class HazardDetectionTests(unittest.TestCase):
def setUp(self):
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
self.ch = RappPlatformAPI()
def test_lightLeftOn(self):
imagepath = path.join(self.pkgDir, 'test_data',
'hazard_detection_samples', 'lamp_on.jpg')
response = self.ch.hazardDetectionLights(imagepath)
self.assertEqual(response['error'], u'')
self.assertEqual(response['light_level'] > 50, True)
def test_erroneousPath(self):
imagepath = path.join(self.pkgDir, 'test_data', 'lamp_on.jpg')
response = self.ch.hazardDetectionLights(imagepath)
self.assertNotEqual(response['error'], u'')
def test_wrongPathType(self):
imagepath = 3
response = self.ch.hazardDetectionLights(imagepath)
self.assertNotEqual(response['error'], u'')
class QrDetectionTests(unittest.TestCase):
def setUp(self):
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
self.ch = RappPlatformAPI()
def test_detect_qr(self):
imagepath = path.join(self.pkgDir, 'test_data','qr_code_rapp.jpg')
valid_results = {
'qr_centers': [{'y': 165, 'x': 165}],
'qr_messages': ['rapp project qr sample'],
'error': ''
}
response = self.ch.qrDetection(imagepath)
self.assertEqual(response, valid_results)
def test_detect_qr_erroneous(self):
response = self.ch.qrDetection('')
self.assertNotEqual(response['error'], u'')
response = self.ch.qrDetection(3)
self.assertNotEqual(response['error'], u'')
response = self.ch.qrDetection([])
self.assertNotEqual(response['error'], u'')
class HazardDetectionTests(unittest.TestCase):
def setUp(self):
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
self.ch = RappPlatformAPI()
def test_lightLeftOn(self):
imagepath = path.join(self.pkgDir, 'test_data',
'hazard_detection_samples', 'lamp_on.jpg')
response = self.ch.hazardDetectionLights(imagepath)
self.assertEqual(response['error'], u'')
self.assertEqual(response['light_level'] > 50, True)
def test_erroneousPath(self):
imagepath = path.join(self.pkgDir, 'test_data', 'lamp_on.jpg')
response = self.ch.hazardDetectionLights(imagepath)
self.assertNotEqual(response['error'], u'')
def test_wrongPathType(self):
imagepath = 3
response = self.ch.hazardDetectionLights(imagepath)
self.assertNotEqual(response['error'], u'')
def RappObjectRecCaffe(self, imageString, image):
path = imageORimageString(imageString, image) #path of saved image.
ch = RappPlatformAPI(address=addr)
response = ch.objectRecognitionCaffe(
path) # Use the server's path of the image.
return response
class DenoiseProfileTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
def test_setNoiseProfile(self):
response = self.ch.setNoiseProfile(\
os.path.join(self.pkgDir, 'test_data', 'denoise_source.wav'),
'nao_wav_1_ch'\
)
self.assertEqual(response['error'], u'')
def test_setNoiseProfile_noExistentFile(self):
response = self.ch.setNoiseProfile('vim.exe', 'nao_wav_1_ch')
self.assertNotEqual(response['error'], u'')
def test_setNoiseProfile_wrongFileInputType(self):
response = self.ch.setNoiseProfile(3, 'nao_wav_1_ch')
self.assertNotEqual(response['error'], u'')
def test_setNoiseProfile_wrongAudioTypeInputType(self):
response = self.ch.setNoiseProfile('', [])
self.assertNotEqual(response['error'], u'')
def RappSpeechDetectionGoogle(self, audioString, audioFile, language,
audioSource):
path = audioFileORaudioString(audioString, audioFile)
ch = RappPlatformAPI() ###address = addr
response = ch.speechRecognitionGoogle(path, audioSource, language)
return response
class ObjectRecognitionTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
def test_cat_test(self):
imagepath = path.join(self.pkgDir, 'test_data', 'cat.jpg')
validResponse = {
'object_class': 'boa constrictor, Constrictor constrictor',
'error': ''
}
response = self.ch.objectRecognitionCaffe(imagepath)
self.assertEqual(response, validResponse)
def test_wrongPath(self):
imagepath = path.join(self.pkgDir, '', 'cat.jpg')
response = self.ch.objectRecognitionCaffe(imagepath)
self.assertNotEqual(response['error'], u'')
def test_wrongPathType(self):
imagepath = 3
response = self.ch.objectRecognitionCaffe(imagepath)
self.assertNotEqual(response['error'], u'')
def RappGeolocation(self, IP):
#sys.path.append('../../../Thesis/rapp_portable/rapp-api/python')
ch = RappPlatformAPI() #address = addr
response = ch.geolocation(IP)
if response.get('error') is not "":
abort(500, response.get('error'))
return response
class QrDetectionTests(unittest.TestCase):
def setUp(self):
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
self.ch = RappPlatformAPI()
def test_detect_qr(self):
imagepath = path.join(self.pkgDir, 'test_data', 'qr_code_rapp.jpg')
valid_results = {
'qr_centers': [{
'y': 165,
'x': 165
}],
'qr_messages': ['rapp project qr sample'],
'error': ''
}
response = self.ch.qrDetection(imagepath)
self.assertEqual(response, valid_results)
def test_detect_qr_erroneous(self):
response = self.ch.qrDetection('')
self.assertNotEqual(response['error'], u'')
response = self.ch.qrDetection(3)
self.assertNotEqual(response['error'], u'')
response = self.ch.qrDetection([])
self.assertNotEqual(response['error'], u'')
class HumanDetectionTests(unittest.TestCase):
def setUp(self):
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
self.ch = RappPlatformAPI()
def test_humanDetectionTest(self):
image = path.join(self.pkgDir, 'test_data',
'human_detection_samples', 'NAO_picture_3.png')
valid_humans = [{
'up_left_point': {'y': 30.0, 'x': 48.0},
'down_right_point': {'y': 399.0, 'x': 232.0}
}]
response = self.ch.humanDetection(image)
self.assertEqual(response['error'], u'')
self.assertEqual(response['humans'], valid_humans)
def test_humanDetectionTest_wrongPath(self):
image = path.join(self.pkgDir, '',
'human_detection_samples', 'NAO_picture_3.png')
response = self.ch.humanDetection(image)
self.assertNotEqual(response['error'], u'')
def test_humanDetectionTest_wrongPathType(self):
image = 3
response = self.ch.humanDetection(image)
self.assertNotEqual(response['error'], u'')
def RappLightDetection(self, imageString, image):
path = imageORimageString(imageString, image) #path of saved image.
ch = RappPlatformAPI(address=addr)
response = ch.hazardDetectionLights(
path) # Use the server's path of the image.
return response
def RappText2Speech(self, text, language):
ch = RappPlatformAPI(address=addr)
response = ch.textToSpeech(text, language, RAPPtext2speech_full_path)
f = open(
RAPPtext2speech_full_path, 'r'
) #at RPi: f = open(RAPPtext2speech_full_path).read() #serializable
return f
def __init__(self, creds={}, recipients=[]):
""" Default Constructor."""
self.language = 'el'
self.askValidation = True
self.waitOnAnswer = 5
self.rh = RappRobot()
self.ch = RappPlatformAPI()
self.emailCreds = {'username': '', 'password': ''}
self.__load_email_credentials()
if 'username' in creds:
self.emailCreds['username'] = creds['username']
if 'password' in creds:
self.emailCreds['password'] = creds['password']
print self.emailCreds
if self.emailCreds['username'] == '' or self.emailCreds[
'password'] == '':
self.say(
u'Δεν βρήκα καταχωρημένα τα στοιχεία λογαριασμού ηλεκτρονικού ταχυδρομίου. Παρακαλώ επικοινώνησε με την τεχνική υπηρεσια.'
)
self.rh.humanoid_motion.goToPosture('Sit', 0.5)
sys.exit(1)
self.emailTitle = "NAO SendMail RApp"
self.emailBody = "Hello I am NAO robot :)\n\n" + \
"This is an automated email that the user" + \
" requested to send among with the attachment files!\n\n" + \
"Robots are awesome!! :-)"
self.recipients = recipients
class ObjectRecognitionTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
def test_cat_test(self):
imagepath = path.join(self.pkgDir, 'test_data', 'cat.jpg')
validResponse = {
'object_class': 'boa constrictor, Constrictor constrictor',
'error': ''
}
response = self.ch.objectRecognitionCaffe(imagepath)
self.assertEqual(response, validResponse)
def test_wrongPath(self):
imagepath = path.join(self.pkgDir, '', 'cat.jpg')
response = self.ch.objectRecognitionCaffe(imagepath)
self.assertNotEqual(response['error'], u'')
def test_wrongPathType(self):
imagepath = 3
response = self.ch.objectRecognitionCaffe(imagepath)
self.assertNotEqual(response['error'], u'')
def RappQrDetection(self, imageString, image):
path = imageORimageString(imageString, image) #path of saved image.
ch = RappPlatformAPI() ###############address = addr
response = ch.qrDetection(path) # Use the server's path of the image.
if not response.get('error') == "":
abort(500, response.get('error'))
return response
def __init__(self):
""" Default Constructor."""
