forked from platypush/platypush
Rewritten snowboy and Google push-to-talk plugins to make them a better replacement for the deprecated google-assistant-library
This commit is contained in:
Fabio Manganiello
parent
30c7f7f955
commit
5766367402
10 changed files with 547 additions and 412 deletions
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@ -28,6 +28,13 @@ class AssistantGoogleBackend(Backend):
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It listens for voice commands and post conversation events on the bus.
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**WARNING**: This backend is deprecated, as the underlying Google Assistant
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library has been deprecated too: https://developers.google.com/assistant/sdk/reference/library/python/
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The old library might still work on some systems but its proper functioning
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is not guaranteed.
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Please use the Snowboy backend for hotword detection and the Google Assistant
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push-to-talk plugin for assistant interaction instead.
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Triggers:
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* :class:`platypush.message.event.assistant.ConversationStartEvent` \
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@ -1,385 +0,0 @@
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"""
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.. moduleauthor:: Fabio Manganiello <blacklight86@gmail.com>
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.. license: MIT
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"""
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import concurrent
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import json
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import logging
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import os
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import grpc
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import google.auth.transport.grpc
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import google.auth.transport.requests
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import google.oauth2.credentials
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from google.assistant.embedded.v1alpha2 import embedded_assistant_pb2, \
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embedded_assistant_pb2_grpc
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import googlesamples.assistant.grpc.audio_helpers as audio_helpers
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import googlesamples.assistant.grpc.device_helpers as device_helpers
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import googlesamples.assistant.grpc.assistant_helpers as assistant_helpers
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from tenacity import retry, stop_after_attempt, retry_if_exception
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from platypush.backend import Backend
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from platypush.message.event.assistant import \
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ConversationStartEvent, ConversationEndEvent, SpeechRecognizedEvent
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class AssistantGooglePushtotalkBackend(Backend):
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"""
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Google Assistant pushtotalk backend. Instead of listening for the "OK
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Google" hotword like the assistant.google backend, this implementation
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programmatically starts a conversation upon start_conversation() method
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call. Use this backend on devices that don't have an Assistant SDK package
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(e.g. arm6 devices like the RaspberryPi Zero or the RaspberryPi 1).
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Triggers:
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* :class:`platypush.message.event.assistant.ConversationStartEvent` \
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when a new conversation starts
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* :class:`platypush.message.event.assistant.SpeechRecognizedEvent` \
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when a new voice command is recognized
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* :class:`platypush.message.event.assistant.ConversationEndEvent` \
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when a new conversation ends
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Requires:
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* **tenacity** (``pip install tenacity``)
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* **grpc** (``pip install grpc``)
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* **google-assistant-grpc** (``pip install google-assistant-grpc``)
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"""
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api_endpoint = 'embeddedassistant.googleapis.com'
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audio_sample_rate = audio_helpers.DEFAULT_AUDIO_SAMPLE_RATE
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audio_sample_width = audio_helpers.DEFAULT_AUDIO_SAMPLE_WIDTH
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audio_iter_size = audio_helpers.DEFAULT_AUDIO_ITER_SIZE
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audio_block_size = audio_helpers.DEFAULT_AUDIO_DEVICE_BLOCK_SIZE
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audio_flush_size = audio_helpers.DEFAULT_AUDIO_DEVICE_FLUSH_SIZE
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grpc_deadline = 60 * 3 + 5
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def __init__(self, *args,
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credentials_file=os.path.join(
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os.path.expanduser('~'), '.config',
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'google-oauthlib-tool', 'credentials.json'),
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device_config=os.path.join(
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os.path.expanduser('~'), '.config', 'googlesamples-assistant',
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'device_config.json'),
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lang='en-US',
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conversation_start_fifo=os.path.join(os.path.sep, 'tmp', 'pushtotalk.fifo'),
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**kwargs):
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"""
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:param credentials_file: Path to the Google OAuth credentials file \
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(default: ~/.config/google-oauthlib-tool/credentials.json). \
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See https://developers.google.com/assistant/sdk/guides/library/python/embed/install-sample#generate_credentials \
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for instructions to get your own credentials file.
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:type credentials_file: str
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:param device_config: Path to device_config.json. Register your device \
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(see https://developers.google.com/assistant/sdk/guides/library/python/embed/register-device) \
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and create a project, then run the pushtotalk.py script from \
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googlesamples to create your device_config.json
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:type device_config: str
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:param lang: Assistant language (default: en-US)
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:type lang: str
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"""
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super().__init__(*args, **kwargs)
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self.lang = lang
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self.credentials_file = credentials_file
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self.device_config = device_config
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self.conversation_start_fifo = conversation_start_fifo
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self.assistant = None
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try:
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os.mkfifo(self.conversation_start_fifo)
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except FileExistsError:
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pass
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with open(self.device_config) as f:
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device = json.load(f)
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self.device_id = device['id']
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self.device_model_id = device['model_id']
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# Load OAuth 2.0 credentials.
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try:
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with open(self.credentials_file, 'r') as f:
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credentials = google.oauth2.credentials.Credentials(token=None,
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**json.load(f))
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http_request = google.auth.transport.requests.Request()
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credentials.refresh(http_request)
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except Exception as ex:
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self.logger.error('Error loading credentials: %s', str(ex))
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self.logger.error('Run google-oauthlib-tool to initialize '
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'new OAuth 2.0 credentials.')
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raise
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# Create an authorized gRPC channel.
