forked from platypush/platypush
284e0638f8
Reverted the previous retry logic for backend - it didn't really work This reverts commit4e0e4863a0. This reverts commit964c7b5cf0. This reverts commit6ce348365f.
385 lines
15 KiB
Python
385 lines
15 KiB
Python
"""
|
|
.. moduleauthor:: Fabio Manganiello <blacklight86@gmail.com>
|
|
.. license: MIT
|
|
"""
|
|
|
|
import concurrent
|
|
import json
|
|
import logging
|
|
import os
|
|
|
|
import grpc
|
|
import google.auth.transport.grpc
|
|
import google.auth.transport.requests
|
|
import google.oauth2.credentials
|
|
from google.assistant.embedded.v1alpha2 import embedded_assistant_pb2, \
|
|
embedded_assistant_pb2_grpc
|
|
|
|
import googlesamples.assistant.grpc.audio_helpers as audio_helpers
|
|
import googlesamples.assistant.grpc.device_helpers as device_helpers
|
|
import googlesamples.assistant.grpc.assistant_helpers as assistant_helpers
|
|
|
|
from tenacity import retry, stop_after_attempt, retry_if_exception
|
|
|
|
|
|
from platypush.backend import Backend
|
|
from platypush.message.event.assistant import \
|
|
ConversationStartEvent, ConversationEndEvent, SpeechRecognizedEvent
|
|
|
|
|
|
class AssistantGooglePushtotalkBackend(Backend):
|
|
"""
|
|
Google Assistant pushtotalk backend. Instead of listening for the "OK
|
|
Google" hotword like the assistant.google backend, this implementation
|
|
programmatically starts a conversation upon start_conversation() method
|
|
call. Use this backend on devices that don't have an Assistant SDK package
|
|
(e.g. arm6 devices like the RaspberryPi Zero or the RaspberryPi 1).
|
|
|
|
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``)
|
|
* **grpc** (``pip install grpc``)
|
|
* **google-assistant-grpc** (``pip install google-assistant-grpc``)
|
|
"""
|
|
|
|
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, *args,
|
|
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'),
|
|
lang='en-US',
|
|
conversation_start_fifo=os.path.join(os.path.sep, 'tmp', 'pushtotalk.fifo'),
|
|
**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 lang: Assistant language (default: en-US)
|
|
:type lang: str
|
|
"""
|
|
|
|
super().__init__(*args, **kwargs)
|
|
|
|
self.lang = lang
|
|
self.credentials_file = credentials_file
|
|
self.device_config = device_config
|
|
self.conversation_start_fifo = conversation_start_fifo
|
|
self.assistant = None
|
|
|
|
try:
|
|
os.mkfifo(self.conversation_start_fifo)
|
|
except FileExistsError:
|
|
pass
|
|
|
|
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:
|
|
credentials = google.oauth2.credentials.Credentials(token=None,
|
|
**json.load(f))
|
|
http_request = google.auth.transport.requests.Request()
|
|
credentials.refresh(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
|
|
|
|
# Create an authorized gRPC channel.
|
|
self.grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
|
|
credentials, http_request, self.api_endpoint)
|
|
self.logger.info('Connecting to %s', 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 start_conversation(self):
|
|
""" Start a conversation """
|
|
if self.assistant:
|
|
with open(self.conversation_start_fifo, 'w') as f:
|
|
f.write('1')
|
|
|
|
def stop_conversation(self):
|
|
""" Stop a conversation """
|
|
if self.assistant:
|
|
self.conversation_stream.stop_playback()
|
|
self.bus.post(ConversationEndEvent())
|
|
|
|
def on_conversation_start(self):
|
|
""" Conversation start handler """
|
|
self.bus.post(ConversationStartEvent())
|
|
|
|
def on_conversation_end(self):
|
|
""" Conversation end handler """
|
|
self.bus.post(ConversationEndEvent())
|
|
|
|
def on_speech_recognized(self, speech):
|
|
""" Speech recognized handler """
|
|
self.bus.post(SpeechRecognizedEvent(phrase=speech))
|
|
|
|
def run(self):
|
|
""" Backend executor """
|
|
super().run()
|
|
|
|
with SampleAssistant(self.lang, self.device_model_id, self.device_id,
|
|
self.conversation_stream,
|
|
self.grpc_channel, self.grpc_deadline,
|
|
self.device_handler,
|
|
on_conversation_start=self.on_conversation_start,
|
|
on_conversation_end=self.on_conversation_end,
|
|
on_speech_recognized=self.on_speech_recognized) as self.assistant:
|
|
while not self.should_stop():
|
|
with open(self.conversation_start_fifo, 'r') as f:
|
|
f.read()
|
|
|
|
self.logger.info('Received conversation start event')
|
|
continue_conversation = True
|
|
|
|
while continue_conversation:
|
|
(user_request, continue_conversation) = self.assistant.assist()
|
|
self.logger('User request: {}'.format(user_request))
|
|
|
|
self.on_conversation_end()
|
|
|
|
|
|
class SampleAssistant:
|
|
"""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.