self.language = 'el'
self.askValidation = True
self.waitOnAnswer = 5
self.rh = RappRobot()
self.ch = RappPlatformAPI()
self._loc = self.ch.geolocation(Net.ipaddr_connected())
print '[*] Current Location: {0}'.format(self._loc)
def __init__(self):
self.frames = []
self.pa = pyaudio.PyAudio()
self.stream = self.open_mic_stream()
self.tap_threshold, self.noise_threshold = self.calibrate()
self.hear = False
self.ch = RappPlatformAPI()
topic = rospy.get_param("rec_topic")
self.publisher = rospy.Publisher(topic, String, queue_size=10)
def getExercise(test_type="",
test_subtype="",
test_diff="",
test_index=""):
ch = RappPlatformAPI()
response = ch.cognitiveExerciseSelect(test_type=test_type,
test_subtype=test_subtype,
test_diff=test_diff,
test_index=test_index)
if response['error'] != '':
print response['error']
sys.exit(0)
for key, val in response.iteritems():
print key, val
testInstance = response['test_instance']
testType = response['test_type']
testSubType = response['test_subtype']
questions = response['questions']
possibAns = response['possib_ans']
correctAns = response['correct_ans']
language = response['lang']
cogTest = CognitiveTest(testType, testSubType, testInstance, questions,
possibAns, correctAns, language)
if testType == 'ArithmeticCts':
if testSubType == 'BasicArithmeticCts':
return BasicArithmericCts(cogTest)
elif testSubType == 'TimeDifferenceCts':
return TimeDifferenceCts(cogTest)
elif testSubType == 'TransactionChangeCts':
return TransactionChangeCts(cogTest)
else:
return None
elif testType == 'AwarenessCts':
if testSubType == 'TimeDayYearCts':
return TimeDayYearCts(cogTest)
else:
return None
elif testType == 'ReasoningCts':
if testSubType == 'StoryTellingCts':
return StoryTellingCts(cogTest)
elif testSubType == 'WordRememberingCts':
return WordRememberingCts(cogTest)
else:
return None
else:
return None
def setUp(self):
self.ch = RappPlatformAPI()
# Wait till the service is up using an erroneous call for fast return
counter = 0
timeout = 120
while counter < timeout:
counter = counter + 1
res = self.ch.cognitiveExerciseSelect(0)
if res['error'] != u'Connection Error':
break
time.sleep(1)
print 'Waiting for service... ' + str(timeout - counter)
if counter == timeout:
self.assertEqual('Connection error', True)
def RappDoorDetection(self, imageString, image):
path = imageORimageString(imageString, image) #path of saved image.
ch = RappPlatformAPI() #################address = addr
#im=Image.open(image)
#im.save("/home/panos/Desktop/Swagger/finalTest/test_v5/Door.png","PNG", progressive = True) #Path to save the image on the server.
### deinterlacing #
#size=list(im.size)
#size[0] /= 2
#size[1] /= 2
#downsized=im.resize(self, size, Image.NEAREST) # NEAREST drops the lines
#downsized.save("/home/panos/Desktop/Swagger/finalTest/test_v5/Door.png")
#######
response = ch.hazardDetectionDoor(
path) # Use the server's path of the image.
return response
def __init__(self, email_username, email_pass, recipients=[]):
""" Default Constructor."""
self.language = 'el'
self.askValidation = True
self.waitOnAnswer = 5
self.rh = RappRobot()
self.ch = RappPlatformAPI()
self.emailUsername = email_username
self.emailPass = email_pass
self.emailTitle = "NAO SendMail RApp"
self.emailBody = "Hello I am NAO robot :)\n\n" + \
"This is an automated email that the user" + \
" requested to send among with the attachment files!\n\n" + \
"Robots are awesome!! :-)"
self.recipients = recipients
def getExercise(test_type="", test_subtype="",
test_diff="", test_index=""):
ch = RappPlatformAPI()
response = ch.cognitiveExerciseSelect(test_type=test_type,
test_subtype=test_subtype,
test_diff=test_diff,
test_index=test_index)
if response['error'] != '':
print response['error']
sys.exit(0)
for key, val in response.iteritems():
print key, val
testInstance = response['test_instance']
testType = response['test_type']
testSubType = response['test_subtype']
questions = response['questions']
possibAns = response['possib_ans']
correctAns = response['correct_ans']
language = response['lang']
cogTest = CognitiveTest(testType, testSubType, testInstance,
questions, possibAns, correctAns, language)
if testType == 'ArithmeticCts':
if testSubType == 'BasicArithmeticCts':
return BasicArithmericCts(cogTest)
elif testSubType == 'TimeDifferenceCts':
return TimeDifferenceCts(cogTest)
elif testSubType == 'TransactionChangeCts':
return TransactionChangeCts(cogTest)
else:
return None
elif testType == 'AwarenessCts':
if testSubType == 'TimeDayYearCts':
return TimeDayYearCts(cogTest)
else:
return None
elif testType == 'ReasoningCts':
if testSubType == 'StoryTellingCts':
return StoryTellingCts(cogTest)
elif testSubType == 'WordRememberingCts':
return WordRememberingCts(cogTest)
else:
return None
else:
return None
class TextToSpeechTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
def test_greek_test(self):
destFilePath = '/tmp/ttsClient.wav'
response = self.ch.textToSpeech('Καλησπέρα. Είμαι ο ναο', 'el', destFilePath)
self.assertEqual(response['error'], u'')
self.assertEqual(os.path.getsize(destFilePath) > 0, True)
def test_tts_erroneous(self):
destFilePath = '/tmp/ttsClient.wav'
response = self.ch.textToSpeech(3, 'el', destFilePath)
self.assertNotEqual(response['error'], u'')
response = self.ch.textToSpeech([], 'el', destFilePath)
self.assertNotEqual(response['error'], u'')
#response = self.ch.textToSpeech('Καλησπέρα. Είμαι ο ναο', '', destFilePath)
#self.assertNotEqual(response['error'], u'')
response = self.ch.textToSpeech('Καλησπέρα. Είμαι ο ναο', 3, destFilePath)
self.assertNotEqual(response['error'], u'')
response = self.ch.textToSpeech('Καλησπέρα. Είμαι ο ναο', [], destFilePath)
self.assertNotEqual(response['error'], u'')
#response = self.ch.textToSpeech('Καλησπέρα. Είμαι ο ναο', 'el', '')
#self.assertNotEqual(response['error'], u'')
response = self.ch.textToSpeech('Καλησπέρα. Είμαι ο ναο', 'el', [])
self.assertNotEqual(response['error'], u'')
response = self.ch.textToSpeech('Καλησπέρα. Είμαι ο ναο', 'el', 3)
self.assertNotEqual(response['error'], u'')
class SppechDetectionGoogleTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
def test_speechNormal(self):
audioFile = path.join(self.pkgDir, 'test_data',
'speech_detection_samples',
'recording_sentence1.ogg')
valid_words_found = ['I', 'want', 'to', 'go', 'out']
response = self.ch.speechRecognitionGoogle(audioFile, 'nao_ogg', 'en')
self.assertEqual(response['error'], u'')
self.assertEqual(response['words'], valid_words_found)
def test_erroneous(self):
audioFile = path.join(self.pkgDir, 'test_data',
'speech_detection_samples',
'recording_sentence1.ogg')
response = self.ch.speechRecognitionGoogle('', 'nao_ogg', 'en')
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(3, 'nao_ogg', 'en')
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle([], 'nao_ogg', 'en')
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(audioFile, '', 'en')
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(audioFile, 3, 'en')
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(audioFile, [], 'en')
self.assertNotEqual(response['error'], u'')
# response = self.ch.speechRecognitionGoogle(audioFile, 'nao_ogg', 'klklklkl')
# self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(audioFile, 'nao_ogg', '')
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(audioFile, 'nao_ogg', 3)
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(audioFile, 'nao_ogg', [])
self.assertNotEqual(response['error'], u'')
def RappSpeechDetectionSphinx(self,
audioString,
audioFile,
language,
audioSource,
words=None,
sentences=None,
grammar=None):
path = audioFileORaudioString(audioString, audioFile)
ch = RappPlatformAPI(address=addr)
response = ch.speechRecognitionSphinx(path,
language=language,
audio_source=audioSource,
words=words,
sentences=sentences,
grammar=grammar)
#f=open('/home/panos/Desktop/Swagger/finalTest/test_v3/RappGoogle.wav','r')
return response
def __init__(self, cog_test):
""" Constructor """
self.language = cog_test.language
self.audioSource = Constants.AUDIO_SOURCE
self.tempDir = Constants.TEMP_DIR
self.cogTest = cog_test
self.recordTime = 5
self.maxReruns = 3
self.askValidation = True
self.rh = RappRobot()
self.ch = RappPlatformAPI()
self.performance = {
'correct_answers': 0,
'wrong_answers': 0,
'final_score': 0
}
self.print_info()
class SppechDetectionGoogleTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
def test_speechNormal(self):
audioFile = path.join(self.pkgDir, 'test_data',
'speech_detection_samples', 'recording_sentence1.ogg')
valid_words_found = ['I', 'want', 'to', 'go', 'out']
response = self.ch.speechRecognitionGoogle(audioFile, 'nao_ogg', 'en')
self.assertEqual(response['error'], u'')
self.assertEqual(response['words'], valid_words_found)
def test_erroneous(self):
audioFile = path.join(self.pkgDir, 'test_data',
'speech_detection_samples', 'recording_sentence1.ogg')
response = self.ch.speechRecognitionGoogle('', 'nao_ogg', 'en')
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(3, 'nao_ogg', 'en')
