# Copyright 2017 Mycroft AI Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import unittest import mock import os from speech_recognition import WavFile from mycroft.client.speech.listener import RecognizerLoop from mycroft.configuration import Configuration from test.util import base_config DATA_DIR = os.path.join(os.path.abspath(os.path.dirname(__file__)), "data") class LocalRecognizerTest(unittest.TestCase): def setUp(self): with mock.patch('mycroft.configuration.Configuration.get') as \ mock_config_get: mock_config_get.return_value = base_config() rl = RecognizerLoop() self.recognizer = RecognizerLoop.create_wake_word_recognizer(rl) def testRecognizerWrapper(self): source = WavFile(os.path.join(DATA_DIR, "hey_mycroft.wav")) with source as audio: assert self.recognizer.found_wake_word(audio.stream.read()) source = WavFile(os.path.join(DATA_DIR, "mycroft.wav")) with source as audio: assert self.recognizer.found_wake_word(audio.stream.read()) def testRecognitionInLongerUtterance(self): source = WavFile(os.path.join(DATA_DIR, "weather_mycroft.wav")) with source as audio: assert self.recognizer.found_wake_word(audio.stream.read()) class LocalRecognizerInitTest(unittest.TestCase): @mock.patch.object(Configuration, 'get') def testRecognizer(self, mock_config_get): test_config = base_config() mock_config_get.return_value = test_config # Test "Hey Mycroft" rl = RecognizerLoop() self.assertEquals(rl.wakeword_recognizer.key_phrase, "hey mycroft") # Test "Hey Victoria" test_config['listener']['wake_word'] = 'hey victoria' test_config['listener']['phonemes'] = 'HH EY . V IH K T AO R IY AH' rl = RecognizerLoop() self.assertEquals(rl.wakeword_recognizer.key_phrase, "hey victoria") # Test Invalid" test_config['listener']['wake_word'] = 'hey victoria' test_config['listener']['phonemes'] = 'ZZZZZZZZZZZZ' rl = RecognizerLoop() self.assertEquals(rl.wakeword_recognizer.key_phrase, "hey mycroft")