- Extracted `OHLCVData` and validation logic into a new `common/ohlcv_data.py` module, promoting better organization and reusability. - Updated `BaseDataCollector` to utilize the new `validate_ohlcv_data` function for improved data validation, enhancing code clarity and maintainability. - Refactored imports in `data/__init__.py` to reflect the new structure, ensuring consistent access to common data types and exceptions. - Removed redundant data validation logic from `BaseDataCollector`, streamlining its responsibilities. - Added unit tests for `OHLCVData` and validation functions to ensure correctness and reliability. These changes improve the architecture of the data module, aligning with project standards for maintainability and performance.
9.8 KiB
Enhanced Data Collector System
This documentation describes the enhanced data collector system, featuring a modular architecture, centralized management, and robust health monitoring.
Table of Contents
- Overview
- System Architecture
- Core Components
- Exchange Factory
- Health Monitoring
- API Reference
- Troubleshooting
Overview
Key Features
- Modular Exchange Integration: Easily add new exchanges without impacting core logic
- Centralized Management:
CollectorManagerfor system-wide control - Robust Health Monitoring: Automatic restarts and failure detection
- Factory Pattern: Standardized creation of collector instances
- Asynchronous Operations: High-performance data collection
- Comprehensive Logging: Detailed component-level logging
Supported Exchanges
- OKX: Full implementation with WebSocket support
- Binance (Future): Planned support
- Coinbase (Future): Planned support
For exchange-specific documentation, see Exchange Implementations (./exchanges/).
System Architecture
┌─────────────────────────────────────────────────────────────┐
│ TCP Dashboard Platform │
│ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ CollectorManager │ │
│ │ • Centralized start/stop/status control │ │
│ │ │ │
│ │ ┌─────────────────────────────────────────────────┐│ │
│ │ │ Global Health Monitor ││ │
│ │ │ • System-wide health checks ││ │
│ │ │ • Auto-restart coordination ││ │
│ │ │ • Performance analytics ││ │
│ │ └─────────────────────────────────────────────────┘│ │
│ │ │ │ │
│ │ ┌─────────────┐ ┌─────────────┐ ┌────────────────┐ │ │
│ │ │OKX Collector│ │Binance Coll.│ │Custom Collector│ │ │
│ │ │• Health Mon │ │• Health Mon │ │• Health Monitor│ │ │
│ │ │• Auto-restart│ │• Auto-restart│ │• Auto-restart │ │ │
│ │ │• Data Valid │ │• Data Valid │ │• Data Validate │ │ │
│ │ └─────────────┘ └─────────────┘ └────────────────┘ │ │
│ └─────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────┘
Core Components
1. BaseDataCollector
An abstract base class that defines the common interface for all exchange collectors. It now orchestrates specialized components for connection management, state and telemetry, and callback dispatching.
Key Responsibilities:
- Standardized
start,stop,restartmethods. - Orchestrates connection handling via
ConnectionManager. - Delegates state, health, and statistics management to
CollectorStateAndTelemetry. - Utilizes
CallbackDispatcherfor managing and notifying data subscribers. - Defines abstract methods for exchange-specific implementations (e.g.,
_actual_connect,_actual_disconnect,_subscribe_channels,_process_message).
2. CollectorStateAndTelemetry
Manages the operational state, health, and performance statistics of a data collector.
Key Responsibilities:
- Tracks
CollectorStatus(e.g.,RUNNING,STOPPED,ERROR). - Monitors health metrics like heartbeat and data silence.
- Collects and provides operational statistics (e.g., messages processed, errors).
- Provides centralized logging functionality for the collector.
3. ConnectionManager
Handles the WebSocket connection lifecycle and resilience for a data collector.
Key Responsibilities:
- Establishes and terminates WebSocket connections.
- Manages automatic reconnection attempts with exponential backoff.
- Handles connection-related errors and ensures robust connectivity.
- Tracks WebSocket connection state and statistics.
