Pattern**: Pluggable data processing strategies
- **Singleton Pattern**: Centralized logging and configuration management
## 🚀 Quick Start
### Using Components
```python
# Data Collector usage
from data.exchanges import create_okx_collector
from data.base_collector import DataType
collector = create_okx_collector(
symbol='BTC-USDT',
data_types=[DataType.TRADE, DataType.ORDERBOOK]
)
# Logging usage
from utils.logger import get_logger
logger = get_logger("my_component")
logger.info("Component initialized")
```
### Component Integration
```python
# Integrating multiple components
from data.collector_manager import CollectorManager
from utils.logger import get_logger
manager = CollectorManager("production_system")
logger = get_logger("system_manager")
# Components work together seamlessly
await manager.start()
logger.info("System started successfully")
```
## 📊 Performance & Monitoring
### Health Monitoring
All components include built-in health monitoring:
- **Real-time Status**: Component state and performance metrics
- **Auto-Recovery**: Automatic restart on failures
- **Performance Tracking**: Message rates, uptime, error rates
- **Alerting**: Configurable alerts for component health
### Logging Integration
Unified logging across all components:
- **Structured Logging**: JSON-formatted logs for analysis
- **Multiple Levels**: Debug, Info, Warning, Error levels
- **Automatic Cleanup**: Log rotation and old file cleanup
- **Performance Metrics**: Built-in performance tracking
## 🔗 Related Documentation
- **[Exchange Documentation](../exchanges/)** - Exchange-specific implementations
- **[Architecture Overview](../architecture/)** - System design and patterns
- **[Setup Guide](../guides/setup.md)** - Component configuration and deployment
- **[API Reference](../reference/)** - Technical specifications
## 📈 Future Components
Planned component additions:
- **Strategy Engine**: Trading strategy execution framework
- **Portfolio Manager**: Position and risk management
- **Dashboard UI**: Web-based monitoring and control interface
- **Alert Manager**: Advanced alerting and notification system
- **Data Analytics**: Historical data analysis and reporting
---
*For the complete documentation index, see the [main documentation README](../README.md).*

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# Exchange Documentation
This section contains detailed documentation for all cryptocurrency exchange integrations in the TCP Dashboard platform.
## 📋 Contents
### Supported Exchanges
#### Production Ready
- **[OKX Collector](okx_collector.md)** - *Complete guide to OKX exchange integration*
- Real-time trades, orderbook, and ticker data collection
- WebSocket connection management with OKX-specific ping/pong
- Factory pattern usage and configuration
- Data processing and validation
- Monitoring and troubleshooting
- Production deployment guide
#### Planned Integrations
- **Binance** - Major global exchange (development planned)
- **Coinbase Pro** - US-regulated exchange (development planned)
- **Kraken** - European exchange (development planned)
- **Bybit** - Derivatives exchange (development planned)
## 🏗️ Exchange Architecture
### Modular Design
Each exchange implementation follows a standardized structure:
```
data/exchanges/
├── __init__.py # Main exports and factory
├── registry.py # Exchange registry and capabilities
├── factory.py # Factory pattern for collectors
└── {exchange}/ # Exchange-specific implementation
├── __init__.py # Exchange exports
├── collector.py # {Exchange}Collector class
└── websocket.py # {Exchange}WebSocketClient class
```
### Standardized Interface
All exchange collectors implement the same interface:
```python
from data.exchanges import ExchangeFactory, ExchangeCollectorConfig
from data.base_collector import DataType
# Unified configuration across all exchanges
config = ExchangeCollectorConfig(
exchange='okx', # or 'binance', 'coinbase', etc.
