118 lines
4.3 KiB
Python
118 lines
4.3 KiB
Python
# Copyright 2017 Mycroft AI Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import unittest
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from unittest.mock import patch
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import os
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from speech_recognition import WavFile
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from mycroft.client.speech.listener import RecognizerLoop
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from mycroft.configuration import Configuration
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from test.util import base_config
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DATA_DIR = os.path.join(os.path.abspath(os.path.dirname(__file__)), "data")
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class PocketSphinxRecognizerTest(unittest.TestCase):
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def setUp(self):
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with patch('mycroft.configuration.Configuration.get') as \
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mock_config_get:
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conf = base_config()
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conf['hotwords']['hey mycroft']['module'] = 'pocketsphinx'
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mock_config_get.return_value = conf
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rl = RecognizerLoop()
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self.recognizer = RecognizerLoop.create_wake_word_recognizer(rl)
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def testRecognizerWrapper(self):
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source = WavFile(os.path.join(DATA_DIR, "hey_mycroft.wav"))
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with source as audio:
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assert self.recognizer.found_wake_word(audio.stream.read())
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source = WavFile(os.path.join(DATA_DIR, "mycroft.wav"))
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with source as audio:
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assert self.recognizer.found_wake_word(audio.stream.read())
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def testRecognitionInLongerUtterance(self):
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source = WavFile(os.path.join(DATA_DIR, "weather_mycroft.wav"))
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with source as audio:
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assert self.recognizer.found_wake_word(audio.stream.read())
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class LocalRecognizerInitTest(unittest.TestCase):
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@patch.object(Configuration, 'get')
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def testListenerConfig(self, mock_config_get):
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"""Ensure that the fallback method collecting phonemes etc.
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from the listener config works.
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"""
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test_config = base_config()
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mock_config_get.return_value = test_config
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# Test "Hey Mycroft"
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rl = RecognizerLoop()
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self.assertEqual(rl.wakeword_recognizer.key_phrase, "hey mycroft")
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# Test "Hey Victoria"
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test_config['listener']['wake_word'] = 'hey victoria'
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test_config['listener']['phonemes'] = 'HH EY . V IH K T AO R IY AH'
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test_config['listener']['threshold'] = 1e-90
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rl = RecognizerLoop()
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self.assertEqual(rl.wakeword_recognizer.key_phrase, "hey victoria")
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# Test Invalid"
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test_config['listener']['wake_word'] = 'hey victoria'
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test_config['listener']['phonemes'] = 'ZZZZZZZZZZZZ'
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rl = RecognizerLoop()
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self.assertEqual(rl.wakeword_recognizer.key_phrase, "hey mycroft")
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@patch.object(Configuration, 'get')
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def testHotwordConfig(self, mock_config_get):
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"""Ensure that the fallback method collecting phonemes etc.
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from the listener config works.
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"""
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test_config = base_config()
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mock_config_get.return_value = test_config
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# Set fallback values
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test_config['listener']['phonemes'] = 'HH EY . V IH K T AO R IY AH'
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test_config['listener']['threshold'] = 1e-90
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steve_conf = {
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'model': 'pocketsphinx',
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'phonemes': 'S T IY V .',
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'threshold': 1e-42
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}
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test_config['hotwords']['steve'] = steve_conf
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test_config['listener']['wake_word'] = 'steve'
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rl = RecognizerLoop()
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self.assertEqual(rl.wakeword_recognizer.key_phrase, 'steve')
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# Ensure phonemes and threshold are poulated from listener config
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# if they're missing
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# Set fallback values
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test_config['listener']['phonemes'] = 'S T IY V .'
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test_config['listener']['threshold'] = 1e-90
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steve_conf = {
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'model': 'pocketsphinx'
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}
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test_config['hotwords']['steve'] = steve_conf
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test_config['listener']['wake_word'] = 'steve'
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rl = RecognizerLoop()
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self.assertEqual(rl.wakeword_recognizer.key_phrase, 'steve')
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self.assertEqual(rl.wakeword_recognizer.phonemes, 'S T IY V .')
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