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self.grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
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credentials, http_request, self.api_endpoint)
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self.logger.info('Connecting to %s', self.api_endpoint)
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# Configure audio source and sink.
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audio_device = None
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audio_source = audio_device = (
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audio_device or audio_helpers.SoundDeviceStream(
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sample_rate=self.audio_sample_rate,
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sample_width=self.audio_sample_width,
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block_size=self.audio_block_size,
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flush_size=self.audio_flush_size
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)
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)
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audio_sink = audio_device = (
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audio_device or audio_helpers.SoundDeviceStream(
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sample_rate=self.audio_sample_rate,
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sample_width=self.audio_sample_width,
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block_size=self.audio_block_size,
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flush_size=self.audio_flush_size
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)
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)
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# Create conversation stream with the given audio source and sink.
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self.conversation_stream = audio_helpers.ConversationStream(
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source=audio_source,
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sink=audio_sink,
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iter_size=self.audio_iter_size,
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sample_width=self.audio_sample_width,
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)
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self.device_handler = device_helpers.DeviceRequestHandler(self.device_id)
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def start_conversation(self):
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""" Start a conversation """
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if self.assistant:
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with open(self.conversation_start_fifo, 'w') as f:
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f.write('1')
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def stop_conversation(self):
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""" Stop a conversation """
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if self.assistant:
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self.conversation_stream.stop_playback()
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self.bus.post(ConversationEndEvent())
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def on_conversation_start(self):
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""" Conversation start handler """
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self.bus.post(ConversationStartEvent())
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def on_conversation_end(self):
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""" Conversation end handler """
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self.bus.post(ConversationEndEvent())
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def on_speech_recognized(self, speech):
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""" Speech recognized handler """
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self.bus.post(SpeechRecognizedEvent(phrase=speech))
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def run(self):
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""" Backend executor """
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super().run()
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with SampleAssistant(self.lang, self.device_model_id, self.device_id,
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self.conversation_stream,
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self.grpc_channel, self.grpc_deadline,
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self.device_handler,
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on_conversation_start=self.on_conversation_start,
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on_conversation_end=self.on_conversation_end,
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on_speech_recognized=self.on_speech_recognized) as self.assistant:
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while not self.should_stop():
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with open(self.conversation_start_fifo, 'r') as f:
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f.read()
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self.logger.info('Received conversation start event')
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continue_conversation = True
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while continue_conversation:
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(user_request, continue_conversation) = self.assistant.assist()
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self.logger('User request: {}'.format(user_request))
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self.on_conversation_end()
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class SampleAssistant:
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"""Sample Assistant that supports conversations and device actions.
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Args:
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device_model_id: identifier of the device model.
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device_id: identifier of the registered device instance.
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conversation_stream(ConversationStream): audio stream for recording \
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query and playing back assistant answer.
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channel: authorized gRPC channel for connection to the Google Assistant API.
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deadline_sec: gRPC deadline in seconds for Google Assistant API call.
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device_handler: callback for device actions.
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"""
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END_OF_UTTERANCE = embedded_assistant_pb2.AssistResponse.END_OF_UTTERANCE
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DIALOG_FOLLOW_ON = embedded_assistant_pb2.DialogStateOut.DIALOG_FOLLOW_ON
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CLOSE_MICROPHONE = embedded_assistant_pb2.DialogStateOut.CLOSE_MICROPHONE
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def __init__(self, language_code, device_model_id, device_id,
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conversation_stream,
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channel, deadline_sec, device_handler,
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on_conversation_start=None,
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on_conversation_end=None,
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on_speech_recognized=None):
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self.language_code = language_code
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self.device_model_id = device_model_id
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self.device_id = device_id
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self.conversation_stream = conversation_stream
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self.logger = logging.getLogger(__name__)
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self.on_conversation_start = on_conversation_start
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self.on_conversation_end = on_conversation_end
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self.on_speech_recognized = on_speech_recognized
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# Opaque blob provided in AssistResponse that,
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# when provided in a follow-up AssistRequest,
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# gives the Assistant a context marker within the current state
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# of the multi-Assist()-RPC "conversation".
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# This value, along with MicrophoneMode, supports a more natural
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# "conversation" with the Assistant.
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self.conversation_state = None
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# Create Google Assistant API gRPC client.
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self.assistant = embedded_assistant_pb2_grpc.EmbeddedAssistantStub(
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channel
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)
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self.deadline = deadline_sec
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self.device_handler = device_handler
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def __enter__(self):
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return self
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def __exit__(self, etype, e, traceback):
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if e:
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return False
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self.conversation_stream.close()
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return True
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@staticmethod
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def is_grpc_error_unavailable(e):
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""" Returns True if the gRPC is not available """
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is_grpc_error = isinstance(e, grpc.RpcError)
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if is_grpc_error and (e.code() == grpc.StatusCode.UNAVAILABLE):
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print('grpc unavailable error: {}'.format(e))
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return True
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return False
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@retry(reraise=True, stop=stop_after_attempt(3),
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retry=retry_if_exception(is_grpc_error_unavailable))
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def assist(self):
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"""Send a voice request to the Assistant and playback the response.
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Returns: True if conversation should continue.
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"""
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continue_conversation = False
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device_actions_futures = []
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self.conversation_stream.start_recording()
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self.logger.info('Recording audio request.')
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if self.on_conversation_start:
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self.on_conversation_start()
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def iter_assist_requests():
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for c in self.gen_assist_requests():
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assistant_helpers.log_assist_request_without_audio(c)
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yield c
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self.conversation_stream.start_playback()
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user_request = None
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# This generator yields AssistResponse proto messages
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# received from the gRPC Google Assistant API.
