Introduction #

SmartChart supports WebSocket as a data source for real-time data push scenarios. Unlike HTTP polling, WebSocket provides server-push based real-time updates, ideal for live dashboards and monitoring screens.

Use Cases #

• Real-time stock market data display
• IoT device status monitoring
• Live sports/event data updates
• Real-time production line metrics

Usage #

Uses custom data source functions. Create a WebSocket connection that receives pushed data and returns it for visualization.

import websocket
import json

def dataset(*args, **kwargs):
    """
    Returns query dataset from WebSocket
    :return: 2D array or JSON dict
    """
    sqlList = args[0]
    config = args[1]
    
    ws = websocket.WebSocket()
    ws.connect(config['host'])
    
    # Send query if needed
    if sqlList:
        ws.send(sqlList[0])
    
    # Receive data
    result = ws.recv()
    ws.close()
    
    return json.loads(result)

For continuous real-time updates, use the chart’s JavaScript to establish a WebSocket connection and update the chart dynamically.