背景：在PyQt5开发中为防止后台代码运行阻塞窗口，会将耗时较长的代码定义在QThread中，而为了使代码更快的处理数据，会用到asyncio
asyncio的使用场景：在Python中，asyncio 库是用于编写单线程的并发代码的库，它使用异步I/O，这使得在执行I/O操作（如网络请求、文件操作等）时能够释放CPU，从而提高程序的效率和响应性。
asyncio的典型使用场景：网络编程、数据库操作、文件操作、定时任务和周期性任务、并发执行多个任务
下面的例子是网络编程场景
class TcpClientReceiveDataTag(QThread):
Signal_ = pyqtSignal(str)
def __init__(self,host_list,port):
super(TcpClientReceiveDataTag, self).__init__()
self.host_list = host_list
self.port = port
self.loop = asyncio.new_event_loop()
def run(self):
try:
asyncio.set_event_loop(self.loop)
self.loop.run_until_complete(self.main_task())
except Exception as e:
traceback.print_exc()
log_exception()
logger.info("tcp client:"+str(e))
async def tcp_client_receive_data(self,host, port):
try:
reader, writer = await asyncio.open_connection(host, port)
while True:
try:
data = await reader.read(100)
if data:
hex_list = [f"{byte:02X}" for byte in data]
self.Signal_.emit(str(hex_list))
except asyncio.CancelledError:
# 执行清理工作
break
writer.close()
await writer.wait_closed()
except Exception as e:
traceback.print_exc()
async def main_task(self):
# 启动所有连接任务
tasks = [self.tcp_client_receive_data(host, self.port) for host in self.host_list]
# 并发运行所有连接任务
await asyncio.gather(*tasks)
def stop(self):
if self.loop.is_running():
self.loop.call_soon_threadsafe(self.loop.stop)
线程启动：
self.Tcp_Client_Receive_Data_thread = TcpClientReceiveDataTag(["192.168.0.101"],8080)
self.Tcp_Client_Receive_Data_thread.Signal_.connect(self.receive_data_processing)
self.Tcp_Client_Receive_Data_thread.start()
线程停用：
self.Tcp_Client_Receive_Data_thread.stop()