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for resp in self.assistant.Assist(iter_assist_requests(),
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self.deadline):
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assistant_helpers.log_assist_response_without_audio(resp)
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if resp.event_type == self.END_OF_UTTERANCE:
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self.logger.info('End of audio request detected')
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self.conversation_stream.stop_recording()
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if resp.speech_results:
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user_request = ' '.join(
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r.transcript for r in resp.speech_results)
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self.logger.info('Transcript of user request: "%s".', user_request)
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self.logger.info('Playing assistant response.')
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if resp.audio_out.audio_data:
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self.conversation_stream.write(resp.audio_out.audio_data)
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if resp.dialog_state_out.conversation_state:
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conversation_state = resp.dialog_state_out.conversation_state
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self.logger.debug('Updating conversation state.')
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self.conversation_state = conversation_state
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if resp.dialog_state_out.volume_percentage != 0:
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volume_percentage = resp.dialog_state_out.volume_percentage
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self.logger.info('Setting volume to %s%%', volume_percentage)
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self.conversation_stream.volume_percentage = volume_percentage
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if resp.dialog_state_out.microphone_mode == self.DIALOG_FOLLOW_ON:
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continue_conversation = True
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self.logger.info('Expecting follow-on query from user.')
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elif resp.dialog_state_out.microphone_mode == self.CLOSE_MICROPHONE:
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continue_conversation = False
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if resp.device_action.device_request_json:
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device_request = json.loads(
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resp.device_action.device_request_json
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)
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fs = self.device_handler(device_request)
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if fs:
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device_actions_futures.extend(fs)
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if device_actions_futures:
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self.logger.info('Waiting for device executions to complete.')
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concurrent.futures.wait(device_actions_futures)
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self.logger.info('Finished playing assistant response.')
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try:
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self.conversation_stream.stop_playback()
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except Exception:
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pass
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if user_request and self.on_speech_recognized:
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self.on_speech_recognized(user_request)
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return (user_request, continue_conversation)
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def gen_assist_requests(self):
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"""Yields: AssistRequest messages to send to the API."""
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dialog_state_in = embedded_assistant_pb2.DialogStateIn(
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language_code=self.language_code,
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conversation_state=b''
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)
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if self.conversation_state:
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self.logger.debug('Sending conversation state.')
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dialog_state_in.conversation_state = self.conversation_state
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config = embedded_assistant_pb2.AssistConfig(
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audio_in_config=embedded_assistant_pb2.AudioInConfig(
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encoding='LINEAR16',
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sample_rate_hertz=self.conversation_stream.sample_rate,
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),
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audio_out_config=embedded_assistant_pb2.AudioOutConfig(
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encoding='LINEAR16',
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sample_rate_hertz=self.conversation_stream.sample_rate,
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volume_percentage=self.conversation_stream.volume_percentage,
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),
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dialog_state_in=dialog_state_in,
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device_config=embedded_assistant_pb2.DeviceConfig(
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device_id=self.device_id,
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device_model_id=self.device_model_id,
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)
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)
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# The first AssistRequest must contain the AssistConfig
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# and no audio data.
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yield embedded_assistant_pb2.AssistRequest(config=config)
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for data in self.conversation_stream:
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# Subsequent requests need audio data, but not config.
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yield embedded_assistant_pb2.AssistRequest(audio_in=data)
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# vim:sw=4:ts=4:et:
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@ -9,10 +9,12 @@ import subprocess
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import time
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from platypush.backend import Backend
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from platypush.context import get_plugin
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from platypush.message.event.assistant import \
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ConversationStartEvent, ConversationEndEvent, \
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SpeechRecognizedEvent, HotwordDetectedEvent
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class AssistantSnowboyBackend(Backend):
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"""
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Backend for detecting custom voice hotwords through Snowboy. The purpose of
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@ -30,10 +32,26 @@ class AssistantSnowboyBackend(Backend):
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Requires:
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* **snowboy** (``pip install snowboy``)
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Manual installation for snowboy and its Python bindings if the command above
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fails:
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$ [sudo] apt-get install libatlas-base-dev swig
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$ [sudo] pip install pyaudio
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$ git clone https://github.com/Kitt-AI/snowboy
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$ cd snowboy/swig/Python3
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$ make
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$ cd ../..
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$ python3 setup.py build
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$ [sudo] python setup.py install
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You will also need a voice model for the hotword detection. You can find
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some under the ``resources/models`` directory of the Snowboy repository,
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or train/download other models from https://snowboy.kitt.ai.
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"""
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def __init__(self, voice_model_file, hotword=None, sensitivity=0.5,
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audio_gain=1.0, **kwargs):
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audio_gain=1.0, assistant_plugin=None, **kwargs):
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"""
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:param voice_model_file: Snowboy voice model file - \
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see https://snowboy.kitt.ai/
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@ -42,20 +60,33 @@ class AssistantSnowboyBackend(Backend):
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:param hotword: Name of the hotword
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:type hotword: str
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:param sensitivity: Hotword recognition sensitivity, between 0 and 1
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:param sensitivity: Hotword recognition sensitivity, between 0 and 1.
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Default: 0.5.