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle([], 'nao_ogg', 'en')
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(audioFile, '', 'en')
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(audioFile, 3, 'en')
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(audioFile, [], 'en')
self.assertNotEqual(response['error'], u'')
# response = self.ch.speechRecognitionGoogle(audioFile, 'nao_ogg', 'klklklkl')
# self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(audioFile, 'nao_ogg', '')
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(audioFile, 'nao_ogg', 3)
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionGoogle(audioFile, 'nao_ogg', [])
self.assertNotEqual(response['error'], u'')
def __init__(self):
self.rh = RappRobot()
self.ch = RappPlatformAPI()
rospy.Timer(rospy.Duration(0.1), self.sonarsCallback)
rospy.Timer(rospy.Duration(5), self.qrDetectionCallback)
#self.pub = rospy.Publisher('/inner/sonar_measurements', LaserScan, queue_size=1)
self.pub1 = rospy.Publisher('/inner/qr_detection', RfidSensorMeasurementMsg, queue_size=1)
self.s = rospy.Service('set_object', SetObject, self.setNewObjectCallback)
self.s1 = rospy.Service('get_objects', GetObjects, self.getObjectsCallback)
self.objects = {}
self.static_objects = []
class HumanDetectionTests(unittest.TestCase):
def setUp(self):
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
self.ch = RappPlatformAPI()
def test_humanDetectionTest(self):
image = path.join(self.pkgDir, 'test_data', 'human_detection_samples',
'NAO_picture_3.png')
valid_humans = [{
'up_left_point': {
'y': 30.0,
'x': 48.0
},
'down_right_point': {
'y': 399.0,
'x': 232.0
}
}]
response = self.ch.humanDetection(image)
self.assertEqual(response['error'], u'')
self.assertEqual(response['humans'], valid_humans)
def test_humanDetectionTest_wrongPath(self):
image = path.join(self.pkgDir, '', 'human_detection_samples',
'NAO_picture_3.png')
response = self.ch.humanDetection(image)
self.assertNotEqual(response['error'], u'')
def test_humanDetectionTest_wrongPathType(self):
image = 3
response = self.ch.humanDetection(image)
self.assertNotEqual(response['error'], u'')
class DenoiseProfileTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
def test_setNoiseProfile(self):
response = self.ch.setNoiseProfile(\
os.path.join(self.pkgDir, 'test_data', 'denoise_source.wav'),
'nao_wav_1_ch'\
)
self.assertEqual(response['error'], u'')
def test_setNoiseProfile_noExistentFile(self):
response = self.ch.setNoiseProfile('vim.exe', 'nao_wav_1_ch')
self.assertNotEqual(response['error'], u'')
def test_setNoiseProfile_wrongFileInputType(self):
response = self.ch.setNoiseProfile(3, 'nao_wav_1_ch')
self.assertNotEqual(response['error'], u'')
def test_setNoiseProfile_wrongAudioTypeInputType(self):
response = self.ch.setNoiseProfile('', [])
self.assertNotEqual(response['error'], u'')
def __init__(self, cog_test):
""" Constructor """
self.language = cog_test.language
self.audioSource = Constants.AUDIO_SOURCE
self.tempDir = Constants.TEMP_DIR
self.cogTest = cog_test
self.recordTime = 5
self.maxReruns = 3
self.askValidation = True
self.rh = RappRobot()
self.ch = RappPlatformAPI()
self.performance = {
'correct_answers': 0,
'wrong_answers': 0,
'final_score': 0
}
self.print_info()
class CognitiveTestHistoryTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
def test_historyArithmetic(self):
response = self.ch.cognitiveGetHistory('ArithmeticCts', 0, 100000000)
self.assertEqual(response['error'], u'')
self.assertNotEqual(len(response['records']), 0)
def test_historyReasoning(self):
response = self.ch.cognitiveGetHistory('ReasoningCts', 0, 100000000)
self.assertEqual(response['error'], u'')
self.assertNotEqual(len(response['records']), 0)
def test_historyAwareness(self):
response = self.ch.cognitiveGetHistory('AwarenessCts', 0, 100000000)
self.assertEqual(response['error'], u'')
self.assertNotEqual(len(response['records']), 0)
def test_historyAll(self):
response = self.ch.cognitiveGetHistory('', 0, 100000000)
self.assertEqual(response['error'], u'')
self.assertNotEqual(len(response['records']), 0)
def test_history_wrongType(self):
response = self.ch.cognitiveGetHistory('T', 0, 100000000)
self.assertNotEqual(response['error'], u'')
def test_history_wrongTypeType(self):
response = self.ch.cognitiveGetHistory(0, 0, 100000000)
self.assertNotEqual(response['error'], u'')
def test_history_wrongFromType(self):
response = self.ch.cognitiveGetHistory('', '0', 100000000)
self.assertNotEqual(response['error'], u'')
def test_history_wrongToType(self):
response = self.ch.cognitiveGetHistory('T', 0, '100000000')
self.assertNotEqual(response['error'], u'')
class CognitiveTestHistoryTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
def test_historyArithmetic(self):
response = self.ch.cognitiveGetHistory('ArithmeticCts', 0, 100000000)
self.assertEqual(response['error'], u'')
self.assertNotEqual(len(response['records']), 0)
def test_historyReasoning(self):
response = self.ch.cognitiveGetHistory('ReasoningCts', 0, 100000000)
self.assertEqual(response['error'], u'')
self.assertNotEqual(len(response['records']), 0)
def test_historyAwareness(self):
response = self.ch.cognitiveGetHistory('AwarenessCts', 0, 100000000)
self.assertEqual(response['error'], u'')
self.assertNotEqual(len(response['records']), 0)
def test_historyAll(self):
response = self.ch.cognitiveGetHistory('', 0, 100000000)
self.assertEqual(response['error'], u'')
self.assertNotEqual(len(response['records']), 0)
def test_history_wrongType(self):
response = self.ch.cognitiveGetHistory('T', 0, 100000000)
self.assertNotEqual(response['error'], u'')
def test_history_wrongTypeType(self):
response = self.ch.cognitiveGetHistory(0, 0, 100000000)
self.assertNotEqual(response['error'], u'')
def test_history_wrongFromType(self):
response = self.ch.cognitiveGetHistory('', '0', 100000000)
self.assertNotEqual(response['error'], u'')
def test_history_wrongToType(self):
response = self.ch.cognitiveGetHistory('T', 0, '100000000')
self.assertNotEqual(response['error'], u'')
class CognitiveTestScoresTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
def test_scoresArithmetic(self):
response = self.ch.cognitiveGetScores('ArithmeticCts', 100000000)
self.assertEqual(response['error'], u'')
self.assertEqual(len(response['scores']), 1)
self.assertEqual(len(response['test_classes']), 1)
def test_scoresAwareness(self):
response = self.ch.cognitiveGetScores('AwarenessCts', 100000000)
self.assertEqual(response['error'], u'')
self.assertEqual(len(response['scores']), 1)
self.assertEqual(len(response['test_classes']), 1)
def test_scoresReasoning(self):
response = self.ch.cognitiveGetScores('ReasoningCts', 100000000)
self.assertEqual(response['error'], u'')
self.assertEqual(len(response['scores']), 1)
self.assertEqual(len(response['test_classes']), 1)
def test_scoresAll(self):
response = self.ch.cognitiveGetScores('', 100000000)
self.assertEqual(response['error'], u'')
self.assertEqual(len(response['scores']) > 0, True)
self.assertEqual(len(response['test_classes']) > 0, True)
def test_scoresWrongType(self):
response = self.ch.cognitiveGetScores(3, 100000000)
self.assertNotEqual(response['error'], u'')
def test_scoresWrongTypeList(self):
response = self.ch.cognitiveGetScores([], 100000000)
self.assertNotEqual(response['error'], u'')
def test_scoresWrongType_to(self):
response = self.ch.cognitiveGetScores('', '100000000')
self.assertNotEqual(response['error'], u'')
class CognitiveTestScoresTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
def test_scoresArithmetic(self):
response = self.ch.cognitiveGetScores('ArithmeticCts', 100000000)
self.assertEqual(response['error'], u'')
self.assertEqual(len(response['scores']), 1)
self.assertEqual(len(response['test_classes']), 1)
def test_scoresAwareness(self):
response = self.ch.cognitiveGetScores('AwarenessCts', 100000000)
self.assertEqual(response['error'], u'')
self.assertEqual(len(response['scores']), 1)
self.assertEqual(len(response['test_classes']), 1)
def test_scoresReasoning(self):
response = self.ch.cognitiveGetScores('ReasoningCts', 100000000)
self.assertEqual(response['error'], u'')
self.assertEqual(len(response['scores']), 1)
self.assertEqual(len(response['test_classes']), 1)
def test_scoresAll(self):
response = self.ch.cognitiveGetScores('', 100000000)
self.assertEqual(response['error'], u'')
self.assertEqual(len(response['scores']) > 0, True)
self.assertEqual(len(response['test_classes']) > 0, True)
def test_scoresWrongType(self):
response = self.ch.cognitiveGetScores(3, 100000000)
self.assertNotEqual(response['error'], u'')
def test_scoresWrongTypeList(self):
response = self.ch.cognitiveGetScores([], 100000000)
self.assertNotEqual(response['error'], u'')
def test_scoresWrongType_to(self):
response = self.ch.cognitiveGetScores('', '100000000')
self.assertNotEqual(response['error'], u'')
class SendMail(object):
## Default constructor
def __init__(self, email_username, email_pass, recipients=[]):
""" Default Constructor."""
