141 lines
3.8 KiB
Python
141 lines
3.8 KiB
Python
# Copyright 2016 Mycroft AI, Inc.
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#
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# This file is part of Mycroft Core.
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#
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# Mycroft Core is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Mycroft Core is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Mycroft Core. If not, see <http://www.gnu.org/licenses/>.
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import subprocess
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import sys
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from threading import Thread, Lock
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import re
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from mycroft.client.speech.listener import RecognizerLoop
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from mycroft.configuration import ConfigurationManager
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from mycroft.messagebus.client.ws import WebsocketClient
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from mycroft.messagebus.message import Message
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from mycroft.tts import TTSFactory
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from mycroft.util import kill
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from mycroft.util.log import getLogger
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logger = getLogger("SpeechClient")
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client = None
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tts = TTSFactory.create()
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mutex = Lock()
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loop = None
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config = ConfigurationManager.get()
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def handle_record_begin():
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logger.info("Begin Recording...")
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client.emit(Message('recognizer_loop:record_begin'))
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def handle_record_end():
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logger.info("End Recording...")
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client.emit(Message('recognizer_loop:record_end'))
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def handle_wakeword(event):
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logger.info("Wakeword Detected: " + event['utterance'])
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client.emit(Message('recognizer_loop:wakeword', event))
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def handle_utterance(event):
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logger.info("Utterance: " + str(event['utterances']))
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client.emit(Message('recognizer_loop:utterance', event))
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def mute_and_speak(utterance):
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mutex.acquire()
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client.emit(Message("recognizer_loop:audio_output_start"))
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try:
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logger.info("Speak: " + utterance)
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loop.mute()
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tts.execute(utterance, client)
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finally:
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loop.unmute()
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mutex.release()
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client.emit(Message("recognizer_loop:audio_output_end"))
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def handle_multi_utterance_intent_failure(event):
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logger.info("Failed to find intent on multiple intents.")
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# TODO: Localize
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mute_and_speak("Sorry, I didn't catch that. Please rephrase your request.")
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def handle_speak(event):
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utterance = event.data['utterance']
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chunks = re.split(r'(?<!\w\.\w.)(?<![A-Z][a-z]\.)(?<=\.|\?)\s', utterance)
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for chunk in chunks:
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mute_and_speak(chunk)
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def handle_sleep(event):
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loop.sleep()
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def handle_wake_up(event):
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loop.awaken()
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def handle_stop(event):
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kill([config.get('tts').get('module')])
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kill(["aplay"])
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def connect():
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client.run_forever()
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def main():
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global client
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global loop
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client = WebsocketClient()
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loop = RecognizerLoop()
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loop.on('recognizer_loop:utterance', handle_utterance)
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loop.on('recognizer_loop:record_begin', handle_record_begin)
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loop.on('recognizer_loop:wakeword', handle_wakeword)
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loop.on('recognizer_loop:record_end', handle_record_end)
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loop.on('speak', handle_speak)
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client.on('speak', handle_speak)
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client.on(
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'multi_utterance_intent_failure',
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handle_multi_utterance_intent_failure)
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client.on('recognizer_loop:sleep', handle_sleep)
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client.on('recognizer_loop:wake_up', handle_wake_up)
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client.on('mycroft.stop', handle_stop)
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event_thread = Thread(target=connect)
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event_thread.setDaemon(True)
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event_thread.start()
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try:
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subprocess.call('echo "eyes.reset" >/dev/ttyAMA0', shell=True)
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except:
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pass
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try:
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loop.run()
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except KeyboardInterrupt, e:
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logger.exception(e)
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event_thread.exit()
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sys.exit()
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if __name__ == "__main__":
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main()
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