symbol='BTC-USDT',
data_types=[DataType.TRADE, DataType.ORDERBOOK],
auto_restart=True
)
collector = ExchangeFactory.create_collector(config)
```
## 🚀 Quick Start
### Using Factory Pattern
```python
import asyncio
from data.exchanges import get_supported_exchanges, create_okx_collector
from data.base_collector import DataType
async def main():
# Check supported exchanges
exchanges = get_supported_exchanges()
print(f"Supported: {exchanges}") # ['okx']
# Create OKX collector
collector = create_okx_collector(
symbol='BTC-USDT',
data_types=[DataType.TRADE, DataType.ORDERBOOK]
)
# Add data callback
def on_trade(data_point):
print(f"Trade: {data_point.data}")
collector.add_data_callback(DataType.TRADE, on_trade)
# Start collection
await collector.start()
await asyncio.sleep(60)
await collector.stop()
asyncio.run(main())
```
### Multi-Exchange Setup
```python
from data.exchanges import ExchangeFactory, ExchangeCollectorConfig
from data.collector_manager import CollectorManager
async def setup_multi_exchange():
manager = CollectorManager("multi_exchange_system")
# Future: Multiple exchanges
configs = [
ExchangeCollectorConfig('okx', 'BTC-USDT', [DataType.TRADE]),
# ExchangeCollectorConfig('binance', 'BTC-USDT', [DataType.TRADE]),
# ExchangeCollectorConfig('coinbase', 'BTC-USD', [DataType.TRADE])
]
for config in configs:
collector = ExchangeFactory.create_collector(config)
manager.add_collector(collector)
await manager.start()
return manager
```
## 📊 Exchange Capabilities
### Data Types
Different exchanges support different data types:
| Exchange | Trades | Orderbook | Ticker | Candles | Balance |
|----------|--------|-----------|--------|---------|---------|
| OKX | ✅ | ✅ | ✅ | 🔄 | 🔄 |
| Binance | 🔄 | 🔄 | 🔄 | 🔄 | 🔄 |
| Coinbase | 🔄 | 🔄 | 🔄 | 🔄 | 🔄 |
Legend: ✅ Implemented, 🔄 Planned, ❌ Not supported
### Trading Pairs
Query supported trading pairs for each exchange:
```python
from data.exchanges import ExchangeFactory
# Get supported pairs
okx_pairs = ExchangeFactory.get_supported_pairs('okx')
print(f"OKX pairs: {okx_pairs}")
# Get exchange information
okx_info = ExchangeFactory.get_exchange_info('okx')
print(f"OKX capabilities: {okx_info}")
```
## 🔧 Exchange Configuration
### Common Configuration
All exchanges share common configuration options:
```python
from data.exchanges import ExchangeCollectorConfig
config = ExchangeCollectorConfig(
exchange='okx', # Exchange name
symbol='BTC-USDT', # Trading pair
data_types=[DataType.TRADE], # Data types to collect
auto_restart=True, # Auto-restart on failures
health_check_interval=30.0, # Health check interval
store_raw_data=True, # Store raw exchange data
custom_params={ # Exchange-specific parameters
'ping_interval': 25.0,
'max_reconnect_attempts': 5
}
)
```
### Exchange-Specific Configuration
Each exchange has specific configuration files:
- **OKX**: `config/okx_config.json`
- **Binance**: `config/binance_config.json` (planned)
- **Coinbase**: `config/coinbase_config.json` (planned)
## 📈 Performance Comparison
### Real-time Data Rates
Approximate message rates for different exchanges:
| Exchange | Trades/sec | Orderbook Updates/sec | Latency |
|----------|------------|----------------------|---------|
| OKX | 5-50 | 10-100 | ~50ms |
| Binance | TBD | TBD | TBD |
| Coinbase | TBD | TBD | TBD |
*Note: Rates vary by trading pair activity*
### Resource Usage
Memory and CPU usage per collector:
| Exchange | Memory (MB) | CPU (%) | Network (KB/s) |
|----------|-------------|---------|----------------|
| OKX | 15-25 | 1-3 | 5-20 |
| Binance | TBD | TBD | TBD |
| Coinbase | TBD | TBD | TBD |
## 🔍 Monitoring & Debugging
### Exchange Status
Monitor exchange-specific metrics:
```python
# Get exchange status
status = collector.get_status()
print(f"Exchange: {status['exchange']}")
print(f"WebSocket State: {status['websocket_state']}")
print(f"Messages Processed: {status['messages_processed']}")
# Exchange-specific metrics
if 'websocket_stats' in status:
ws_stats = status['websocket_stats']
print(f"Reconnections: {ws_stats['reconnections']}")
print(f"Ping/Pong: {ws_stats['pings_sent']}/{ws_stats['pongs_received']}")
```
### Debug Mode
Enable exchange-specific debugging:
```python
import os
os.environ['LOG_LEVEL'] = 'DEBUG'
# Detailed exchange logging
collector = create_okx_collector('BTC-USDT', [DataType.TRADE])
# Check logs: ./logs/okx_collector_btc_usdt_debug.log
```
## 🛠️ Adding New Exchanges
### Implementation Checklist
To add a new exchange:
1. **Create Exchange Folder**: `data/exchanges/{exchange}/`
2. **Implement WebSocket Client**: `{exchange}/websocket.py`
3. **Implement Collector**: `{exchange}/collector.py`
4. **Add to Registry**: Update `registry.py`
5. **Create Configuration**: `config/{exchange}_config.json`
6. **Add Documentation**: `docs/exchanges/{exchange}_collector.md`
7. **Add Tests**: `tests/test_{exchange}_collector.py`
### Implementation Template
```python
# data/exchanges/newexchange/collector.py
from data.base_collector import BaseDataCollector, DataType
from .websocket import NewExchangeWebSocketClient
class NewExchangeCollector(BaseDataCollector):
def __init__(self, symbol: str, **kwargs):
super().__init__("newexchange", [symbol], **kwargs)
self.ws_client = NewExchangeWebSocketClient()
async def connect(self) -> bool:
return await self.ws_client.connect()