self.language = 'el'
self.askValidation = True
self.waitOnAnswer = 5
self.rh = RappRobot()
self.ch = RappPlatformAPI()
self.emailUsername = email_username
self.emailPass = email_pass
self.emailTitle = "NAO SendMail RApp"
self.emailBody = "Hello I am NAO robot :)\n\n" + \
"This is an automated email that the user" + \
" requested to send among with the attachment files!\n\n" + \
"Robots are awesome!! :-)"
self.recipients = recipients
def run(self):
try:
self.rh.motion.enableMotors()
self.rh.humanoid_motion.goToPosture('Sit', 0.5)
self.intro()
emails = self.get_available_emails()
self.ask_for_recipients(emails)
recDest = self.phase_record_speech()
imgDest = self.phase_capture_photo()
files = []
if recDest is not None:
files.append(recDest)
if imgDest is not None:
files.append(imgDest)
print files
zipDest = self.make_zip(files)
resp = self.ch.emailSend(self.emailUsername, self.emailPass,
'smtp.gmail.com', '587',
self.recipients, self.emailBody,
self.emailTitle, zipDest)
self.rh.humanoid_motion.goToPosture('Sit', 0.5)
self.rh.motion.disableMotors()
except Exception as e:
print e.message
self.error_termination()
if resp['error'] != '':
print resp['error']
self.say(u'Αποτυχία αποστολής μέιλ.')
self.say(u'Τερματισμός εφαρμογής.')
sys.exit(1)
else:
self.say(u'Το μέιλ στάληκε επιτυχώς')
self.say(u'Τερματισμός εφαρμογής.')
sys.exit(0)
def intro(self):
msg = u'Καλησπέρα. Η εφαρμογή αυτή θα σε καθοδηγήσει στο να φτιάξεις και να στείλεις ένα μέιλ.'
msg += u' Μπορείς να στείλεις ένα ηχογραφημένο ηχητικό μήνυμα, ή και μία φωτογραφία.'
msg += u' Άς ξεκινήσουμε.'
self.say(msg)
def say(self, msg, animated=True):
self.rh.audio.speak(msg, self.language, animated=animated)
def phase_record_speech(self):
msg = u'Θες να ηχογραφήσω ηχητικό μήνυμα?'
self.say(msg)
detected = 'Rerun'
while detected == 'Rerun':
detected = self.detect_yes()
if detected == 'Rerun':
continue
elif detected:
break
elif not detected:
return None
else:
pass
detected = 'Rerun'
msg = u'Επέλεξε διάρκεια ηχογράφησης σε δευτερόλεπτα.'
self.say(msg)
msg = u' Δέκα? Είκοσι? Τριάντα? Σαράντα? Πενήντα? ή Εξήντα?'
self.say(msg)
while detected == 'Rerun':
voc = [
u'δέκα', u'είκοσι', u'τριάντα',
u'σαράντα', u'πενήντα', u'εξήντα'
]
resp = self.rh.audio.speechDetection(voc, self.waitOnAnswer,
self.language)
try:
print 'Detect-Words: word: {0}, probability: {1}, error: {2}'.format(
resp['word'], resp['probability'], resp['error'])
except Exception as e:
print e.message
if resp['error'] or resp['probability'] < 0.4: # Threshold prob
self.rh.audio.speak(u'Δεν άκουσα. Μιλήστε πιο δυνατά παρακαλώ',
self.language, True)
detected = 'Rerun'
continue
elif self.askValidation:
usrAns = self.ask_validation(resp['word'].decode('utf8'))
if not usrAns:
detected = 'Rerun'
self.say(u'Επανέλαβε την απάντηση παρακαλώ.')
continue
break
if resp['word'].decode('utf8').lower() in [u'δέκα', u'δεκα']:
recT = 10
elif resp['word'].decode('utf8').lower() in [u'είκοσι', u'εικοσι']:
recT = 20
elif resp['word'].decode('utf8').lower() in [u'τριάντα', u'τριαντα']:
recT = 30
elif resp['word'].decode('utf8').lower() in [u'σαράντα', u'σαραντα']:
recT = 40
elif resp['word'].decode('utf8').lower() in [u'πενήντα', u'πενηντα']:
recT = 50
elif resp['word'].decode('utf8').lower() in [u'εξήντα', u'εξηντα']:
recT = 60
self.rh.humanoid_motion.goToPosture('Sit', 0.5)
self.say(u'Θα ξεκινήσω την ηχογράφηση σε,', animated=False)
self.say(u'Τρία', animated=False)
time.sleep(1)
self.say(u'Δύο', animated=False)
time.sleep(1)
self.say(u'Ένα', animated=False)
time.sleep(1)
self.say(u'Η ηχογράφηση ξεκίνησε', animated=False)
fDest = self.record(recT)
self.say(u'Τερματισμός ηχογράφησης.', animated=False)
return fDest
def phase_capture_photo(self):
msg = u'Θες να στείλεις φωτογραφία στο μέιλ?'
self.say(msg)
detected = 'Rerun'
while detected == 'Rerun':
detected = self.detect_yes()
if detected == 'Rerun':
continue
elif detected:
break
elif not detected:
return None
else:
pass
self.say(u'Παρακαλώ πάρε θέση μπροστά από εμένα και κοίτα στην κάμερα που βρίσκεται στο κεφάλι μου.')
self.rh.humanoid_motion.goToPosture('Sit', 0.5)
self.say(u'Θα φωτογραφίσω σε,', animated=False)
self.say(u'Τρία', animated=False)
time.sleep(1)
self.say(u'Δύο', animated=False)
time.sleep(1)
self.say(u'Ένα', animated=False)
time.sleep(1)
photoDest = self.take_picture()
self.say(u'Οκ, η φωτογραφία είναι έτοιμη.')
return photoDest
def take_picture(self):
photoDest = "{0}/photo-{1}.{2}".format(Constants.TEMP_DIR,
''.join([str(randint(0, 9)) for p in range(0, 9)]),
'jpg')
self.rh.vision.capturePhoto(photoDest, 'front', '640x480')
return photoDest
def record(self, recordTime):
""" Use this method to record users speech.
@type recordTime: Int
@param recordTime: Duration of the recording in seconds
"""
taskId = self.rh.sensors.rastaLedsOn()
recDest = "{0}/micrec-{1}.{2}".format(Constants.TEMP_DIR,
''.join([str(randint(0, 9)) for p in range(0, 9)]),
'wav')
self.rh.audio.record(recDest, recordTime, 'wav', 16000, [0, 0, 1, 0])
self.rh.sensors.rastaLedsOff(taskId)
return recDest
def error_termination(self):
""" Inform on termination with error."""
self.rh.audio.speak(u'Κατι πήγε λαθος στο σύστημα. Άμεσος τερματισμός!',
self.language, True)
sys.exit(0)
def detect_words(self, possibAns, correctAns, waitT):
""" Detect words given by possible answers and correct answer.
Using the SpeechDetectionSphinx4 Platform service to perform
speech detection.
@param possibAns
@param correctAns
@param waitT
"""
print color.cyan + '----------> Detect Words' + color.clear
print "Words:"
for w in possibAns:
print w.encode("utf-8")
print "ans: " + correctAns.encode("utf-8")
print color.cyan + '<----------------------' + color.clear
for i in range(0, len(possibAns)):
possibAns[i] = possibAns[i].replace(" ", "-")
correctAns = correctAns.replace(" ", "-")
resp = self.rh.audio.speechDetection(possibAns, waitT, self.language)
try:
print 'Detect-Words: word: {0}, probability: {1}, error: {2}'.format(
resp['word'], resp['probability'], resp['error'])
except Exception as e:
print e.message
if resp['error'] or resp['probability'] < 0.4: # Threshold prob
self.rh.audio.speak(u'Δεν άκουσα. Μιλήστε πιο δυνατά παρακαλώ',
self.language, True)
return 'Rerun', '<unk>'
if self.askValidation:
usrAns = self.ask_validation(resp['word'].decode('utf8'))
if not usrAns:
return 'Rerun', '<unk>'
if resp['word'] == correctAns.encode('utf8'):
return True, resp['word'].replace("-", " ")
else:
return False, resp['word'].replace("-", " ")
def detect_yes(self, waitT=5.0):
""" Method to recognize yes/no (ναι/οχι) words."""
if self.language == 'el':
possibAns = [u'ναι', u'οχι']
correctAns = u'ναι'
elif self.language == 'en':
possibAns = ['yes', 'no']
correctAns = 'yes'
else:
pass
resp = self.rh.audio.speechDetection(possibAns, waitT, self.language)
try:
print 'Detect-Yes: word: {0}, probability: {1}, error: {2}'.format(
resp['word'], resp['probability'], resp['error'])
except Exception as e:
print e.message
if resp['error'] or resp['probability'] < 0.4: # Threshold prob
self.rh.audio.speak(u'Δεν άκουσα. Μιλήστε πιο δυνατά παρακαλώ',
self.language, True)
return 'Rerun'
elif resp['word'] == correctAns.encode('utf8'):
return True
else:
return False
def ask_validation(self, ans):
while True:
self.rh.audio.speak(u'Είπατε... %s ?' % ans, self.language, True)
detected = self.detect_yes()
if detected == 'Rerun':
pass
else:
return detected
def make_zip(self, files=[]):
if isinstance(files, list):
if len(files) == 0:
print "No attachment files"
return ''
dest = '{0}/archive.zip'.format(Constants.TEMP_DIR)
zfh = zipfile.ZipFile(dest, 'w')
for idx, val in enumerate(files):
zfh.write(val, path.basename(val))
zfh.printdir()
zfh.close()
return dest
else:
raise TypeError('Argument files must be of type list')
return None
def get_available_emails(self):
resp = self.ch.userPersonalInfo()
emails = resp['emails']
if len(emails) == 0:
self.say(u'Ο συγκεκριμένος χρήστης δεν έχει καταχωρημένες διευθύνσεις αποστολής ηλεκτρονικών μηνυμάτων.')
