93 lines
3.1 KiB
Python
93 lines
3.1 KiB
Python
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# Copyright 2017 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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from time import time as get_time, sleep
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from threading import Event
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from os.path import expanduser, isfile
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from mycroft.configuration import ConfigurationManager
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from mycroft.messagebus.message import Message
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from mycroft.skills.core import FallbackSkill
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from mycroft.util.log import getLogger
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from mycroft.util.parse import normalize
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from padatious import IntentContainer
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__author__ = 'matthewscholefield'
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logger = getLogger(__name__)
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class PadatiousService(object):
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def __init__(self, emitter):
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self.config = ConfigurationManager.get()['padatious']
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intent_cache = expanduser(self.config['intent_cache'])
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self.container = IntentContainer(intent_cache)
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self.train_delay = self.config['train_delay']
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self.train_time = -1.0
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self.emitter = emitter
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self.emitter.on('padatious:register_intent', self.register_intent)
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FallbackSkill.register_fallback(self.handle_fallback, 5)
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self.finished_training_event = Event()
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def wait_and_train(self):
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sleep(self.train_delay)
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if self.train_time < 0.0:
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return
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if self.train_time <= get_time() + 0.01:
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self.train_time = -1.0
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self.finished_training_event.clear()
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logger.info('Training...')
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self.container.train(print_updates=False)
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logger.info('Training complete.')
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self.finished_training_event.set()
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def register_intent(self, message):
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logger.debug('Registering Padatious intent: ' +
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message.data['intent_name'])
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file_name = message.data['file_name']
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intent_name = message.data['intent_name']
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if not isfile(file_name):
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return
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self.container.load_file(intent_name, file_name)
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self.train_time = get_time() + self.train_delay
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self.wait_and_train()
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def handle_fallback(self, message):
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utt = message.data.get('utterance')
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logger.debug("Padatious fallback attempt: " + utt)
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utt = normalize(utt, message.data.get('lang', 'en-us'))
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if not self.finished_training_event.is_set():
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logger.debug('Waiting for training to finish...')
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self.finished_training_event.wait()
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data = self.container.calc_intent(utt)
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if data.conf < 0.5:
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return False
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self.emitter.emit(Message(data.name, data=data.matches))
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return True
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