websocket中继与高速公路python

Question

我正试图使用Autobahn python构建一个websocket服务器，该服务器充当IBM Watson文本到语音服务的中间人或中继。我已经设法通过使用队列从客户端接收流媒体音频并将其转发给Watson，我正在从Watson将JSON数据作为反转录假设接收到我的服务器，但我不知道如何将JSON数据转发给客户端。Watson转录端回调和Autobahn客户端回调似乎是独立存在的，我不能从一个回调调用另一个回调中的例程，也不能从另一个调用中的一个回调访问数据。

我需要设置某种共享短信队列吗？我确信这应该是一件简单的事情，但我认为问题可能是我对"；自我；关键字，似乎将这两个例程隔离开来。还将感谢任何关于理解"；自我"；。

# For Watson
from ibm_watson import SpeechToTextV1
from ibm_watson.websocket import RecognizeCallback, AudioSource
from threading import Thread
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
# For Autobahn
from autobahn.twisted.websocket import WebSocketServerProtocol, 
WebSocketServerFactory
from twisted.internet import reactor
try:
from Queue import Queue, Full
except ImportError:
from queue import Queue, Full
###############################################
#### Initalize queue to store the recordings ##
###############################################
CHUNK = 1024
BUF_MAX_SIZE = CHUNK * 10
# Buffer to store audio
q = Queue(maxsize=int(round(BUF_MAX_SIZE / CHUNK)))
# Create an instance of AudioSource
audio_source = AudioSource(q, True, True)
###############################################
#### Prepare Speech to Text Service ########
###############################################
# initialize speech to text service
authenticator = IAMAuthenticator('secretapikeycanttellyou')
speech_to_text = SpeechToTextV1(authenticator=authenticator)
# define callback for the speech to text service
class MyRecognizeCallback(RecognizeCallback):
def __init__(self):
RecognizeCallback.__init__(self)
def on_transcription(self, transcript):
print(transcript)
def on_connected(self):
print('Connection was successful')
def on_error(self, error):
print('Error received: {}'.format(error))
def on_inactivity_timeout(self, error):
print('Inactivity timeout: {}'.format(error))
def on_listening(self):
print('Service is listening')
def on_hypothesis(self, hypothesis):
print(hypothesis)
#self.sendMessage(hypothesis, isBinary = false)
# HOW TO FORWARD THIS TO CLIENT?
def on_data(self, data):
print(data)
#self.sendMessage(data, isBinary = false)
# HOW TO FORWARD THIS TO CLIENT?
def on_close(self):
print("Connection closed")
# define callback for client-side websocket in Autobahn
class MyServerProtocol(WebSocketServerProtocol):
def onConnect(self, request):
print("Client connecting: {0}".format(request.peer))
def onOpen(self):
print("WebSocket connection open.")
recognize_thread = Thread(target=recognize_using_weboscket, args=())
recognize_thread.daemon = True
recognize_thread.start()
def onMessage(self, payload, isBinary):
if isBinary:
# put audio in queue
q.put(payload)
else:
print("Text message received: {0}".format(payload.decode('utf8')))
# echo back message verbatim
self.sendMessage(payload, isBinary)

def onClose(self, wasClean, code, reason):
print("WebSocket connection closed: {0}".format(reason))

## this function will initiate the recognize service and pass in the AudioSource
def recognize_using_weboscket(*args):
mycallback = MyRecognizeCallback()
speech_to_text.recognize_using_websocket(audio=audio_source,
content_type='audio/l16; rate=16000',
recognize_callback=mycallback,
interim_results=True)
if __name__ == '__main__':
factory = WebSocketServerFactory("ws://127.0.0.1:9001")
factory.protocol = MyServerProtocol
reactor.listenTCP(9001, factory)
reactor.run()

我似乎需要弥合MyRecognizeCallback()和MyServerProtocol()之间的差距。还请告诉我，这是否是我努力实现的目标的一个糟糕的实现。我知道有更简单的方法来中继websocket数据，但我想熟悉websocket API/音频流和文本消息，因为最终我想从等式中去掉Watson，并使用我自己的转录算法。

