如何解决带有高速公路 python 的 websocket 中继
我正在尝试使用 Autobahn python 构建一个 websocket 服务器，该服务器充当 IBM Watson 文本转语音服务的中间人或中继。我已经设法使用队列从客户端接收流音频并将其转发到 Watson，并且我正在接收作为 JSON 数据的回传假设从 Watson 到我的服务器，但我不确定如何转发该 JSON 数据到客户端。 Watson 转录端回调和 Autobahn 客户端回调似乎是独立存在的，我无法从另一个回调中调用例程，也无法从另一个回调中访问数据。
我需要设置某种共享的短信队列吗？我相信它应该很简单，但我认为问题可能是我对“self”关键字缺乏理解，它似乎隔离了两个例程。也很感激任何关于理解“自我”的资源。
# 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()
看来我需要弥合 MyRecognizeCallback() 和 MyServerProtocol() 之间的差距。还请让我知道这是否是我正在努力完成的一个糟糕的实现。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删除 Watson 并使用我自己的转录算法。
解决方法
根据答案 here，似乎我从 MyServerProtocol().sendMessage(u"this is a message2".encode('utf8')) 调用 main 的努力实际上是在创建 MyServerProtocol 的一个新的且不相关的实例，而不是将消息传递到现有连接中.我能够使用 here 描述的方法将新消息发送到打开的 websocket 连接中。
这是我的最终代码，还需要做一些工作，但相关的定义是broadcast_message。为了使此方法起作用，还需要“订阅”自己到 websocket onConnect 和“取消订阅”onClose：
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()
版权声明：本文内容由互联网用户自发贡献，该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 dio@foxmail.com 举报，一经查实，本站将立刻删除。
