platypush/platypush/backend/assistant/google/__init__.py

200 lines
8.3 KiB
Python

"""
.. moduleauthor:: Fabio Manganiello <blacklight86@gmail.com>
.. license: MIT
"""
import json
import os
import time
from platypush.backend.assistant import AssistantBackend
from platypush.message.event.assistant import \
ConversationStartEvent, ConversationEndEvent, ConversationTimeoutEvent, \
ResponseEvent, NoResponseEvent, SpeechRecognizedEvent, AlarmStartedEvent, \
AlarmEndEvent, TimerStartedEvent, TimerEndEvent, AlertStartedEvent, \
AlertEndEvent, MicMutedEvent, MicUnmutedEvent
class AssistantGoogleBackend(AssistantBackend):
"""
Google Assistant backend.
It listens for voice commands and post conversation events on the bus.
**WARNING**: The Google Assistant library used by this backend has officially been deprecated:
https://developers.google.com/assistant/sdk/reference/library/python/. This backend still works on most of the
devices where I use it, but its correct functioning is not guaranteed as the assistant library is no longer
maintained.
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.NoResponse` \
when a conversation returned no response
* :class:`platypush.message.event.assistant.ResponseEvent` \
when the assistant is speaking a response
* :class:`platypush.message.event.assistant.ConversationTimeoutEvent` \
when a conversation times out
* :class:`platypush.message.event.assistant.ConversationEndEvent` \
when a new conversation ends
* :class:`platypush.message.event.assistant.AlarmStartedEvent` \
when an alarm starts
* :class:`platypush.message.event.assistant.AlarmEndEvent` \
when an alarm ends
* :class:`platypush.message.event.assistant.TimerStartedEvent` \
when a timer starts
* :class:`platypush.message.event.assistant.TimerEndEvent` \
when a timer ends
* :class:`platypush.message.event.assistant.MicMutedEvent` \
when the microphone is muted.
* :class:`platypush.message.event.assistant.MicUnmutedEvent` \
when the microphone is un-muted.
Requires:
* **google-assistant-library** (``pip install google-assistant-library``)
* **google-assistant-sdk[samples]** (``pip install google-assistant-sdk[samples]``)
"""
def __init__(self,
credentials_file=os.path.join(
os.path.expanduser('~/.config'),
'google-oauthlib-tool', 'credentials.json'),
device_model_id='Platypush', **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_model_id: Device model ID to use for the assistant \
(default: Platypush)
:type device_model_id: str
"""
super().__init__(**kwargs)
self.credentials_file = credentials_file
self.device_model_id = device_model_id
self.credentials = None
self.assistant = None
self._has_error = False
self._is_muted = False
self.logger.info('Initialized Google Assistant backend')
def _process_event(self, event):
from google.assistant.library.event import EventType, AlertType
self.logger.info('Received assistant event: {}'.format(event))
self._has_error = False
if event.type == EventType.ON_CONVERSATION_TURN_STARTED:
self.bus.post(ConversationStartEvent(assistant=self))
elif event.type == EventType.ON_CONVERSATION_TURN_FINISHED:
if not event.args.get('with_follow_on_turn'):
self.bus.post(ConversationEndEvent(assistant=self))
elif event.type == EventType.ON_CONVERSATION_TURN_TIMEOUT:
self.bus.post(ConversationTimeoutEvent(assistant=self))
elif event.type == EventType.ON_NO_RESPONSE:
self.bus.post(NoResponseEvent(assistant=self))
elif hasattr(EventType, 'ON_RENDER_RESPONSE') and \
event.type == EventType.ON_RENDER_RESPONSE:
self.bus.post(ResponseEvent(assistant=self, response_text=event.args.get('text')))
tts, args = self._get_tts_plugin()
if tts and 'text' in event.args:
self.stop_conversation()
tts.say(text=event.args['text'], **args)
elif hasattr(EventType, 'ON_RESPONDING_STARTED') and \
event.type == EventType.ON_RESPONDING_STARTED and \
event.args.get('is_error_response', False) is True:
self.logger.warning('Assistant response error')
elif event.type == EventType.ON_RECOGNIZING_SPEECH_FINISHED:
phrase = event.args['text'].lower().strip()
self.logger.info('Speech recognized: {}'.format(phrase))
self.bus.post(SpeechRecognizedEvent(assistant=self, phrase=phrase))
elif event.type == EventType.ON_ALERT_STARTED:
if event.args.get('alert_type') == AlertType.ALARM:
self.bus.post(AlarmStartedEvent(assistant=self))
elif event.args.get('alert_type') == AlertType.TIMER:
self.bus.post(TimerStartedEvent(assistant=self))
else:
self.bus.post(AlertStartedEvent(assistant=self))
elif event.type == EventType.ON_ALERT_FINISHED:
if event.args.get('alert_type') == AlertType.ALARM:
self.bus.post(AlarmEndEvent(assistant=self))
elif event.args.get('alert_type') == AlertType.TIMER:
self.bus.post(TimerEndEvent(assistant=self))
else:
self.bus.post(AlertEndEvent(assistant=self))
elif event.type == EventType.ON_ASSISTANT_ERROR:
self._has_error = True
if event.args.get('is_fatal'):
self.logger.error('Fatal assistant error')
else:
self.logger.warning('Assistant error')
if event.type == EventType.ON_MUTED_CHANGED:
self._is_muted = event.args.get('is_muted')
event = MicMutedEvent() if self._is_muted else MicUnmutedEvent()
self.bus.post(event)
def start_conversation(self):
""" Starts an assistant conversation """
if self.assistant:
self.assistant.start_conversation()
def stop_conversation(self):
""" Stops an assistant conversation """
if self.assistant:
self.assistant.stop_conversation()
def set_mic_mute(self, muted):
if not self.assistant:
self.logger.warning('Assistant not running')
return
self.assistant.set_mic_mute(muted)
def is_muted(self) -> bool:
return self._is_muted
def send_text_query(self, query):
if not self.assistant:
self.logger.warning('Assistant not running')
return
self.assistant.send_text_query(query)
def run(self):
import google.oauth2.credentials
from google.assistant.library import Assistant
super().run()
with open(self.credentials_file, 'r') as f:
self.credentials = google.oauth2.credentials.Credentials(token=None, **json.load(f))
while not self.should_stop():
self._has_error = False
with Assistant(self.credentials, self.device_model_id) as assistant:
self.assistant = assistant
for event in assistant.start():
if not self.is_detecting():
self.logger.info('Assistant event received but detection is currently paused')
continue
self._process_event(event)
if self._has_error:
self.logger.info('Restarting the assistant after an unrecoverable error')
time.sleep(5)
break
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