Answer 1

根据这里的答案，我从main调用MyServerProtocol().sendMessage(u"this is a message2".encode('utf8'))的努力实际上是在创建一个新的、不相关的MyServerProtocol实例，而不是将消息管道传输到现有连接中。我能够使用这里描述的方法将新消息发送到打开的websocket连接中。

这是我的最后一个代码，它仍然需要一些工作，但相关的定义是broadcast_message。我自己也有必要"订阅"网络套接字onConnect和"取消订阅"onClose，这样方法才能工作：

from ibm_watson import SpeechToTextV1
from ibm_watson.websocket import RecognizeCallback, AudioSource
from threading import Thread
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
# For autobahn
import json
from autobahn.twisted.websocket import WebSocketServerProtocol, 
WebSocketServerFactory
from twisted.internet import reactor
try:
from Queue import Queue, Full
except ImportError:
from queue import Queue, Full
###############################################
#### Initalize queue to store the recordings ##
###############################################
CHUNK = 1024
# Note: It will discard if the websocket client can't consumme fast enough
# So, increase the max size as per your choice
BUF_MAX_SIZE = CHUNK * 10
# Buffer to store audio
q = Queue(maxsize=int(round(BUF_MAX_SIZE / CHUNK)))
# Create an instance of AudioSource
audio_source = AudioSource(q, True, True)
###############################################
#### Prepare Speech to Text Service ########
###############################################
# initialize speech to text service
authenticator = IAMAuthenticator('secretapikey')
speech_to_text = SpeechToTextV1(authenticator=authenticator)
# define callback for the speech to text service
class MyRecognizeCallback(RecognizeCallback):
def __init__(self):
RecognizeCallback.__init__(self)
def on_transcription(self, transcript):
# Forward to client
MyServerProtocol.broadcast_message(transcript)
def on_connected(self):
print('Connection was successful')
def on_error(self, error):
# Forward to client
MyServerProtocol.broadcast_message('Error received: {}'.format(error))
def on_inactivity_timeout(self, error):
# Forward to client
MyServerProtocol.broadcast_message('Inactivity timeout: {}'.format(error))
def on_listening(self):
print('Service is listening')
def on_hypothesis(self, hypothesis):
# Forward to client
MyServerProtocol.broadcast_message(hypothesis)
def on_data(self, data):
# Forward to client
MyServerProtocol.broadcast_message(data)
def on_close(self):
print("Connection closed")
MyServerProtocol.broadcast_message("Connection closed")
class MyServerProtocol(WebSocketServerProtocol):
connections = list()
def onConnect(self, request):
print("Client connecting: {0}".format(request.peer))
self.connections.append(self)
# Start recognizer on connection
recognize_thread = Thread(target=recognize_using_weboscket, args=())
recognize_thread.daemon = True
recognize_thread.start()
def onOpen(self):
print("WebSocket connection open.")
def onMessage(self, payload, isBinary):
if isBinary:
# Put incoming audio into the queue
try:
q.put(payload)
except Full:
pass # discard
else:
print("Text message received: {0}".format(payload.decode('utf8')))
@classmethod
def broadcast_message(cls, data):
payload = json.dumps(data, ensure_ascii = False).encode('utf8')
for c in set(cls.connections):
reactor.callFromThread(cls.sendMessage, c, payload)

def onClose(self, wasClean, code, reason):
print("WebSocket connection closed: {0}".format(reason))
self.connections.remove(self)

## this function will initiate the recognize service and pass in the AudioSource
def recognize_using_weboscket(*args):
mycallback = MyRecognizeCallback()
speech_to_text.recognize_using_websocket(audio=audio_source,
content_type='audio/l16; rate=16000',
recognize_callback=mycallback,
interim_results=True)
if __name__ == '__main__':
factory = WebSocketServerFactory("ws://127.0.0.1:9001")
factory.protocol = MyServerProtocol
reactor.listenTCP(9001, factory)
reactor.run()