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:type sensitivity: float
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:param audio_gain: Audio gain, between 0 and 1
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:type audio_gain: float
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:param assistant_plugin: By default Snowboy fires a
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||||
:class:`platypush.message.event.assistant.HotwordDetectedEvent` event
|
||||
whenever the hotword is detected. You can also pass the plugin name of
|
||||
a :class:`platypush.plugins.assistant.AssistantPlugin` instance
|
||||
(for example ``assistant.google.pushtotalk``). If set, then the
|
||||
assistant plugin will be invoked to start a conversation.
|
||||
:type assistant_plugin: str
|
||||
"""
|
||||
|
||||
from snowboy import snowboydecoder
|
||||
try:
|
||||
import snowboydecoder
|
||||
except ImportError:
|
||||
import snowboy.snowboydecoder as snowboydecoder
|
||||
|
||||
super().__init__(**kwargs)
|
||||
self.voice_model_file = voice_model_file
|
||||
self.voice_model_file = os.path.abspath(os.path.expanduser(voice_model_file))
|
||||
self.hotword = hotword
|
||||
self.sensitivity = sensitivity
|
||||
self.audio_gain = audio_gain
|
||||
self.assistant_plugin = assistant_plugin
|
||||
|
||||
self.detector = snowboydecoder.HotwordDetector(
|
||||
self.voice_model_file, sensitivity=self.sensitivity,
|
||||
|
|
@ -70,8 +101,18 @@ class AssistantSnowboyBackend(Backend):
|
|||
|
||||
def callback():
|
||||
self.bus.post(HotwordDetectedEvent(hotword=self.hotword))
|
||||
|
||||
if self.assistant_plugin:
|
||||
# Trigger assistant conversation
|
||||
get_plugin(self.assistant_plugin).start_conversation()
|
||||
|
||||
return callback
|
||||
|
||||
def on_stop(self):
|
||||
if self.detector:
|
||||
self.detector.terminate()
|
||||
self.detector = None
|
||||
|
||||
def run(self):
|
||||
super().run()
|
||||
self.detector.start(self.hotword_detected())
|
||||
|
|
|
|||
|
|
@ -27,6 +27,7 @@ const Assistant = Vue.extend({
|
|||
responseText: '',
|
||||
phrase: '',
|
||||
visible: false,
|
||||
hideTimeout: undefined,
|
||||
|
||||
state: {
|
||||
listening: false,
|
||||
|
|
@ -51,11 +52,21 @@ const Assistant = Vue.extend({
|
|||
this.reset();
|
||||
this.state.listening = true;
|
||||
this.visible = true;
|
||||
|
||||
if (this.hideTimeout) {
|
||||
clearTimeout(this.hideTimeout);
|
||||
this.hideTimeout = undefined;
|
||||
}
|
||||
},
|
||||
|
||||
conversationEnd: function() {
|
||||
this.reset();
|
||||
this.visible = false;
|
||||
const self = this;
|
||||
|
||||
this.hideTimeout = setTimeout(() => {
|
||||
this.reset();
|
||||
self.visible = false;
|
||||
self.hideTimeout = undefined;
|
||||
}, 4000);
|
||||
},
|
||||
|
||||
speechRecognized: function(event) {
|
||||
|
|
@ -86,7 +97,6 @@ const Assistant = Vue.extend({
|
|||
|
||||
registerHandlers: function() {
|
||||
registerEventHandler(this.conversationStart, 'platypush.message.event.assistant.ConversationStartEvent');
|
||||
registerEventHandler(this.conversationStart, 'platypush.message.event.assistant.HotwordDetectedEvent');
|
||||
registerEventHandler(this.alertOn, 'platypush.message.event.assistant.AlertStartedEvent');
|
||||
registerEventHandler(this.alertOff, 'platypush.message.event.assistant.AlertEndEvent');
|
||||
registerEventHandler(this.speechRecognized, 'platypush.message.event.assistant.SpeechRecognizedEvent');
|
||||
|
|
|
|||
|
|
@ -118,6 +118,15 @@ class HotwordDetectedEvent(AssistantEvent):
|
|||
super().__init__(*args, hotword=hotword, **kwargs)
|
||||
|
||||
|
||||
class VolumeChangedEvent(AssistantEvent):
|
||||
"""
|
||||
Event triggered when the volume of the assistant changes
|
||||
"""
|
||||
|
||||
def __init__(self, volume, *args, **kwargs):
|
||||
super().__init__(*args, volume=volume, **kwargs)
|
||||
|
||||
|
||||
class AlertStartedEvent(AssistantEvent):
|
||||
"""
|
||||
Event triggered when an alert starts on the assistant
|
||||
|
|
|
|||
|
|
@ -0,0 +1,19 @@
|
|||
from abc import ABC, abstractmethod
|
||||
|
||||
from platypush.plugins import Plugin
|
||||
|
||||
class AssistantPlugin(ABC, Plugin):
|
||||
"""
|
||||
Base class for assistant plugins
|
||||
"""
|
||||
|
||||
@abstractmethod
|
||||
def start_conversation(self, *args, **kwargs):
|
||||
raise NotImplementedError
|
||||
|
||||
@abstractmethod
|
||||
def stop_conversation(self, *args, **kwargs):
|
||||
raise NotImplementedError
|
||||
|
||||
|
||||
# vim:sw=4:ts=4:et:
|
||||
|
|
@ -33,4 +33,3 @@ class AssistantGooglePlugin(Plugin):
|
|||
|
||||
|
||||
# vim:sw=4:ts=4:et:
|
||||
|
||||
|
|
|
|||
225
platypush/plugins/assistant/google/lib/__init__.py
Normal file
225
platypush/plugins/assistant/google/lib/__init__.py
Normal file
|
|
@ -0,0 +1,225 @@
|
|||
"""Based on Google pushtotalk.py sample."""
