# 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

### Database Operations

- **[Database Operations](database_operations.md)** - *Repository pattern for clean database interactions*
  - **Repository Pattern** implementation for data access abstraction
  - **MarketDataRepository** for candle/OHLCV operations
  - **RawTradeRepository** for WebSocket data storage
  - Automatic transaction management and session cleanup
  - Configurable duplicate handling with force update options
  - Custom error handling with DatabaseOperationError
  - Database health monitoring and performance statistics
  - Migration guide from direct SQL to repository pattern

### Technical Analysis

- **[Technical Indicators](technical-indicators.md)** - *Comprehensive technical analysis module*
  - **Five Core Indicators**: SMA, EMA, RSI, MACD, and Bollinger Bands
  - **Sparse Data Handling**: Optimized for the platform's aggregation strategy
  - **Vectorized Calculations**: High-performance pandas and numpy implementation
  - **Flexible Configuration**: JSON-based parameter configuration with validation
  - **Integration Ready**: Seamless integration with OHLCV data and real-time processing
  - Batch processing for multiple indicators
  - Support for different price columns (open, high, low, close)
  - Comprehensive unit testing and documentation

### 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

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*For the complete documentation index, see the [main documentation README](../README.md).*