self.say(u'Τερματισμός εφαρμογής')
sys.exit(1)
return emails
def ask_for_recipients(self, emails):
while True:
for idx, val in enumerate(emails):
msg = u'Να προσθέσω τον χρήστη {0} στην λίστα με τους παραλήπτες?'.format(emails[idx]['user'])
self.say(msg)
detected = 'Rerun'
while detected == 'Rerun':
detected = self.detect_yes()
if detected == 'Rerun':
continue
elif detected:
self.recipients.append(emails[idx]['email_address'])
elif not detected:
break
else:
pass
if len(self.recipients) == 0:
self.say('Παρακαλώ επέλεξε τουλάχιστον ένα παραλήπτη')
else:
break
print self.recipients
class CognitiveExercise(object):
""" Cognitive Exercises Base Class."""
def __init__(self, cog_test):
""" Constructor """
self.language = cog_test.language
self.audioSource = Constants.AUDIO_SOURCE
self.tempDir = Constants.TEMP_DIR
self.cogTest = cog_test
self.recordTime = 5
self.maxReruns = 3
self.askValidation = True
self.rh = RappRobot()
self.ch = RappPlatformAPI()
self.performance = {
'correct_answers': 0,
'wrong_answers': 0,
'final_score': 0
}
self.print_info()
def run(self):
""" Execute this cognitive exercise application. """
try:
self.rh.motion.enableMotors()
self.rh.humanoid_motion.goToPosture("Sit", 0.5)
self.intro()
self.pronounce_questions()
ex = self.score()
self.rh.humanoid_motion.goToPosture("Sit", 0.5)
self.rh.motion.disableMotors()
except Exception as e:
print e.message
self.error_termination()
if ex:
sys.exit(0) # Process exit success status
else:
sys.exit(1) # Process exit error status
def record_voice(self, recordTime):
""" Use this method to record users speech.
@type recordTime: Int
@param recordTime: Duration of the recording in seconds
"""
taskId = self.rh.sensors.rastaLedsOn()
recDest = "{0}/micrec-{1}.{2}".format(Constants.TEMP_DIR,
''.join([str(randint(0, 9)) for p in range(0, 9)]),
'wav')
self.rh.audio.record(recDest, recordTime, 'wav', 16000, [0, 0, 1, 0])
self.rh.sensors.rastaLedsOff(taskId)
return recDest
def error_termination(self):
""" Inform on termination with error."""
self.rh.audio.speak(u'Κατι πήγε λαθος στο σύστημα. Άμεσος τερματισμός!',
self.language, True)
sys.exit(0)
def detect_words(self, language, possibAns, correctAns, waitT):
""" Detect words given by possible answers and correct answer.
Using the SpeechDetectionSphinx4 Platform service to perform
speech detection.
@param language
@param possibAns
@param correctAns
@param waitT
"""
print color.cyan + '----------> Detect Words' + color.clear
print "Words:"
for w in possibAns:
print w.encode("utf-8")
print "ans: " + correctAns.encode("utf-8")
print color.cyan + '<----------------------' + color.clear
for i in range(0, len(possibAns)):
possibAns[i] = possibAns[i].replace(" ", "-")
correctAns = correctAns.replace(" ", "-")
resp = self.rh.audio.speechDetection(possibAns, waitT, self.language)
try:
print 'Detect-Words: word: {0}, probability: {1}, error: {2}'.format(
resp['word'], resp['probability'], resp['error'])
except Exception as e:
print e.message
if resp['error'] or resp['probability'] < 0.4: # Threshold prob
self.rh.audio.speak(u'Δεν άκουσα. Μιλήστε πιο δυνατά παρακαλώ',
self.language, True)
return 'Rerun', '<unk>'
if self.askValidation:
usrAns = self.ask_validation(resp['word'].decode('utf8'))
if not usrAns:
return 'Rerun', '<unk>'
if resp['word'] == correctAns.encode('utf8'):
return True, resp['word'].replace("-", " ")
else:
return False, resp['word'].replace("-", " ")
def intro(self):
"""Intro to cognitive exercises."""
self.rh.audio.speak(u'Ας ξεκινήσουμε τα παιχνίδια γνώσεων',
self.language, True)
# TODO inform user on selected exercise class.
# self.tts(u'Η κατηγορία ασκήσεων είναι... ' + )
flag = False
waitOnAnswer = 3 # seconds
while not flag:
self.rh.audio.speak(u'Εισαι ετοιμος για να ξεκινήσουμε το παιχνίδι?',
self.language, True)
detected = self.detect_yes(self.language, waitOnAnswer)
if detected == 'Rerun':
pass
elif detected:
self.rh.audio.speak(u'Τέλεια! Ας ξεκινήσουμε.', self.language,
True)
flag = True
elif not detected:
self.rh.audio.speak(u'Τερματισμός ασκήσεων γνώσης.',
self.language, True)
sys.exit(0)
else:
pass
def print_info(self):
"""Print Selected cognitive exercise general information."""
print color.ok + "\n" + \
'**************************************************' + '\n' + \
'******** [Cognitive Exercises Information] *******' + '\n' + \
'**************************************************' + '\n' + \
color.clear + color.yellow + '\n' + \
'- [Test type]: ' + color.clear + self.cogTest.testType + \
color.yellow + '\n\n' + \
'- [Test Instance]: ' + color.clear + self.cogTest.instance + \
color.yellow + '\n\n' + \
'- [Test SubType]: ' + color.clear + self.cogTest.testSubType + \
color.yellow + '\n\n' + \
'- [Questions]:' + color.clear
for q in self.cogTest.questions:
print ' %s] ' % (self.cogTest.questions.index(q) + 1) + \
q.encode('utf8')
print color.yellow + '\n' + '- [Possible Answers]: ' + color.clear
for outer in self.cogTest.possibAns:
qIndex = self.cogTest.possibAns.index(outer)
print ' * Question #%s: %s' % (
qIndex, self.cogTest.questions[qIndex].encode('utf8'))
for a in outer:
aIndex = outer.index(a)
print ' %s] ' % (aIndex) + a.encode('utf-8')
print color.yellow + '\n' + '- [Correct Answers]' + color.clear
for ca in self.cogTest.correctAns:
print ' * Question #%s: %s' % \
(self.cogTest.correctAns.index(ca), ca.encode('utf-8'))
print color.ok + "\n" + \
'**************************************************' + '\n' + \
'**************************************************' + '\n' + \
color.clear
def print_score_info(self):
""" Print final performance results. """
print color.ok + "\n" + \
'**************************************************' + '\n' + \
'********** [Cognitive Exercises Results] *********' + '\n' + \
'**************************************************' + '\n' + \
color.clear
print color.success + '[Correct Answers]: ' + color.cyan + \
str(self.performance['correct_answers']) + color.clear + '\n'
print color.success + '[Wrong Answers]: ' + color.cyan + \
str(self.performance['wrong_answers']) + color.clear + '\n'
print color.yellow + '[Final Score]: ' + color.cyan + \
str(self.performance['final_score']) + color.clear
def score(self):
"""
Calculate final score, pronounce it and send to the Cloud to
record user's performance under the ontology.
"""
numQ = len(self.cogTest.questions)
self.performance['final_score'] = 100.0 * \
self.performance['correct_answers'] / numQ
self.print_score_info()
self.rh.audio.speak(u'Το σκορ είναι', self.language, True)
msg = u'%s σωστές απαντήσεις από τις %s ερωτήσεις' % \
(self.performance['correct_answers'], numQ)
self.rh.audio.speak(msg, self.language, True)
time.sleep(1)
# --------------------------------------------------------------------
# Call this Platform service in order to record users performance
taskId = self.rh.sensors.randomEyesOn()
response = self.ch.cognitiveRecordPerformance(
test_instance=self.cogTest.instance,
score=self.performance['final_score'])
self.rh.sensors.randomEyesOff(taskId)
# --------------------------------------------------------------------
if response['error']:
print response['error']
msg = u'Αποτυχία εγγραφής του τελικού σκορ'
self.rh.audio.speak(msg, self.language, True)
return False
else:
msg = u'Το σκορ σας καταγράφηκε στο σύστημα'
self.rh.audio.speak(msg, self.language, True)
return True
def detect_yes(self, language, waitT=5.0):
""" Method to recognize yes/no (ναι/οχι) words."""
if language == 'el':
possibAns = [u'ναι', u'οχι']
correctAns = u'ναι'
elif language == 'en':
possibAns = ['yes', 'no']
correctAns = 'yes'
else:
pass
resp = self.rh.audio.speechDetection(possibAns, waitT, self.language)
try:
print 'Detect-Yes: word: {0}, probability: {1}, error: {2}'.format(
resp['word'], resp['probability'], resp['error'])
except Exception as e:
print e.message
if resp['error'] or resp['probability'] < 0.4: # Threshold prob
self.rh.audio.speak(u'Δεν άκουσα. Μιλήστε πιο δυνατά παρακαλώ',
self.language, True)
return 'Rerun'
elif resp['word'] == correctAns.encode('utf8'):
return True
else:
return False
def pronounce_questions(self):
""" Core of the Exercise execution.
- Pronounce questions.
- Capture answers.
- Recognise answer based on Platform's Speech-Recognition service.
- Validate answer.