|
||||
|
||||
import concurrent.futures
|
||||
import json
|
||||
import logging
|
||||
|
||||
import grpc
|
||||
|
||||
from google.assistant.embedded.v1alpha2 import (
|
||||
embedded_assistant_pb2,
|
||||
embedded_assistant_pb2_grpc
|
||||
)
|
||||
from tenacity import retry, stop_after_attempt, retry_if_exception
|
||||
|
||||
try:
|
||||
from googlesamples.assistant.grpc import (
|
||||
assistant_helpers,
|
||||
audio_helpers,
|
||||
browser_helpers,
|
||||
device_helpers
|
||||
)
|
||||
except (SystemError, ImportError):
|
||||
import assistant_helpers
|
||||
import audio_helpers
|
||||
import browser_helpers
|
||||
import device_helpers
|
||||
|
||||
|
||||
ASSISTANT_API_ENDPOINT = 'embeddedassistant.googleapis.com'
|
||||
END_OF_UTTERANCE = embedded_assistant_pb2.AssistResponse.END_OF_UTTERANCE
|
||||
DIALOG_FOLLOW_ON = embedded_assistant_pb2.DialogStateOut.DIALOG_FOLLOW_ON
|
||||
CLOSE_MICROPHONE = embedded_assistant_pb2.DialogStateOut.CLOSE_MICROPHONE
|
||||
PLAYING = embedded_assistant_pb2.ScreenOutConfig.PLAYING
|
||||
DEFAULT_GRPC_DEADLINE = 60 * 3 + 5
|
||||
|
||||
|
||||
class SampleAssistant(object):
|
||||
"""Sample Assistant that supports conversations and device actions.
|
||||
|
||||
Args:
|
||||
device_model_id: identifier of the device model.
|
||||
device_id: identifier of the registered device instance.
|
||||
conversation_stream(ConversationStream): audio stream
|
||||
for recording query and playing back assistant answer.
|
||||
channel: authorized gRPC channel for connection to the
|
||||
Google Assistant API.
|
||||
deadline_sec: gRPC deadline in seconds for Google Assistant API call.
|
||||
device_handler: callback for device actions.
|
||||
"""
|
||||
|
||||
def __init__(self, language_code, device_model_id, device_id,
|
||||
conversation_stream, display,
|
||||
channel, deadline_sec, device_handler,
|
||||
on_conversation_start=None, on_conversation_end=None,
|
||||
on_speech_recognized=None, on_volume_changed=None,
|
||||
on_response=None):
|
||||
self.language_code = language_code
|
||||
self.device_model_id = device_model_id
|
||||
self.device_id = device_id
|
||||
self.conversation_stream = conversation_stream
|
||||
self.display = display
|
||||
|
||||
# Opaque blob provided in AssistResponse that,
|
||||
# when provided in a follow-up AssistRequest,
|
||||
# gives the Assistant a context marker within the current state
|
||||
# of the multi-Assist()-RPC "conversation".
|
||||
# This value, along with MicrophoneMode, supports a more natural
|
||||
# "conversation" with the Assistant.
|
||||
self.conversation_state = None
|
||||
# Force reset of first conversation.
|
||||
self.is_new_conversation = True
|
||||
|
||||
# Create Google Assistant API gRPC client.
|
||||
self.assistant = embedded_assistant_pb2_grpc.EmbeddedAssistantStub(
|
||||
channel
|
||||
)
|
||||
self.deadline = deadline_sec
|
||||
|
||||
self.device_handler = device_handler
|
||||
self.detected_speech = None
|
||||
|
||||
self.on_conversation_start = on_conversation_start
|
||||
self.on_conversation_end = on_conversation_end
|
||||
self.on_speech_recognized = on_speech_recognized
|
||||
self.on_volume_changed = on_volume_changed
|
||||
self.on_response = on_response
|
||||
|
||||
def __enter__(self):
|
||||
return self
|
||||
|
||||
def __exit__(self, etype, e, traceback):
|
||||
if e:
|
||||
return False
|
||||
self.conversation_stream.close()
|
||||
|
||||
def is_grpc_error_unavailable(e):
|
||||
is_grpc_error = isinstance(e, grpc.RpcError)
|
||||
if is_grpc_error and (e.code() == grpc.StatusCode.UNAVAILABLE):
|
||||
logging.error('grpc unavailable error: %s', e)
|
||||
return True
|
||||
return False
|
||||
|
||||
@retry(reraise=True, stop=stop_after_attempt(3),
|
||||
retry=retry_if_exception(is_grpc_error_unavailable))
|
||||
def assist(self):
|
||||
"""Send a voice request to the Assistant and playback the response.
|
||||
|
||||
Returns: True if conversation should continue.
|
||||
"""
|
||||
continue_conversation = False
|
||||
device_actions_futures = []
|
||||
|
||||
self.conversation_stream.start_recording()
|
||||
if self.on_conversation_start:
|
||||
self.on_conversation_start()
|
||||
|
||||
logging.info('Recording audio request.')
|
||||
|
||||
def iter_log_assist_requests():
|
||||
for c in self.gen_assist_requests():
|
||||
assistant_helpers.log_assist_request_without_audio(c)
|
||||
yield c
|
||||
logging.debug('Reached end of AssistRequest iteration.')
