使用 python 在 Azure 事件中心收集 Websocket 流数据

Question

I am trying to collect bitcoin live streaming data to Azure event hub. Below is the code how we can do in on local machine.

How can I use this code to collect the streaming in Azure Event Hub. All examples and documents provided by Microsoft are unclear.

import logging
import websocket, json

cc = "btcusd"
interval = '1m'
socket = f'wss://stream.binance.com:9443/ws/{cc}t@kline_{interval}'

def on_message(ws, message):
    json_message = json.loads(message)
    candle = json_message['k']
    is_candle_close = candle['x']
    close = candle['c']
    high = candle['h']
    low = candle['l']
    open = candle['o']
    quote = {
        'close': close,
        'high': high,
        'low': low,
        'open': open
    }
    print(f'{cc} {is_candle_close} {quote}')

def on_error(ws, error):
    logging.error(error)

def on_close(ws):
    logging.info("### closed ###")
    
logging.info("Start")
logging.info("Connecting to websocket")
websocket.enableTrace(True)
ws = websocket.WebSocketApp(socket,
                            on_message = on_message,
                            on_error = on_error,
                            on_close = on_close)
ws.run_forever()

Answer 1

You have 2 tasks at hand here:

• Sending the stream of data to Event Hub. I would get started on that first, and use the Event Hub Python SDK in your local app.
• Hosting your app in Azure. Once you're done on the Event Hub side, you can deploy your app in Azure Functions. See the Python dev guide for that (note that you can develop on Windows locally but will need to deploy to a Linux runtime, but that shouldn't be a problem). See here to get started from scratch.

Functions is not the only option, but potentially here the simplest. See that list for the alternatives.