"""
waitOnAnswer = 5 # Seconds
numQ = len(self.cogTest.questions)
self.rh.audio.speak(u'Έχω ετοιμάσει %s ερωτήσεις' % numQ,
self.language, True)
time.sleep(1)
self.rh.audio.speak(u'Ας ξεκινήσουμε τις ερωτήσεις', self.language,
True)
for i in range(0, numQ):
reruns = 0
detected = 'Rerun'
self.rh.audio.speak(u'Ερώτηση %s' % (i+1), self.language, True)
# time.sleep(1)
self.rh.audio.speak(self.cogTest.questions[i], self.language, True)
# time.sleep(1)
possAns = self.cogTest.possibAns[i]
correctAns = self.cogTest.correctAns[i]
while detected == 'Rerun':
detected, wordDetected = self.detect_words(self.language,
possAns,
correctAns,
waitOnAnswer)
if detected == 'Rerun':
reruns = reruns + 1
if reruns == self.maxReruns:
self.rh.audio.speak(
u'{0} αποτυχημένες προσπάθειες.'.format(reruns),
self.language, True)
self.ask_random_ans(possAns, correctAns)
break # Break while loop
else:
# Rerun
self.rh.audio.speak(
u'Επανέλαβε την απάντηση παρακαλώ.', self.language,
True)
elif detected:
self.performance['correct_answers'] += 1
self.rh.audio.speak(u'Σωστό!', self.language, True)
elif not detected:
self.performance['wrong_answers'] += 1
self.rh.audio.speak(u'Λάθος απάντηση', self.language, True)
else:
pass
def ask_random_ans(self, possAns, correctAns):
randAns = possAns[randint(0, len(possAns) - 1)]
isValid = True if \
randAns.encode('utf8') == correctAns.encode('utf8') else False
while True:
self.rh.audio.speak(u'Είναι η σωστή απάντηση ... %s ?' % randAns,
self.language, True)
detected = self.detect_yes(self.language, self.recordTime)
if detected == 'Rerun':
self.rh.audio.speak(u'Επανάληψη.', self.language, True)
pass
elif detected == isValid:
self.performance['correct_answers'] += 1
self.rh.audio.speak(u'Σωστό!', self.language, True)
return True
else:
self.performance['wrong_answers'] += 1
self.rh.audio.speak(u'Λάθος απάντηση', self.language, True)
return False
def ask_validation(self, ans):
while True:
self.rh.audio.speak(u'Είπατε... %s ?' % ans, self.language, True)
detected = self.detect_yes(self.language, self.recordTime)
if detected == 'Rerun':
pass
else:
return detected
class SpeechDetectionSphinxTests(unittest.TestCase):
def setUp(self):
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
self.ch = RappPlatformAPI()
def test_ogg_oxi(self):
audioFile = path.join(self.pkgDir, 'test_data',
'speech_detection_samples', 'recording_oxi.ogg')
response = self.ch.speechRecognitionSphinx(audioFile, 'nao_ogg', 'el',\
[u'ναι', u'οχι'])
valid_words_found = [u'οχι']
self.assertEqual(response['error'], u'')
self.assertEqual(response['words'], valid_words_found)
def test_ogg_no(self):
audioFile = path.join(self.pkgDir, 'test_data',
'speech_detection_samples', 'recording_no.ogg')
response = self.ch.speechRecognitionSphinx(audioFile, 'nao_ogg', 'en',\
[u'yes', u'no'])
valid_words_found = [u'no']
self.assertEqual(response['error'], u'')
self.assertEqual(response['words'], valid_words_found)
def test_wav_1_ch_yes_no(self):
audioFile = path.join(self.pkgDir, 'test_data',
'yes-no.wav')
response = self.ch.speechRecognitionSphinx(audioFile, 'nao_wav_1_ch', 'en',\
[u'yes', u'no'])
valid_words_found = [u'yes', u'no']
self.assertEqual(response['error'], u'')
self.assertEqual(response['words'], valid_words_found)
def test_wav_1_ch_nai_oxi(self):
audioFile = path.join(self.pkgDir, 'test_data',
'nai-oxi-test.wav')
response = self.ch.speechRecognitionSphinx(audioFile, 'nao_wav_1_ch', 'el',\
[u'ναι', u'οχι', u'ισως'])
valid_words_found = [u'ναι', u'οχι', u'ισως']
self.assertEqual(response['error'], u'')
self.assertEqual(response['words'], valid_words_found)
def test_headset_nai_oxi(self):
audioFile = path.join(self.pkgDir, 'test_data',
'microphone_nai.wav')
response = self.ch.speechRecognitionSphinx(audioFile, 'headset', 'el',\
[u'ναι', u'οχι'])
valid_words_found = [u'ναι']
self.assertEqual(response['error'], u'')
self.assertEqual(response['words'], valid_words_found)
def test_speech_erroneous(self):
audioFile = path.join(self.pkgDir, 'test_data', 'microphone_nai.wav')
response = self.ch.speechRecognitionSphinx('', 'headset', 'el', [u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx([], 'headset', 'el', [u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(3, 'headset', 'el', [u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, '', 'el', [u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, [], 'el', [u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, 3, 'el', [u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, 'headset', '', [u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, 'headset', [], [u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, 'headset', 3, [u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, 'headset', 'el', 3)
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, 'headset', 'el', '')
self.assertNotEqual(response['error'], u'')
if head_yaw < -limit:
joints = ["RShoulderRoll", "RShoulderPitch", "RElbowRoll"]
head_yaw = -head_yaw
# Else the Left is selected
else:
joints = ["LShoulderRoll", "LShoulderPitch", "LElbowRoll"]
# Give the command to the hand
rh.humanoid_motion.setJointAngles(
joints,
[head_yaw, head_pitch, -0.0349],
0.2)
# Create an object in order to call the desired functions
rh = RappRobot()
ch = RappPlatformAPI()
home = expanduser("~") + '/Pictures/'
rh.audio.speak('I will scan for objects')
objects = {}
qr_messages = []
global_counter = 0
# Loop to perform search in 9 directions
for i in range(0, 3):
for j in range(0, 3):
global_counter += 1
class CognitiveTestChooserTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
# Wait till the service is up using an erroneous call for fast return
counter = 0
timeout = 120
while counter < timeout:
counter = counter + 1
res = self.ch.cognitiveExerciseSelect(0)
if res['error'] != u'Connection Error':
break
time.sleep(1)
print 'Waiting for service... ' + str(timeout - counter)
if counter == timeout:
self.assertEqual('Connection error', True)
def test_selectArithmeticTest(self):
res = self.ch.cognitiveExerciseSelect('ArithmeticCts', 'TransactionChangeCts', '1', '1')
self.assertEqual(res['error'], u"")
self.assertNotEqual(res['test_instance'], u"")
self.assertNotEqual(res['test_type'], u"")
self.assertNotEqual(res['test_subtype'], u"")
self.assertNotEqual(res['questions'], u"")
self.assertNotEqual(res['possib_ans'], u"")
self.assertNotEqual(res['correct_ans'], u"")
def test_selectArithmeticTest_default_params(self):
res = self.ch.cognitiveExerciseSelect('ArithmeticCts')
self.assertEqual(res['error'], u"")
self.assertNotEqual(res['test_instance'], u"")
self.assertNotEqual(res['test_type'], u"")
self.assertNotEqual(res['test_subtype'], u"")
self.assertNotEqual(res['questions'], u"")
self.assertNotEqual(res['possib_ans'], u"")
self.assertNotEqual(res['correct_ans'], u"")
def test_selectAwarenessTest(self):
res = self.ch.cognitiveExerciseSelect('AwarenessCts')
self.assertEqual(res['error'], u"")
self.assertNotEqual(res['test_instance'], u"")
self.assertNotEqual(res['test_type'], u"")
self.assertNotEqual(res['test_subtype'], u"")
self.assertNotEqual(res['questions'], u"")
self.assertNotEqual(res['possib_ans'], u"")
self.assertNotEqual(res['correct_ans'], u"")
def test_selectReasoningTest(self):
res = self.ch.cognitiveExerciseSelect('ReasoningCts')
self.assertEqual(res['error'], u"")
self.assertNotEqual(res['test_instance'], u"")
self.assertNotEqual(res['test_type'], u"")
self.assertNotEqual(res['test_subtype'], u"")
self.assertNotEqual(res['questions'], u"")
self.assertNotEqual(res['possib_ans'], u"")
self.assertNotEqual(res['correct_ans'], u"")
def test_selectNotExistentTest(self):
res = self.ch.cognitiveExerciseSelect('KoukouroukouCts')
self.assertNotEqual(res['error'], u"")
def test_selectWrongType_TestType(self):
res = self.ch.cognitiveExerciseSelect(3)
self.assertNotEqual(res['error'], u"")
def test_selectWrongType_TestSubtype(self):
res = self.ch.cognitiveExerciseSelect('ArithmeticCts', 3)
self.assertNotEqual(res['error'], u"")
def test_selectWrongType_TestDiff(self):
res = self.ch.cognitiveExerciseSelect('ArithmeticCts', '', 4)
self.assertNotEqual(res['error'], u"")
def test_selectWrongType_TestIndex(self):
res = self.ch.cognitiveExerciseSelect('ArithmeticCts', '', '1', 3)
self.assertNotEqual(res['error'], u"")
def setUp(self):
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
self.ch = RappPlatformAPI()
def RappWeatherCurrent(self, city, weatherReporter, metric):
ch = RappPlatformAPI() #########address = addr
response = ch.weatherReportCurrent(city, weatherReporter, metric)
return response
class PathPlanningTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
def test_plan_2d(self):
testDatapath = path.join(self.pkgDir, 'test_data', 'path_planning')
poseStart = {
'header':{
'seq': 0, 'stamp':{'sec': 0, 'nsecs': 0}, 'frame_id': ''
},
'pose': {
'position': {'x': 1, 'y': 1, 'z': 0},
'orientation': {'x': 0, 'y': 0, 'z': 0, 'w': 0}
}
}
poseGoal = {
'header':{
'seq': 0, 'stamp':{'sec': 0, 'nsecs': 0}, 'frame_id': ''