# Implement other required methods...
```
## 🔗 Related Documentation
- **[Components Documentation](../components/)** - Core system components
- **[Architecture Overview](../architecture/)** - System design
- **[Setup Guide](../guides/setup.md)** - Configuration and deployment
- **[API Reference](../reference/)** - Technical specifications
## 📞 Support
### Exchange-Specific Issues
For exchange-specific problems:
1. **Check Status**: Use `get_status()` and `get_health_status()`
2. **Review Logs**: Check exchange-specific log files
3. **Verify Configuration**: Confirm exchange configuration files
4. **Test Connection**: Run exchange-specific test scripts
### Common Issues
- **Rate Limiting**: Each exchange has different rate limits
- **Symbol Formats**: Trading pair naming conventions vary
- **WebSocket Protocols**: Each exchange has unique WebSocket requirements
- **Data Formats**: Message structures differ between exchanges
---
*For the complete documentation index, see the [main documentation README](../README.md).*

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# Guides Documentation
This section contains user guides, tutorials, and setup instructions for the TCP Dashboard platform.
## 📋 Contents
### Setup & Installation
- **[Setup Guide](setup.md)** - *Comprehensive setup instructions for new machines and environments*
- Environment configuration and prerequisites
- Database setup with Docker and PostgreSQL
- Development workflow and best practices
- Production deployment guidelines
- Troubleshooting common setup issues
### Quick Start Guides
#### For Developers
```bash
# Quick setup for development
git clone <repository>
cd TCPDashboard
uv sync
cp .env.example .env
docker-compose up -d
uv run python scripts/init_database.py
```
#### For Users
```python
# Quick data collection setup
from data.exchanges import create_okx_collector
from data.base_collector import DataType
collector = create_okx_collector(
symbol='BTC-USDT',
data_types=[DataType.TRADE]
)
await collector.start()
```
## 🚀 Tutorial Series
### Getting Started
1. **[Environment Setup](setup.md#environment-setup)** - Setting up your development environment
2. **[First Data Collector](setup.md#first-collector)** - Creating your first data collector
3. **[Database Integration](setup.md#database-setup)** - Connecting to the database
4. **[Adding Monitoring](setup.md#monitoring)** - Setting up logging and monitoring
### Advanced Topics
1. **[Multi-Exchange Setup](setup.md#multi-exchange)** - Collecting from multiple exchanges
2. **[Production Deployment](setup.md#production)** - Deploying to production
3. **[Performance Optimization](setup.md#optimization)** - Optimizing for high throughput
4. **[Custom Integrations](setup.md#custom)** - Building custom data sources
## 🛠️ Development Workflow
### Daily Development
```bash
# Start development environment
docker-compose up -d
# Install new dependencies
uv add package-name
# Run tests
uv run pytest
# Check code quality
uv run black .
uv run isort .
