我目前正在玩aiohttp,看看它如何作为带有websocket连接的移动应用的服务器应用程序。
这是简单的" Hello world"示例(as gist here):
import asyncio
import aiohttp
from aiohttp import web
class WebsocketEchoHandler:
@asyncio.coroutine
def __call__(self, request):
ws = web.WebSocketResponse()
ws.start(request)
print('Connection opened')
try:
while True:
msg = yield from ws.receive()
ws.send_str(msg.data + '/answer')
except:
pass
finally:
print('Connection closed')
return ws
if __name__ == "__main__":
app = aiohttp.web.Application()
app.router.add_route('GET', '/ws', WebsocketEchoHandler())
loop = asyncio.get_event_loop()
handler = app.make_handler()
f = loop.create_server(
handler,
'127.0.0.1',
8080,
)
srv = loop.run_until_complete(f)
print("Server started at {sock[0]}:{sock[1]}".format(
sock=srv.sockets[0].getsockname()
))
try:
loop.run_forever()
except KeyboardInterrupt:
pass
finally:
loop.run_until_complete(handler.finish_connections(1.0))
srv.close()
loop.run_until_complete(srv.wait_closed())
loop.run_until_complete(app.finish())
loop.close()
现在我想使用下面描述的结构(node server = python aiohttp)。更具体地说,使用Redis Pub/Sub机制和asyncio-redis来读取和写入websocket连接和我的 WebsocketEchoHandler 中的Redis。
WebsocketEchoHandler 是一个简单的循环,所以我不确定应该怎么做。使用Tornado和brükva我只会使用回调。
由于我已经使用Redis,我应采取以下哪种方法:
来自http://goldfirestudios.com/blog/136/Horizontally-Scaling-Node.js-and-WebSockets-with-Redis的图片
似乎我需要澄清一下。
Redis Pub / Sub处理程序可能如下所示:
class WebsocketEchoHandler:
@asyncio.coroutine
def __call__(self, request):
ws = web.WebSocketResponse()
ws.start(request)
connection = yield from asyncio_redis.Connection.create(host='127.0.0.1', port=6379)
subscriber = yield from connection.start_subscribe()
yield from subscriber.subscribe(['ch1', 'ch2'])
print('Connection opened')
try:
while True:
msg = yield from subscriber.next_published()
ws.send_str(msg.value + '/answer')
except:
pass
finally:
print('Connection closed')
return ws
此处理程序只订阅Redis频道 ch1 和 ch2 ,并将从这些频道收到的每条消息发送到websocket。
我想要这个处理程序:
class WebsocketEchoHandler:
@asyncio.coroutine
def __call__(self, request):
ws = web.WebSocketResponse()
ws.start(request)
connection = yield from asyncio_redis.Connection.create(host='127.0.0.1', port=6379)
subscriber = yield from connection.start_subscribe()
yield from subscriber.subscribe(['ch1', 'ch2'])
print('Connection opened')
try:
while True:
# If message recived from redis OR from websocket
msg_ws = yield from ws.receive()
msg_redis = yield from subscriber.next_published()
if msg_ws:
# push to redis / do something else
self.on_msg_from_ws(msg_ws)
if msg_redis:
self.on_msg_from_redis(msg_redis)
except:
pass
finally:
print('Connection closed')
return ws
但是下面的代码总是按顺序调用,所以读取来自Redis的websocket块:
msg_ws = yield from ws.receive()
msg_redis = yield from subscriber.next_published()
我想在事件 事件上完成阅读事件是从两个来源之一收到的消息。
答案 0 :(得分:21)
你应该使用两个while
循环 - 一个处理来自websocket的消息,一个处理来自redis的消息。你的主处理程序可以启动两个协程,一个处理每个循环,然后等待两个:
class WebsocketEchoHandler:
@asyncio.coroutine
def __call__(self, request):
ws = web.WebSocketResponse()
ws.start(request)
connection = yield from asyncio_redis.Connection.create(host='127.0.0.1', port=6379)
subscriber = yield from connection.start_subscribe()
yield from subscriber.subscribe(['ch1', 'ch2'])
print('Connection opened')
try:
# Kick off both coroutines in parallel, and then block
# until both are completed.
yield from asyncio.gather(self.handle_ws(ws), self.handle_redis(subscriber))
except Exception as e: # Don't do except: pass
import traceback
traceback.print_exc()
finally:
print('Connection closed')
return ws
@asyncio.coroutine
def handle_ws(self, ws):
while True:
msg_ws = yield from ws.receive()
if msg_ws:
self.on_msg_from_ws(msg_ws)
@asyncio.coroutine
def handle_redis(self, subscriber):
while True:
msg_redis = yield from subscriber.next_published()
if msg_redis:
self.on_msg_from_redis(msg_redis)
通过这种方式,您可以从两个潜在来源中的任何一个进行阅读,而无需关心另一个。
答案 1 :(得分:1)
最近我们可以在python 3.5及更高版本中使用async await ..
async def task1(ws):
async for msg in ws:
if msg.type == WSMsgType.TEXT:
data = msg.data
print(data)
if data:
await ws.send_str('pong')
## ch is a redis channel
async def task2(ch):
async for msg in ch1.iter(encoding="utf-8", decoder=json.loads):
print("receving", msg)
user_token = msg['token']
if user_token in r_cons.keys():
_ws = r_cons[user_token]
await _ws.send_json(msg)
coroutines = list()
coroutines.append(task1(ws))
coroutines.append(task2(ch1))
await asyncio.gather(*coroutines)
这就是我的工作。当websockets需要等待来自mutli源的消息时。
这里的要点是使用asyncio.gather一起运行两个corotine @dano提到。