},
'pose': {
'position': {'x': 5.3, 'y': 4, 'z': 0},
'orientation': {'x': 0, 'y': 0, 'z': 20, 'w': 0}
}
}
yamlFile = path.join(testDatapath, '523_m_obstacle_2.yaml')
pngFile = path.join(testDatapath, '523_m_obstacle_2.png')
map_name='523_m_obstacle_2'
resp = self.ch.pathPlanningUploadMap(map_name, pngFile, yamlFile)
self.assertEqual(resp['error'], u'')
resp = self.ch.pathPlanningPlan2D(map_name, 'NAO', poseStart,\
poseGoal)
self.assertEqual(resp['error'], u'')
self.assertEqual(resp['plan_found'], 0)
def test_plan_2d_erroneous(self):
testDatapath = path.join(self.pkgDir, 'test_data', 'path_planning')
poseStart = {
'pose': {
'position': {'x': 1, 'y': 1, 'z': 0},
'orientation': {'x': 0, 'y': 0, 'z': 0, 'w': 0}
}
}
poseGoal = {
'pose': {
'position': {'x': 5.3, 'y': 4, 'z': 0},
'orientation': {'x': 0, 'y': 0, 'z': 20, 'w': 0}
}
}
yamlFile = path.join(testDatapath, '523_m_obstacle_2.yaml')
pngFile = path.join(testDatapath, '523_m_obstacle_2.png')
map_name='523_m_obstacle_2'
resp = self.ch.pathPlanningUploadMap(map_name, pngFile, yamlFile)
self.assertEqual(resp['error'], u'')
resp = self.ch.pathPlanningPlan2D('', 'NAO', poseStart, poseGoal)
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningPlan2D(4, 'NAO', poseStart, poseGoal)
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningPlan2D(map_name, 3, poseStart, poseGoal)
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningPlan2D(map_name, [], poseStart, poseGoal)
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningPlan2D(map_name, 'NAO', 0, poseGoal)
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningPlan2D(map_name, 'NAO', poseStart, 0)
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningPlan2D(map_name, 'NAO', [], poseGoal)
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningPlan2D(map_name, 'NAO', poseStart, [])
self.assertNotEqual(resp['error'], u'')
def test_upload_map(self):
testDatapath = path.join(self.pkgDir, 'test_data', 'path_planning')
yamlFile = path.join(testDatapath, '523_m_obstacle_2.yaml')
pngFile = path.join(testDatapath, '523_m_obstacle_2.png')
map_name='523_m_obstacle_2'
resp = self.ch.pathPlanningUploadMap(map_name, pngFile, yamlFile)
self.assertEqual(resp['error'], u'')
def test_upload_map_erroneous(self):
testDatapath = path.join(self.pkgDir, 'test_data', 'path_planning')
yamlFile = path.join(testDatapath, '523_m_obstacle_2.yaml')
pngFile = path.join(testDatapath, '523_m_obstacle_2.png')
map_name='523_m_obstacle_2'
resp = self.ch.pathPlanningUploadMap(map_name, '', yamlFile)
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningUploadMap(map_name, pngFile, '')
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningUploadMap(map_name, 3, yamlFile)
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningUploadMap(map_name, [], yamlFile)
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningUploadMap(map_name, pngFile, 3)
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningUploadMap(map_name, pngFile, [])
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningUploadMap(3, pngFile, yamlFile)
self.assertNotEqual(resp['error'], u'')
resp = self.ch.pathPlanningUploadMap([], pngFile, yamlFile)
self.assertNotEqual(resp['error'], u'')
def setUp(self):
self.ch = RappPlatformAPI()
class CognitiveTestRecordTests(unittest.TestCase):
def setUp(self):
self.ch = RappPlatformAPI()
def test_recordReasoning(self):
response = self.ch.cognitiveExerciseSelect('ReasoningCts')
self.assertEqual(response['error'], u'')
self.assertNotEqual(response['test_instance'], u'')
instance = response['test_instance']
response = self.ch.cognitiveRecordPerformance(instance, 50)
self.assertEqual(
'CognitiveTestPerformed' in response['performance_entry'], True)
def test_recordAwareness(self):
response = self.ch.cognitiveExerciseSelect('AwarenessCts')
self.assertEqual(response['error'], u'')
self.assertNotEqual(response['test_instance'], u'')
instance = response['test_instance']
response = self.ch.cognitiveRecordPerformance(instance, 50)
self.assertEqual(
'CognitiveTestPerformed' in response['performance_entry'], True)
def test_recordArithmetic(self):
response = self.ch.cognitiveExerciseSelect('ArithmeticCts')
self.assertEqual(response['error'], u'')
self.assertNotEqual(response['test_instance'], u'')
instance = response['test_instance']
response = self.ch.cognitiveRecordPerformance(instance, 50)
self.assertEqual(
'CognitiveTestPerformed' in response['performance_entry'], True)
def test_recordWrongType(self):
response = self.ch.cognitiveExerciseSelect('ArithmeticCts')
self.assertEqual(response['error'], u'')
self.assertNotEqual(response['test_instance'], u'')
instance = response['test_instance']
response = self.ch.cognitiveRecordPerformance(3, 50)
self.assertNotEqual(response['error'], u'')
def test_recordWrongScoreType(self):
response = self.ch.cognitiveExerciseSelect('ArithmeticCts')
self.assertEqual(response['error'], u'')
self.assertNotEqual(response['test_instance'], u'')
instance = response['test_instance']
response = self.ch.cognitiveRecordPerformance(instance, '200')
self.assertNotEqual(response['error'], u'')
def test_recordWrongScoreValues(self):
response = self.ch.cognitiveExerciseSelect('ArithmeticCts')
self.assertEqual(response['error'], u'')
self.assertNotEqual(response['test_instance'], u'')
instance = response['test_instance']
response = self.ch.cognitiveRecordPerformance(instance, 200)
self.assertNotEqual(response['error'], u'')
response = self.ch.cognitiveRecordPerformance(instance, -200)
self.assertNotEqual(response['error'], u'')
def setUp(self):
self.ch = RappPlatformAPI()
class NaoInterface:
def __init__(self):
self.rh = RappRobot()
self.ch = RappPlatformAPI()
rospy.Timer(rospy.Duration(0.1), self.sonarsCallback)
rospy.Timer(rospy.Duration(5), self.qrDetectionCallback)
#self.pub = rospy.Publisher('/inner/sonar_measurements', LaserScan, queue_size=1)
self.pub1 = rospy.Publisher('/inner/qr_detection', RfidSensorMeasurementMsg, queue_size=1)
self.s = rospy.Service('set_object', SetObject, self.setNewObjectCallback)
self.s1 = rospy.Service('get_objects', GetObjects, self.getObjectsCallback)
self.objects = {}
self.static_objects = []
def sonarsCallback(self, event):
sonars = self.rh.sensors.getSonarsMeasurements()['sonars']
laser_msg = LaserScan()
laser_msg.ranges.append(sonars['front_right'])
laser_msg.ranges.append(sonars['front_left'])
laser_msg.range_max = 1.00
laser_msg.angle_increment = 0.785398185253
laser_msg.angle_min = -0.392699092627
self.pub.publish(laser_msg)
def qrDetectionCallback(self, event):
print "QrDetection"
rospack = rospkg.RosPack()
img_path = rospack.get_path('nao_localization') + "/cfg/nao_capture.jpg"
self.rh.vision.capturePhoto("/home/nao/test.jpg", "front", "640x480")
print img_path
self.rh.utilities.moveFileToPC("/home/nao/test.jpg", img_path)
#svc = QrDetection(imageFilepath="/home/chrisa/test.jpg")
response = self.ch.qrDetection(img_path)
print response
print response['qr_messages']
if "Localization" in response['qr_messages']:
qr_msg = RfidSensorMeasurementMsg()
qr_msg.rfid_tags_ids.append(response['qr_messages'])
self.pub1.publish(qr_msg)
head_yaw = self.rh.humanoid_motion.getJointAngles(["HeadYaw"])['angles'][0]
print head_yaw
def setNewObjectCallback(self, req):
print "setNewObjectCallback"
print req
self.objects[req.object.message] = req.object
res = SetObjectResponse()
res.success = True
return res
def getObjectsCallback(self, req):
res = GetObjectsResponse()
if req.localization_type == "dynamic":
for i in range(0, len(self.objects)):
obj = ObjectMsg()
obj.x = self.objects.values()[i].x
obj.y = self.objects.values()[i].y
obj.message = self.objects.values()[i].message
obj.type = self.objects.values()[i].type
if req.object_type == self.objects.values()[i].type or req.object_type == "all" or req.object_type == "":
if obj.message in res.objects:
continue
res.objects.append(obj)
elif req.localization_type == "static":
for i in range(0, len(self.static_objects)):
obj = ObjectMsg()
obj.x = static_objects[i].x
obj.y = static_objects[i].y
obj.message = static_objects[i].message
obj.type = static_objects[i].type
res.objects.append(obj)
elif req.localization_type == "all":
for i in range(0, len(self.objects)):
obj = ObjectMsg()
obj.x = self.objects.values()[i].x
obj.y = self.objects.values()[i].y
obj.message = self.objects.values()[i].message
obj.type = self.objects.values()[i].type
if req.object_type == self.objects.values()[i].type or req.object_type == "all" or req.object_type == "":
if obj.message in res.objects:
continue
res.objects.append(obj)
for i in range(0, len(self.static_objects)):
obj = ObjectMsg()
obj.x = static_objects[i].x
obj.y = static_objects[i].y
obj.message = static_objects[i].message
obj.type = static_objects[i].type
res.objects.append(obj)
else:
print "No such type"
res.success = True
print res.objects
return res
class WeatherReport(object):
## Default constructor
def __init__(self):
""" Default Constructor."""