4. CallbackDispatcher
Manages and dispatches real-time data to registered callbacks.
Key Responsibilities:
- Registers and unregisters data callbacks for different
DataTypes. - Notifies all subscribed listeners when new data points are received.
- Ensures efficient and reliable distribution of processed market data.
5. CollectorManager
A singleton class that manages all active data collectors in the system.
Key Responsibilities:
- Centralized
startandstopfor all collectors - System-wide status aggregation
- Global health monitoring
- Coordination of restart policies
6. Exchange-Specific Collectors
Concrete implementations of BaseDataCollector for each exchange (e.g., OKXCollector).
Key Responsibilities:
- Handle exchange-specific WebSocket protocols
- Parse and standardize incoming data
- Implement exchange-specific authentication
- Define subscription messages for different data types
For more details, see OKX Collector Documentation (./exchanges/okx.md).
Exchange Factory
The ExchangeFactory provides a standardized way to create data collectors, decoupling the client code from specific implementations.
Features
- Simplified Creation: Single function to create any supported collector
- Configuration Driven: Uses
ExchangeCollectorConfigfor flexible setup - Validation: Validates configuration before creating a collector
- Extensible: Easily register new exchange collectors
Usage
from data.exchanges import ExchangeFactory, ExchangeCollectorConfig
from data.common import DataType
# Create config for OKX collector
config = ExchangeCollectorConfig(
exchange="okx",
symbol="BTC-USDT",
data_types=[DataType.TRADE, DataType.ORDERBOOK],
auto_restart=True
)
# Create collector using the factory
try:
collector = ExchangeFactory.create_collector(config)
# Use the collector
await collector.start()
except ValueError as e:
print(f"Error creating collector: {e}")
# Create multiple collectors
configs = [...]
collectors = ExchangeFactory.create_multiple_collectors(configs)
Health Monitoring
The system includes a robust, two-level health monitoring system.
1. Collector-Level Monitoring
Each BaseDataCollector instance has its own health monitoring.
Key Metrics:
- Heartbeat: Regular internal signal to confirm the collector is responsive
- Data Silence: Tracks time since last message to detect frozen connections
- Restart Count: Number of automatic restarts
- Connection Status: Tracks WebSocket connection state
2. Manager-Level Monitoring
The CollectorManager provides a global view of system health.
Key Metrics:
- Aggregate Status: Overview of all collectors (running, stopped, failed)
- System Uptime: Total uptime for the collector system
- Failed Collectors: List of collectors that failed to restart
- Resource Usage: (Future) System-level CPU and memory monitoring
Health Status API
# Get status of a single collector
status = collector.get_status()
health = collector.get_health_status()
# Get status of the entire system
system_status = manager.get_status()
For detailed status schemas, refer to the Reference Documentation (../../reference/README.md).
API Reference
BaseDataCollector
async start()async stop()async restart()get_status() -> dictget_health_status() -> dict
CollectorManager
add_collector(collector)async start_all()async stop_all()get_status() -> dictlist_collectors() -> list
ExchangeFactory
create_collector(config) -> BaseDataCollectorcreate_multiple_collectors(configs) -> listget_supported_exchanges() -> list
Troubleshooting
Common Issues
-
Collector fails to start
- Cause: Invalid symbol, incorrect API keys, or network issues.
- Solution: Check logs for error messages. Verify configuration and network connectivity.
-
Collector stops receiving data
- Cause: WebSocket connection dropped, exchange issues.
- Solution: Health monitor should automatically restart. If not, check logs for reconnect errors.
-
"Exchange not supported" error
- Cause: Trying to create a collector for an exchange not registered in the factory.
- Solution: Implement the collector and register it in
data/exchanges/__init__.py.
Best Practices
- Use the
CollectorManagerfor lifecycle management. - Always validate configurations before creating collectors.
- Monitor system status regularly using
manager.get_status(). - Refer to logs for detailed error analysis.
Back to [Modules Documentation (../README.md)]