|
||||
|
||||
# This generator yields AssistResponse proto messages
|
||||
# received from the gRPC Google Assistant API.
|
||||
for resp in self.assistant.Assist(iter_log_assist_requests(),
|
||||
self.deadline):
|
||||
assistant_helpers.log_assist_response_without_audio(resp)
|
||||
if resp.event_type == END_OF_UTTERANCE:
|
||||
logging.info('End of audio request detected.')
|
||||
logging.info('Stopping recording.')
|
||||
self.conversation_stream.stop_recording()
|
||||
|
||||
if self.detected_speech and self.on_speech_recognized:
|
||||
self.on_speech_recognized(self.detected_speech)
|
||||
|
||||
if resp.speech_results:
|
||||
self.detected_speech = ' '.join(
|
||||
r.transcript.strip() for r in resp.speech_results
|
||||
if len(r).strip()).strip()
|
||||
|
||||
logging.info('Transcript of user request: "%s".', self.detected_speech)
|
||||
if len(resp.audio_out.audio_data) > 0:
|
||||
if not self.conversation_stream.playing:
|
||||
self.conversation_stream.stop_recording()
|
||||
self.conversation_stream.start_playback()
|
||||
logging.info('Playing assistant response.')
|
||||
self.conversation_stream.write(resp.audio_out.audio_data)
|
||||
if resp.dialog_state_out.conversation_state:
|
||||
conversation_state = resp.dialog_state_out.conversation_state
|
||||
logging.debug('Updating conversation state.')
|
||||
self.conversation_state = conversation_state
|
||||
if resp.dialog_state_out.volume_percentage != 0:
|
||||
volume_percentage = resp.dialog_state_out.volume_percentage
|
||||
logging.info('Setting volume to %s%%', volume_percentage)
|
||||
self.conversation_stream.volume_percentage = volume_percentage
|
||||
|
||||
if self.on_volume_changed:
|
||||
self.on_volume_changed(volume_percentage)
|
||||
if resp.dialog_state_out.microphone_mode == DIALOG_FOLLOW_ON:
|
||||
continue_conversation = True
|
||||
logging.info('Expecting follow-on query from user.')
|
||||
elif resp.dialog_state_out.microphone_mode == CLOSE_MICROPHONE:
|
||||
continue_conversation = False
|
||||
if resp.device_action.device_request_json:
|
||||
device_request = json.loads(
|
||||
resp.device_action.device_request_json
|
||||
)
|
||||
fs = self.device_handler(device_request)
|
||||
if fs:
|
||||
device_actions_futures.extend(fs)
|
||||
if self.display and resp.screen_out.data:
|
||||
system_browser = browser_helpers.system_browser
|
||||
system_browser.display(resp.screen_out.data)
|
||||
|
||||
if resp.dialog_state_out.supplemental_display_text and self.on_response:
|
||||
self.on_response(resp.dialog_state_out.supplemental_display_text)
|
||||
|
||||
if len(device_actions_futures):
|
||||
logging.info('Waiting for device executions to complete.')
|
||||
concurrent.futures.wait(device_actions_futures)
|
||||
|
||||
logging.info('Finished playing assistant response.')
|
||||
self.conversation_stream.stop_playback()
|
||||
|
||||
if self.on_conversation_end:
|
||||
self.on_conversation_end(continue_conversation)
|
||||
|
||||
return continue_conversation
|
||||
|
||||
def gen_assist_requests(self):
|
||||
"""Yields: AssistRequest messages to send to the API."""
|
||||
|
||||
config = embedded_assistant_pb2.AssistConfig(
|
||||
audio_in_config=embedded_assistant_pb2.AudioInConfig(
|
||||
encoding='LINEAR16',
|
||||
sample_rate_hertz=self.conversation_stream.sample_rate,
|
||||
),
|
||||
audio_out_config=embedded_assistant_pb2.AudioOutConfig(
|
||||
encoding='LINEAR16',
|
||||
sample_rate_hertz=self.conversation_stream.sample_rate,
|
||||
volume_percentage=self.conversation_stream.volume_percentage,
|
||||
),
|
||||
dialog_state_in=embedded_assistant_pb2.DialogStateIn(
|
||||
language_code=self.language_code,
|
||||
conversation_state=self.conversation_state,
|
||||
is_new_conversation=self.is_new_conversation,
|
||||
),
|
||||
device_config=embedded_assistant_pb2.DeviceConfig(
|
||||
device_id=self.device_id,
|
||||
device_model_id=self.device_model_id,
|
||||
)
|
||||
)
|
||||
if self.display:
|
||||
config.screen_out_config.screen_mode = PLAYING
|
||||
# Continue current conversation with later requests.
|
||||
self.is_new_conversation = False
|
||||
# The first AssistRequest must contain the AssistConfig
|
||||
# and no audio data.
|
||||
yield embedded_assistant_pb2.AssistRequest(config=config)
|
||||
for data in self.conversation_stream:
|
||||
# Subsequent requests need audio data, but not config.
|
||||
yield embedded_assistant_pb2.AssistRequest(audio_in=data)
|
||||
|
||||
|
|
@ -2,34 +2,242 @@
|
|||
.. moduleauthor:: Fabio Manganiello <blacklight86@gmail.com>
|
||||
"""
|
||||
|
||||
from platypush.context import get_backend
|
||||
from platypush.plugins import Plugin, action
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
|
||||
class AssistantGooglePushtotalkPlugin(Plugin):
|
||||
import google.auth.transport.grpc
|
||||
import google.auth.transport.requests
|
||||
import google.oauth2.credentials
|
||||
|
||||
import googlesamples.assistant.grpc.audio_helpers as audio_helpers
|
||||
import googlesamples.assistant.grpc.device_helpers as device_helpers
|
||||
|
||||
from platypush.context import get_bus
|
||||
from platypush.message.event.assistant import ConversationStartEvent, \
|
||||
ConversationEndEvent, SpeechRecognizedEvent, VolumeChangedEvent, \
|
||||
ResponseEvent
|
||||
|
||||
from platypush.plugins import action
|
||||
from platypush.plugins.assistant import AssistantPlugin
|
||||
from platypush.plugins.assistant.google.lib import SampleAssistant
|
||||
|
||||
class AssistantGooglePushtotalkPlugin(AssistantPlugin):
|
||||
"""
|
||||
Plugin for the Google assistant pushtotalk API. It acts as a wrapper to
|
||||
programmatically control a
|
||||
:mod:`platypush.backend.assistant.google.pushtotalk` backend.
|
||||
Plugin for the Google Assistant push-to-talk API.
|
||||
|
||||
Triggers:
|
||||
|
||||
* :class:`platypush.message.event.assistant.ConversationStartEvent` \
|
||||
when a new conversation starts
|
||||
* :class:`platypush.message.event.assistant.SpeechRecognizedEvent` \
|
||||
when a new voice command is recognized
|
||||
* :class:`platypush.message.event.assistant.ConversationEndEvent` \
|
||||
when a new conversation ends
|
||||
|
||||
Requires:
|
||||
|
||||
* **tenacity** (``pip install tenacity``)
|
||||
* **google-assistant-sdk** (``pip install google-assistant-sdk[samples]``)
|
||||
"""
|
||||
|
||||
def __init__(self, *args, **kwargs):
|
||||
super().__init__(*args, **kwargs)
|
||||
api_endpoint = 'embeddedassistant.googleapis.com'
|
||||
audio_sample_rate = audio_helpers.DEFAULT_AUDIO_SAMPLE_RATE
|
||||
audio_sample_width = audio_helpers.DEFAULT_AUDIO_SAMPLE_WIDTH
|
||||
audio_iter_size = audio_helpers.DEFAULT_AUDIO_ITER_SIZE
|
||||
audio_block_size = audio_helpers.DEFAULT_AUDIO_DEVICE_BLOCK_SIZE
|
||||
audio_flush_size = audio_helpers.DEFAULT_AUDIO_DEVICE_FLUSH_SIZE
|
||||
grpc_deadline = 60 * 3 + 5
|
||||
|
||||
def __init__(self,
|
||||
credentials_file=os.path.join(
|
||||
os.path.expanduser('~'), '.config',
|
||||
'google-oauthlib-tool', 'credentials.json'),
|
||||
device_config=os.path.join(
|
||||
os.path.expanduser('~'), '.config', 'googlesamples-assistant',
|
||||
'device_config.json'),
|
||||
language='en-US', **kwargs):
|
||||
"""
|
||||
:param credentials_file: Path to the Google OAuth credentials file \
|
||||
(default: ~/.config/google-oauthlib-tool/credentials.json). \
|
||||
See https://developers.google.com/assistant/sdk/guides/library/python/embed/install-sample#generate_credentials \
|
||||
for instructions to get your own credentials file.
|
||||
:type credentials_file: str
|
||||
|
||||
:param device_config: Path to device_config.json. Register your device \
|
||||
(see https://developers.google.com/assistant/sdk/guides/library/python/embed/register-device) \
|
||||
and create a project, then run the pushtotalk.py script from \
|
||||
googlesamples to create your device_config.json
|
||||
:type device_config: str
|
||||
|
||||
:param language: Assistant language (default: en-US)
|
||||
:type language: str
|
||||
"""
|
||||
|
||||
super().__init__(**kwargs)
|
||||
|
||||
self.language = language
|
||||
self.credentials_file = credentials_file
|
||||
self.device_config = device_config
|
||||
self.assistant = None
|
||||
self.interactions = []
|
||||
|
||||
with open(self.device_config) as f:
|
||||
device = json.load(f)
|
||||
self.device_id = device['id']
|
||||
self.device_model_id = device['model_id']
|
||||
|
||||
# Load OAuth 2.0 credentials.
|
||||
try:
|
||||
with open(self.credentials_file, 'r') as f:
|
||||
self.credentials = google.oauth2.credentials.Credentials(token=None,
|
||||
**json.load(f))
|
||||
self.http_request = google.auth.transport.requests.Request()
|
||||
self.credentials.refresh(self.http_request)
|
||||
except Exception as ex:
|
||||
self.logger.error('Error loading credentials: %s', str(ex))
|
||||
self.logger.error('Run google-oauthlib-tool to initialize '
|
||||
'new OAuth 2.0 credentials.')