self.language = 'el'
self.askValidation = True
self.waitOnAnswer = 5
self.rh = RappRobot()
self.ch = RappPlatformAPI()
self._loc = self.ch.geolocation(Net.ipaddr_connected())
print '[*] Current Location: {0}'.format(self._loc)
def run(self):
try:
self.rh.motion.enableMotors()
self.rh.humanoid_motion.goToPosture('Sit', 0.5)
mode = self._mode_selection()
if mode == 'current':
self._mode_current()
elif mode == 'forecast':
self._mode_forecast()
self.say(u'Τερματισμός εφαρμογής')
self.rh.humanoid_motion.goToPosture('Sit', 0.5)
self.rh.motion.disableMotors()
except Exception as e:
print e
self.error_termination()
def _mode_selection(self):
msg = u'Μπορείς να επιλέξεις μεταξύ'
msg += u' της σημερινής και της εβδομαδιαίας πρόβλεψης του καιρού. '
msg += u'Πείτε ένα για επιλογή της σημερινής πρόβλεψης'
msg += u', ή δύο για την εβδομαδιαία.'
self.say(msg)
detected = 'Rerun'
while detected == 'Rerun':
voc = [u'σημερινή', u'εβδομαδιαία', u'ένα', u'δύο']
resp = self.rh.audio.speechDetection(voc, self.waitOnAnswer,
self.language)
try:
print 'Detect-Words: word: {0}, probability: {1}, error: {2}'.format(
resp['word'], resp['probability'], resp['error'])
except Exception as e:
print e
if resp['error'] or resp['probability'] < 0.4: # Threshold prob
self.rh.audio.speak(u'Δεν άκουσα. Μιλήστε πιο δυνατά παρακαλώ',
self.language, True)
detected = 'Rerun'
continue
elif self.askValidation:
usrAns = self.ask_validation(resp['word'].decode('utf8'))
if not usrAns:
detected = 'Rerun'
self.say(u'Επανέλαβε την απάντηση παρακαλώ.')
continue
break
if resp['word'].decode('utf8').lower() in [u'σημερινη', u'σημερινή',
u'ένα', u'ενα']:
return 'current'
elif resp['word'].decode('utf8').lower() in [u'εβδομαδιαία',
u'εβδομαδιαια', u'δύο',
u'δυο']:
return 'forecast'
def _mode_current(self):
report = self.ch.weatherReportCurrent(self._loc['city'], metric=1)
if len(report['error']) != 0:
self.error_termination()
print "[*] Current Weather Report: {0}".format(report)
date = self._timestamp_to_date(int(report['date']))
self.say('Η πρόβλεψη του καιρού για τις {0} {1}, ώρα {2}, είναι:'.format(
date['day'], date['month'].encode('utf8'), date['hour']))
self.say(u'Θερμοκρασία: {0} βαθμούς κελσίου'.format(
report['temperature'].encode('utf8').replace(u'.', u' κόμμα ')))
if report['wind_speed'] != u'':
self.say(u'Ταχύτητα ανέμου: {0} {1}'.format(
report['wind_speed'].encode('utf8').replace(
u'.', u' κόμμα '), u'χιλιόμετρα το δευτερόλεπτο'))
if report['visibility'] != u'':
self.say(u'Ορατότητα: Μέχρι τα {0} {1}'.format(
report['visibility'].encode('utf8').replace(u'.', u' κόμμα '),
u'χιλιόμετρα'))
if report['humidity'] != u'':
self.say(u'Επίπεδα υγρασίας : {0} {1}'.format(
int(float(report['humidity']) * 100), u'τοις εκατό'))
if report['pressure'] != u'':
self.say(u'Ατμοσφερική πίεση: {0} {1}'.format(
report['pressure'].encode('utf8').replace(u'.', u' κόμμα '),
u'πασκάλ'))
def _mode_forecast(self):
resp = self.ch.weatherReportForecast(self._loc['city'], metric=1)
if len(resp['error']) != 0:
self.error_termination()
reports = sorted(resp['forecast'], key=lambda k: k['date'])
for idx, val in enumerate(reports):
print "[*] Forecast Report: {0}".format(val)
date = self._timestamp_to_date(int(val['date']))
self.say('Η πρόβλεψη του καιρού για τις {0} {1}, είναι:'.format(
date['day'], date['month'].encode('utf8')))
self.say(u'Υψηλότερη θερμοκρασία: {0} βαθμούς κελσίου'.format(
val['high_temp'].encode('utf8').replace(u'.', u' κόμμα ')))
self.say(u'Χαμηλότερη θερμοκρασία: {0} βαθμούς κελσίου'.format(
val['low_temp'].encode('utf8').replace(u'.', u' κόμμα ')))
def _timestamp_to_date(self, ts):
d = datetime.fromtimestamp(ts).strftime('%d, %B, %H:%M:%S').split(',')
return {
'day': d[0].strip(), 'month': dateMap[d[1].strip()],
'hour': d[2].split(':')[0]
}
def say(self, msg, animated=True):
self.rh.audio.speak(msg, self.language, animated=animated)
def error_termination(self):
""" Inform on termination with error."""
self.rh.audio.speak(u'Κατι πήγε λαθος στο σύστημα. Άμεσος τερματισμός!',
self.language, True)
sys.exit(1)
def detect_yes(self, waitT=5.0):
""" Method to recognize yes/no (ναι/οχι) words."""
if self.language == 'el':
possibAns = [u'ναι', u'οχι']
correctAns = u'ναι'
elif self.language == 'en':
possibAns = ['yes', 'no']
correctAns = 'yes'
else:
pass
resp = self.rh.audio.speechDetection(possibAns, waitT, self.language)
try:
print 'Detect-Yes: word: {0}, probability: {1}, error: {2}'.format(
resp['word'], resp['probability'], resp['error'])
except Exception as e:
print e
if resp['error'] or resp['probability'] < 0.4: # Threshold prob
self.rh.audio.speak(u'Δεν άκουσα. Μιλήστε πιο δυνατά παρακαλώ',
self.language, True)
return 'Rerun'
elif resp['word'] == correctAns.encode('utf8'):
return True
else:
return False
def ask_validation(self, ans):
while True:
self.rh.audio.speak(u'Είπατε... %s ?' % ans, self.language, True)
detected = self.detect_yes()
if detected == 'Rerun':
pass
else:
return detected
def RappWeatherForecast(self, city, weather_reporter, metric):
ch = RappPlatformAPI() ######################address = addr
response = ch.weatherReportForecast(city, weather_reporter,
metric) #Rapp service
return response
def setUp(self):
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
self.ch = RappPlatformAPI()
class SpeechDetectionSphinxTests(unittest.TestCase):
def setUp(self):
rospack = rospkg.RosPack()
self.pkgDir = rospack.get_path('rapp_testing_tools')
self.ch = RappPlatformAPI()
def test_ogg_oxi(self):
audioFile = path.join(self.pkgDir, 'test_data',
'speech_detection_samples', 'recording_oxi.ogg')
response = self.ch.speechRecognitionSphinx(audioFile, 'nao_ogg', 'el',\
[u'ναι', u'οχι'])
valid_words_found = [u'οχι']
self.assertEqual(response['error'], u'')
self.assertEqual(response['words'], valid_words_found)
def test_ogg_no(self):
audioFile = path.join(self.pkgDir, 'test_data',
'speech_detection_samples', 'recording_no.ogg')
response = self.ch.speechRecognitionSphinx(audioFile, 'nao_ogg', 'en',\
[u'yes', u'no'])
valid_words_found = [u'no']
self.assertEqual(response['error'], u'')
self.assertEqual(response['words'], valid_words_found)
def test_wav_1_ch_yes_no(self):
audioFile = path.join(self.pkgDir, 'test_data', 'yes-no.wav')
response = self.ch.speechRecognitionSphinx(audioFile, 'nao_wav_1_ch', 'en',\
[u'yes', u'no'])
valid_words_found = [u'yes', u'no']
self.assertEqual(response['error'], u'')
self.assertEqual(response['words'], valid_words_found)
def test_wav_1_ch_nai_oxi(self):
audioFile = path.join(self.pkgDir, 'test_data', 'nai-oxi-test.wav')
response = self.ch.speechRecognitionSphinx(audioFile, 'nao_wav_1_ch', 'el',\
[u'ναι', u'οχι', u'ισως'])
valid_words_found = [u'ναι', u'οχι', u'ισως']
self.assertEqual(response['error'], u'')
self.assertEqual(response['words'], valid_words_found)
def test_headset_nai_oxi(self):
audioFile = path.join(self.pkgDir, 'test_data', 'microphone_nai.wav')
response = self.ch.speechRecognitionSphinx(audioFile, 'headset', 'el',\
[u'ναι', u'οχι'])
valid_words_found = [u'ναι']
self.assertEqual(response['error'], u'')
self.assertEqual(response['words'], valid_words_found)
def test_speech_erroneous(self):
audioFile = path.join(self.pkgDir, 'test_data', 'microphone_nai.wav')
response = self.ch.speechRecognitionSphinx('', 'headset', 'el',
[u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx([], 'headset', 'el',
[u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(3, 'headset', 'el',
[u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, '', 'el',
[u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, [], 'el',
[u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, 3, 'el',
[u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, 'headset', '',
[u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, 'headset', [],
[u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, 'headset', 3,
[u'ναι', u'οχι'])
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, 'headset', 'el',
3)
self.assertNotEqual(response['error'], u'')
response = self.ch.speechRecognitionSphinx(audioFile, 'headset', 'el',
'')
self.assertNotEqual(response['error'], u'')
