試圖了解如何在 Python 中使用多線程 websocket，但似乎卡在一個線程上

Question

我有這個基本的交換監控腳本。 我試圖為每個符號創建一個線程，除了處理其他工作的主線程，並讓他們監聽公共 Gemini websocket 端點。 我正在運行第一個線程並將交換數據打印到控制台，但不是第二個。 我曾期望看到來自兩個線程的數據幾乎同時打印。 我嘗試使用線程庫而不是 asyncio 並遇到了同樣的情況。

我意識到我的兩個公共 API MarketWebsocket 類可以組合起來更干凈，我仍在嘗試找到一種方法來輕松地將其他符號添加到列表中。 感謝您在正確方向上的任何推動！

import asyncio
from websockets import connect

symbols_to_watch = [
    "BTCUSD",
    "ETHUSD"
]

class BTCMarketWebsocket:
    disable = False

    async def __aenter__(self):
        symbol = symbols_to_watch[0]
        self._conn = connect("wss://api.gemini.com/v1/marketdata/{}".format(symbol))
        self.websocket = await self._conn.__aenter__()
        return self

    async def __aexit__(self, *args, **kwargs):
        await self._conn.__aexit__(*args, **kwargs)

    async def receive(self):
        return await self.websocket.recv()

class ETHMarketWebsocket:
    disable = False

    async def __aenter__(self):
        symbol = symbols_to_watch[1]
        self._conn = connect("wss://api.gemini.com/v1/marketdata/{}".format(symbol))
        self.websocket = await self._conn.__aenter__()
        return self

    async def __aexit__(self, *args, **kwargs):
        await self._conn.__aexit__(*args, **kwargs)

    async def receive(self):
        return await self.websocket.recv()

async def btcMarketWebsocket():
    async with BTCMarketWebsocket() as btcMarketWebsocket:
        while not btcMarketWebsocket.disable:
            print(await btcMarketWebsocket.receive())

async def ethMarketWebsocket():
    async with ETHMarketWebsocket() as ethMarketWebsocket:
        while not ethMarketWebsocket.disable:
            print(await ethMarketWebsocket.receive())

if __name__ == '__main__':
    asyncio.run(btcMarketWebsocket())
    asyncio.run(ethMarketWebsocket())

Answer 1

你可以做

async def multiple_tasks():
  Tasks =[] 
  Tasks.append(btcMarketWebsocket())
  Tasks.append(ethMarketWebsocket())
  await asyncio.gather(*Tasks, return_exceptions=True)
  

if __name__ == '__main__':
 asyncio.get_event_loop().run_until_complete(multiple_tasks())