|
||||
raise
|
||||
|
||||
self.grpc_channel = None
|
||||
self.conversation_stream = None
|
||||
self.device_handler = None
|
||||
|
||||
def _init_assistant(self):
|
||||
self.interactions = []
|
||||
|
||||
# Create an authorized gRPC channel.
|
||||
self.grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
|
||||
self.credentials, self.http_request, self.api_endpoint)
|
||||
|
||||
self.logger.info('Connecting to {}'.format(self.api_endpoint))
|
||||
|
||||
# Configure audio source and sink.
|
||||
audio_device = None
|
||||
audio_source = audio_device = (
|
||||
audio_device or audio_helpers.SoundDeviceStream(
|
||||
sample_rate=self.audio_sample_rate,
|
||||
sample_width=self.audio_sample_width,
|
||||
block_size=self.audio_block_size,
|
||||
flush_size=self.audio_flush_size
|
||||
)
|
||||
)
|
||||
|
||||
audio_sink = audio_device = (
|
||||
audio_device or audio_helpers.SoundDeviceStream(
|
||||
sample_rate=self.audio_sample_rate,
|
||||
sample_width=self.audio_sample_width,
|
||||
block_size=self.audio_block_size,
|
||||
flush_size=self.audio_flush_size
|
||||
)
|
||||
)
|
||||
|
||||
# Create conversation stream with the given audio source and sink.
|
||||
self.conversation_stream = audio_helpers.ConversationStream(
|
||||
source=audio_source,
|
||||
sink=audio_sink,
|
||||
iter_size=self.audio_iter_size,
|
||||
sample_width=self.audio_sample_width,
|
||||
)
|
||||
|
||||
self.device_handler = device_helpers.DeviceRequestHandler(self.device_id)
|
||||
|
||||
def on_conversation_start(self):
|
||||
""" Conversation start handler """
|
||||
def handler():
|
||||
get_bus().post(ConversationStartEvent())
|
||||
|
||||
return handler
|
||||
|
||||
def on_conversation_end(self):
|
||||
""" Conversation end handler """
|
||||
def handler(with_follow_on_turn):
|
||||
get_bus().post(ConversationEndEvent(with_follow_on_turn=with_follow_on_turn))
|
||||
|
||||
return handler
|
||||
|
||||
def on_speech_recognized(self):
|
||||
""" Speech recognized handler """
|
||||
def handler(phrase):
|
||||
get_bus().post(SpeechRecognizedEvent(phrase=phrase))
|
||||
self.interactions.append({'request': phrase})
|
||||
|
||||
return handler
|
||||
|
||||
def on_volume_changed(self):
|
||||
""" Volume changed event """
|
||||
def handler(volume):
|
||||
get_bus().post(VolumeChangedEvent(volume=volume))
|
||||
|
||||
return handler
|
||||
|
||||
def on_response(self):
|
||||
""" Response handler """
|
||||
def handler(response):
|
||||
get_bus().post(ResponseEvent(response_text=response))
|
||||
|
||||
if not self.interactions:
|
||||
self.interactions.append({'response': response})
|
||||
else:
|
||||
self.interactions[-1]['response'] = response
|
||||
|
||||
return handler
|
||||
|
||||
@action
|
||||
def start_conversation(self):
|
||||
def start_conversation(self, language=None):
|
||||
"""
|
||||
Programmatically start a conversation with the assistant
|
||||
Start a conversation
|
||||
|
||||
:param language: Language code override (default: default configured
|
||||
language)
|
||||
:type language: str
|
||||
|
||||
:returns: A list of the interactions that happen within the conversation::
|
||||
|
||||
[
|
||||
{
|
||||
"request": "request 1",
|
||||
"response": "response 1"
|
||||
},
|
||||
{
|
||||
"request": "request 2",
|
||||
"response": "response 2"
|
||||
},
|
||||
]
|
||||
"""
|
||||
assistant = get_backend('assistant.google.pushtotalk')
|
||||
assistant.start_conversation()
|
||||
|
||||
if not language:
|
||||
language = self.language
|
||||
|
||||
self._init_assistant()
|
||||
|
||||
with SampleAssistant(language_code=language,
|
||||
device_model_id=self.device_model_id,
|
||||
device_id=self.device_id,
|
||||
conversation_stream=self.conversation_stream,
|
||||
display=None,
|
||||
channel=self.grpc_channel,
|
||||
deadline_sec=self.grpc_deadline,
|
||||
device_handler=None,
|
||||
on_conversation_start=self.on_conversation_start(),
|
||||
on_conversation_end=self.on_conversation_end(),
|
||||
on_volume_changed=self.on_volume_changed(),
|
||||
on_response=self.on_response(),
|
||||
on_speech_recognized=self.on_speech_recognized()) as self.assistant:
|
||||
continue_conversation = True
|
||||
|
||||
while continue_conversation:
|
||||
continue_conversation = self.assistant.assist()
|
||||
|
||||
return self.interactions
|
||||
|
||||
@action
|
||||
def stop_conversation(self):
|
||||
"""
|
||||
Programmatically stop a running conversation with the assistant
|
||||
"""
|
||||
assistant = get_backend('assistant.google.pushtotalk')
|
||||
assistant.stop_conversation()
|
||||
""" Stop a conversation """
|
||||
if self.assistant:
|
||||
self.conversation_stream.stop_playback()
|
||||
get_bus().post(ConversationEndEvent())
|
||||
|
||||
|
||||
# vim:sw=4:ts=4:et:
|
||||
|
||||
|
|
|
|||
|
|
@ -54,7 +54,9 @@ sqlalchemy
|
|||
# Google APIs general layer support
|
||||
# google-api-python-client
|
||||
# oauth2client
|
||||
# google-cloud
|
||||
|
||||
# Google text-to-speech API support
|
||||
# google-cloud-texttospeech
|
||||
|
||||
# Last.FM scrobbler plugin support
|
||||
# pylast
|
||||
|
|
|
|||
Loading…
Reference in a new issue