```
### Code Organization
- **`data/`**: Data collection and processing
- **`database/`**: Database models and utilities
- **`utils/`**: Shared utilities and logging
- **`tests/`**: Test suite
- **`docs/`**: Documentation
- **`config/`**: Configuration files
### Best Practices
1. **Follow existing patterns**: Use established code patterns
2. **Write tests first**: TDD approach for new features
3. **Document changes**: Update docs with code changes
4. **Use type hints**: Full type annotation coverage
5. **Handle errors**: Robust error handling throughout
## 🔧 Configuration Management
### Environment Variables
Key environment variables to configure:
```bash
# Database
DATABASE_URL=postgresql://user:pass@localhost:5432/tcp_dashboard
# Logging
LOG_LEVEL=INFO
LOG_CLEANUP=true
# Data Collection
DEFAULT_HEALTH_CHECK_INTERVAL=30
AUTO_RESTART=true
```
### Configuration Files
The platform uses JSON configuration files:
- **`config/okx_config.json`**: OKX exchange settings
- **`config/database_config.json`**: Database configuration
- **`config/logging_config.json`**: Logging settings
### Security Best Practices
- **Never commit secrets**: Use `.env` files for sensitive data
- **Validate inputs**: Comprehensive input validation
- **Use HTTPS**: Secure connections in production
- **Regular updates**: Keep dependencies updated
## 📊 Monitoring & Observability
### Health Monitoring
The platform includes comprehensive health monitoring:
```python
# Check system health
from data.collector_manager import CollectorManager
manager = CollectorManager()
status = manager.get_status()
print(f"Running collectors: {status['statistics']['running_collectors']}")
print(f"Failed collectors: {status['statistics']['failed_collectors']}")
```
### Logging
Structured logging across all components:
```python
from utils.logger import get_logger
logger = get_logger("my_component")
logger.info("Component started", extra={"component": "my_component"})
```
### Performance Metrics
Built-in performance tracking:
- **Message rates**: Real-time data processing rates
- **Error rates**: System health and stability
- **Resource usage**: Memory and CPU utilization
- **Uptime**: Component availability metrics
## 🧪 Testing
### Running Tests
```bash
# Run all tests
uv run pytest
# Run specific test files
uv run pytest tests/test_base_collector.py
# Run with coverage
uv run pytest --cov=data --cov-report=html
# Run integration tests
uv run pytest tests/integration/
```
### Test Organization
- **Unit tests**: Individual component testing
- **Integration tests**: Cross-component functionality
- **Performance tests**: Load and stress testing
- **End-to-end tests**: Full system workflows
### Writing Tests
Follow these patterns when writing tests:
```python
import pytest
import asyncio
from data.exchanges import create_okx_collector
@pytest.mark.asyncio
async def test_okx_collector():
collector = create_okx_collector('BTC-USDT')
assert collector is not None
# Test lifecycle
await collector.start()
status = collector.get_status()
assert status['status'] == 'running'
await collector.stop()
```
## 🚀 Deployment
### Development Deployment
For local development:
```bash
# Start services
docker-compose up -d
# Initialize database
uv run python scripts/init_database.py
# Start data collection
uv run python scripts/start_collectors.py
```
### Production Deployment
For production environments:
```bash
# Use production docker-compose
docker-compose -f docker-compose.prod.yml up -d
# Set production environment
export ENV=production
export LOG_LEVEL=INFO
# Start with monitoring
uv run python scripts/production_start.py
```
### Docker Deployment
Using Docker containers:
```dockerfile
FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
CMD ["python", "-m", "scripts.production_start"]
```
## 🔗 Related Documentation
- **[Components Documentation](../components/)** - Technical component details
- **[Architecture Overview](../architecture/)** - System design
- **[Exchange Documentation](../exchanges/)** - Exchange integrations
- **[API Reference](../reference/)** - Technical specifications
## 📞 Support & Troubleshooting
### Common Issues
1. **Database Connection Errors**
- Check Docker services: `docker-compose ps`
- Verify environment variables in `.env`
- Test connection: `uv run python scripts/test_db_connection.py`
2. **Collector Failures**
- Check logs: `tail -f logs/collector_error.log`
- Verify configuration: Review `config/*.json` files
- Test manually: `uv run python scripts/test_okx_collector.py`
3. **Performance Issues**
- Monitor resource usage: `docker stats`
- Check message rates: Collector status endpoints
- Optimize configuration: Adjust health check intervals
### Getting Help
1. **Check Documentation**: Review relevant section documentation
2. **Review Logs**: System logs in `./logs/` directory
3. **Test Components**: Use built-in test scripts
4. **Check Status**: Use status and health check methods
### Debug Mode
Enable detailed debugging:
```bash
export LOG_LEVEL=DEBUG
uv run python your_script.py
# Check detailed logs
tail -f logs/*_debug.log
```
---
*For the complete documentation index, see the [main documentation README](../README.md).*

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# Reference Documentation
This section contains technical specifications, API references, and detailed documentation for the TCP Dashboard platform.
