详解python websocket获取实时数据的几种常见链接方式
第一种, 使用create_connection链接，需要pip install websocket-client (此方法不建议使用，链接不稳定，容易断，并且连接很耗时)
import time
from websocket import create_connection
url = 'wss://i.cg.net/wi/ws'
while True: # 一直链接，直到连接上就退出循环
time.sleep(2)
try:
ws = create_connection(url)
print(ws)
break
except Exception as e:
print('连接异常：', e)
continue
while True: # 连接上，退出第一个循环之后，此循环用于一直获取数据
ws.send('{"event":"subscribe", "channel":"btc_usdt.ticker"}')
response = ws.recv()
print(response)
第二种,运行效果很不错，很容易连接，获取数据的速度也挺快
import json
from ws4py.client.threadedclient import WebSocketClient
class CG_Client(WebSocketClient):
def opened(self):
req = '{"event":"subscribe", "channel":"eth_usdt.deep"}'
self.send(req)
def closed(self, code, reason=None):
print("Closed down:", code, reason)
def received_message(self, resp):
resp = json.loads(str(resp))
data = resp['data']
if type(data) is dict:
ask = data['asks'][0]
print('Ask:', ask)
bid = data['bids'][0]
print('Bid:', bid)
if __name__ == '__main__':
ws = None
try:
ws = CG_Client('wss://i.cg.net/wi/ws')
ws.connect()
ws.run_forever()
except KeyboardInterrupt:
ws.close()
第三种，其实和第一种差不多，只不过换种写法而已，运行效果不理想，连接耗时，并且容易断
import websocket
while True:
ws = websocket.WebSocket()
try:
ws.connect("wss://i.cg.net/wi/ws")
print(ws)
break
except Exception as e:
print('异常：', e)
continue
print('OK')
while True:
req = '{"event":"subscribe", "channel":"btc_usdt.deep"}'
ws.send(req)
resp = ws.recv()
print(resp)
第四种，运行效果也可以，run_forever里面有许多参数，需要自己设置
import websocket
def on_message(ws, message): # 服务器有数据更新时，主动推送过来的数据
print(message)
def on_error(ws, error): # 程序报错时，就会触发on_error事件
print(error)
def on_close(ws):
print("Connection closed ……")
def on_open(ws): # 连接到服务器之后就会触发on_open事件，这里用于send数据
req = '{"event":"subscribe", "channel":"btc_usdt.deep"}'
print(req)
ws.send(req)
if __name__ == "__main__":
websocket.enableTrace(True)
ws = websocket.WebSocketApp("wss://i.cg.net/wi/ws",
on_message=on_message,
on_error=on_error,
on_close=on_close)
ws.on_open = on_open
ws.run_forever(ping_timeout=30)
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持【听图阁-专注于Python设计】。