|
|
"""
|
|
|
|
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
|
|
|
|
def __init__(self, language_code, device_model_id, device_id,
|
|
conversation_stream,
|
|
channel, deadline_sec, device_handler,
|
|
on_conversation_start=None,
|
|
on_conversation_end=None,
|
|
on_speech_recognized=None):
|
|
self.language_code = language_code
|
|
self.device_model_id = device_model_id
|
|
self.device_id = device_id
|
|
self.conversation_stream = conversation_stream
|
|
self.logger = logging.getLogger(__name__)
|
|
|
|
self.on_conversation_start = on_conversation_start
|
|
self.on_conversation_end = on_conversation_end
|
|
self.on_speech_recognized = on_speech_recognized
|
|
|
|
# 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
|
|
|
|
# Create Google Assistant API gRPC client.
|
|
self.assistant = embedded_assistant_pb2_grpc.EmbeddedAssistantStub(
|
|
channel
|
|
)
|
|
self.deadline = deadline_sec
|
|
|
|
self.device_handler = device_handler
|
|
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, etype, e, traceback):
|
|
if e:
|
|
return False
|
|
self.conversation_stream.close()
|
|
return True
|
|
|
|
@staticmethod
|
|
def is_grpc_error_unavailable(e):
|
|
""" Returns True if the gRPC is not available """
|
|
is_grpc_error = isinstance(e, grpc.RpcError)
|
|
if is_grpc_error and (e.code() == grpc.StatusCode.UNAVAILABLE):
|
|
print('grpc unavailable error: {}'.format(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()
|
|
self.logger.info('Recording audio request.')
|
|
|
|
if self.on_conversation_start:
|
|
self.on_conversation_start()
|
|
|
|
def iter_assist_requests():
|
|
for c in self.gen_assist_requests():
|
|
assistant_helpers.log_assist_request_without_audio(c)
|
|
yield c
|
|
self.conversation_stream.start_playback()
|
|
|
|
user_request = None
|
|
|
|
# This generator yields AssistResponse proto messages
|
|
# received from the gRPC Google Assistant API.
|
|
for resp in self.assistant.Assist(iter_assist_requests(),
|
|
self.deadline):
|
|
assistant_helpers.log_assist_response_without_audio(resp)
|
|
if resp.event_type == self.END_OF_UTTERANCE:
|
|
self.logger.info('End of audio request detected')
|
|
self.conversation_stream.stop_recording()
|
|
if resp.speech_results:
|
|
user_request = ' '.join(
|
|
r.transcript for r in resp.speech_results)
|
|
|
|
self.logger.info('Transcript of user request: "%s".', user_request)
|
|
self.logger.info('Playing assistant response.')
|
|
if resp.audio_out.audio_data:
|
|
self.conversation_stream.write(resp.audio_out.audio_data)
|
|
if resp.dialog_state_out.conversation_state:
|
|
conversation_state = resp.dialog_state_out.conversation_state
|
|
self.logger.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
|
|
self.logger.info('Setting volume to %s%%', volume_percentage)
|
|
self.conversation_stream.volume_percentage = volume_percentage
|
|
if resp.dialog_state_out.microphone_mode == self.DIALOG_FOLLOW_ON:
|
|
continue_conversation = True
|
|
self.logger.info('Expecting follow-on query from user.')
|
|
elif resp.dialog_state_out.microphone_mode == self.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 device_actions_futures:
|
|
self.logger.info('Waiting for device executions to complete.')
|
|
concurrent.futures.wait(device_actions_futures)
|
|
|
|
self.logger.info('Finished playing assistant response.')
|
|
|
|
try:
|
|
self.conversation_stream.stop_playback()
|
|
except Exception:
|
|
pass
|
|
|
|
if user_request and self.on_speech_recognized:
|
|
self.on_speech_recognized(user_request)
|
|
|
|
return (user_request, continue_conversation)
|
|
|
|
def gen_assist_requests(self):
|
|
"""Yields: AssistRequest messages to send to the API."""
|
|
|
|
dialog_state_in = embedded_assistant_pb2.DialogStateIn(
|
|
language_code=self.language_code,
|
|
conversation_state=b''
|
|
)
|
|
|
|
if self.conversation_state:
|
|
self.logger.debug('Sending conversation state.')
|
|
dialog_state_in.conversation_state = self.conversation_state
|
|
|
|
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=dialog_state_in,
|
|
device_config=embedded_assistant_pb2.DeviceConfig(
|
|
device_id=self.device_id,
|
|
device_model_id=self.device_model_id,
|
|
)
|
|
)
|
|
|
|
# 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)
|
|
|
|
|
|
# vim:sw=4:ts=4:et:
|