## 📋 Contents
### Technical Specifications
- **[Project Specification](specification.md)** - *Technical specifications and requirements*
- System requirements and constraints
- Database schema specifications
- API endpoint definitions
- Data format specifications
- Integration requirements
### API References
#### Data Collection APIs
```python
# BaseDataCollector API
class BaseDataCollector:
async def start() -> bool
async def stop(force: bool = False) -> None
async def restart() -> bool
def get_status() -> Dict[str, Any]
def get_health_status() -> Dict[str, Any]
def add_data_callback(data_type: DataType, callback: Callable) -> None
# CollectorManager API
class CollectorManager:
def add_collector(collector: BaseDataCollector) -> None
async def start() -> bool
async def stop() -> None
def get_status() -> Dict[str, Any]
def list_collectors() -> List[str]
```
#### Exchange Factory APIs
```python
# Factory Pattern API
class ExchangeFactory:
@staticmethod
def create_collector(config: ExchangeCollectorConfig) -> BaseDataCollector
@staticmethod
def create_multiple_collectors(configs: List[ExchangeCollectorConfig]) -> List[BaseDataCollector]
@staticmethod
def get_supported_exchanges() -> List[str]
@staticmethod
def validate_config(config: ExchangeCollectorConfig) -> bool
# Configuration API
@dataclass
class ExchangeCollectorConfig:
exchange: str
symbol: str
data_types: List[DataType]
auto_restart: bool = True
health_check_interval: float = 30.0
store_raw_data: bool = True
custom_params: Optional[Dict[str, Any]] = None
```
## 📊 Data Schemas
### Market Data Point
The standardized data structure for all market data:
```python
@dataclass
class MarketDataPoint:
exchange: str # Exchange name (e.g., 'okx', 'binance')
symbol: str # Trading symbol (e.g., 'BTC-USDT')
timestamp: datetime # Data timestamp (UTC)
data_type: DataType # Type of data (TRADE, ORDERBOOK, etc.)
data: Dict[str, Any] # Raw data payload
```
### Data Types
```python
class DataType(Enum):
TICKER = "ticker" # Price and volume updates
TRADE = "trade" # Individual trade executions
ORDERBOOK = "orderbook" # Order book snapshots
CANDLE = "candle" # OHLCV candle data
BALANCE = "balance" # Account balance updates
```
### Status Schemas
#### Collector Status
```python
{
'exchange': str, # Exchange name
'status': str, # Current status (running, stopped, error)
'should_be_running': bool, # Desired state
'symbols': List[str], # Configured symbols
'data_types': List[str], # Data types being collected
'auto_restart': bool, # Auto-restart enabled
'health': {
'time_since_heartbeat': float, # Seconds since last heartbeat
'time_since_data': float, # Seconds since last data
'max_silence_duration': float # Max allowed silence
},
'statistics': {
'messages_received': int, # Total messages received
'messages_processed': int, # Successfully processed
'errors': int, # Error count
'restarts': int, # Restart count
'uptime_seconds': float, # Current uptime
'reconnect_attempts': int, # Current reconnect attempts
'last_message_time': str, # ISO timestamp
'connection_uptime': str, # Connection start time
'last_error': str, # Last error message
'last_restart_time': str # Last restart time
}
}
```
#### Health Status
```python
{
'is_healthy': bool, # Overall health status
'issues': List[str], # List of current issues
'status': str, # Current collector status
'last_heartbeat': str, # Last heartbeat timestamp
'last_data_received': str, # Last data timestamp
'should_be_running': bool, # Expected state
'is_running': bool # Actual running state
}
```
## 🔧 Configuration Schemas
### Database Configuration
```json
{
"database": {
"url": "postgresql://user:pass@host:port/db",
"pool_size": 10,
"max_overflow": 20,
"pool_timeout": 30,
"pool_recycle": 3600
},
"tables": {
"market_data": "market_data",
"raw_trades": "raw_trades",
"collector_status": "collector_status"
}
}
```
### Exchange Configuration
```json
{
"exchange": "okx",
"connection": {
"public_ws_url": "wss://ws.okx.com:8443/ws/v5/public",
"ping_interval": 25.0,
"pong_timeout": 10.0,
"max_reconnect_attempts": 5,
"reconnect_delay": 5.0
},
"data_collection": {
"store_raw_data": true,
"health_check_interval": 30.0,
"auto_restart": true,
"buffer_size": 1000
},
"trading_pairs": [
{
"symbol": "BTC-USDT",
"enabled": true,
"data_types": ["trade", "orderbook"],
"channels": {
"trades": "trades",
"orderbook": "books5",
"ticker": "tickers"
}
}
]
}
```
### Logging Configuration
```json
{
"logging": {
"level": "INFO",
"format": "detailed",
"console_output": true,
"file_output": true,
"cleanup": true,
"max_files": 30,
"log_directory": "./logs"
},
"components": {
"data_collectors": {
"level": "INFO",
"verbose": false
},
"websocket_clients": {
"level": "DEBUG",
"verbose": true
}
}
}
```
## 🌐 Protocol Specifications
### WebSocket Message Formats
#### OKX Message Format
```json
{
"arg": {
"channel": "trades",
"instId": "BTC-USDT"
},
"data": [
{
"instId": "BTC-USDT",
"tradeId": "12345678",
"px": "50000.5",
"sz": "0.001",
"side": "buy",
"ts": "1697123456789"
}
]
}
```
#### Subscription Message Format
```json
{
"op": "subscribe",
"args": [
{
"channel": "trades",
"instId": "BTC-USDT"
},
{
"channel": "books5",
"instId": "BTC-USDT"
}
]
}
```
### Database Schemas
#### Market Data Table
```sql
CREATE TABLE market_data (
id SERIAL PRIMARY KEY,
exchange VARCHAR(50) NOT NULL,
symbol VARCHAR(50) NOT NULL,
data_type VARCHAR(20) NOT NULL,
timestamp TIMESTAMP WITH TIME ZONE NOT NULL,
data JSONB NOT NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
INDEX(exchange, symbol, timestamp),
INDEX(data_type, timestamp)
);
```
#### Raw Trades Table
```sql
CREATE TABLE raw_trades (
id SERIAL PRIMARY KEY,
exchange VARCHAR(50) NOT NULL,
symbol VARCHAR(50) NOT NULL,
trade_id VARCHAR(100),
price DECIMAL(20, 8) NOT NULL,
size DECIMAL(20, 8) NOT NULL,
side VARCHAR(10) NOT NULL,
timestamp TIMESTAMP WITH TIME ZONE NOT NULL,
raw_data JSONB,
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
UNIQUE(exchange, symbol, trade_id),
INDEX(exchange, symbol, timestamp),
INDEX(timestamp)
);
```
## 📈 Performance Specifications
### System Requirements
#### Minimum Requirements
- **CPU**: 2 cores, 2.0 GHz
- **Memory**: 4 GB RAM
- **Storage**: 20 GB available space
- **Network**: Stable internet connection (100 Mbps+)
#### Recommended Requirements
- **CPU**: 4+ cores, 3.0+ GHz
- **Memory**: 8+ GB RAM
- **Storage**: 100+ GB SSD
- **Network**: High-speed internet (1 Gbps+)
### Performance Targets
#### Data Collection
- **Latency**: < 100ms from exchange to processing
- **Throughput**: 1000+ messages/second per collector
- **Uptime**: 99.9% availability
- **Memory Usage**: < 50 MB per collector
#### Database Operations
- **Insert Rate**: 10,000+ inserts/second
- **Query Response**: < 100ms for typical queries
- **Storage Growth**: ~1 GB/month per active trading pair
- **Retention**: 2+ years of historical data
## 🔒 Security Specifications
### Authentication & Authorization
- **API Keys**: Secure storage in environment variables
- **Database Access**: Connection pooling with authentication
- **WebSocket Connections**: TLS encryption for all connections
- **Logging**: No sensitive data in logs
### Data Protection
- **Encryption**: TLS 1.3 for all external communications
- **Data Validation**: Comprehensive input validation
- **Error Handling**: Secure error messages without data leakage
- **Backup**: Regular automated backups with encryption
## 🔗 Related Documentation
- **[Components Documentation](../components/)** - Implementation details
- **[Architecture Overview](../architecture/)** - System design
- **[Exchange Documentation](../exchanges/)** - Exchange integrations
- **[Setup Guide](../guides/)** - Configuration and deployment
## 📞 Support
### API Support
For API-related questions:
1. **Check Examples**: Review code examples in each API section
2. **Test Endpoints**: Use provided test scripts
3. **Validate Schemas**: Ensure data matches specified formats
4. **Review Logs**: Check detailed logs for API interactions
### Schema Validation
For data schema issues:
```python
# Validate data point structure
def validate_market_data_point(data_point):
required_fields = ['exchange', 'symbol', 'timestamp', 'data_type', 'data']
for field in required_fields:
if not hasattr(data_point, field):
raise ValueError(f"Missing required field: {field}")
if not isinstance(data_point.data_type, DataType):
raise ValueError("Invalid data_type")
```
---
*For the complete documentation index, see the [main documentation README](../README.md).*