def __init__(self):
setLogger('actionService')
dotenv_path = '.env'
load_dotenv(dotenv_path)
self.queue = queue()
self.channel = self.queue.createChannel()
self.channel.queue_declare(queue=self.QUEUE_NAME)
self.channel.basic_consume(self.callback,
queue=self.QUEUE_NAME,
no_ack=True)
self.actionHandler = actionHandler()
def __init__(self):
setLogger('SpeachToTextService')
dotenv_path = '.env'
load_dotenv(dotenv_path)
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = os.getenv('GOOGLE_APPLICATION_CREDENTIALS')
self.queue = queue()
self.channel = self.queue.createChannel()
self.channel.queue_declare(queue=self.QUEUE_NAME)
self.channel.basic_consume(self.callback,
queue=self.QUEUE_NAME,
no_ack=True)
self.stt = stt()
def __init__(self):
setLogger('HebTextToSpeachService')
dotenv_path = '.env'
load_dotenv(dotenv_path)
self.queue = queue()
self.channel = self.queue.createChannel()
self.channel.queue_declare(queue=self.QUEUE_NAME)
self.channel.basic_consume(self.callback,
queue=self.QUEUE_NAME,
no_ack=True)
self.htts = htts()
self.play = play()
self.cache = cache()
def __init__(self):
root = logging.getLogger()
root.setLevel(logging.DEBUG)
ch = logging.StreamHandler(sys.stdout)
ch.setLevel(logging.DEBUG)
handler = logging.FileHandler('logs/recordVoiceService.log')
handler.setLevel(logging.INFO)
root.addHandler(ch)
root.addHandler(handler)
self.record = record()
self.queue = queue()
self.channel = self.queue.createChannel()
#self.channel.queue_declare(queue=self.QUEUE_NAME)
# todo delete record folder
self.deletePreviousRecords()
def __init__(self):
setLogger('dialogFlowService')
dotenv_path = '.env'
load_dotenv(dotenv_path)
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = os.getenv(
'GOOGLE_APPLICATION_CREDENTIALS')
self.queue = queue()
self.channel = self.queue.createChannel()
self.channel.queue_declare(queue=self.QUEUE_NAME)
self.channel.basic_consume(self.callback,
queue=self.QUEUE_NAME,
no_ack=True)
self.dialogflow = dialogflow()
self.sessionLast = datetime.now()
self.sessionId = str(uuid.uuid4())
def __init__(self):
setLogger('translateService')
dotenv_path = '.env'
load_dotenv(dotenv_path)
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = os.getenv('GOOGLE_APPLICATION_CREDENTIALS')
self.queue = queue()
self.channel = self.queue.createChannel()
self.channel.queue_declare(queue=self.QUEUE_NAME_H2E)
self.channel.queue_declare(queue=self.QUEUE_NAME_E2H)
self.channel.basic_consume(self.callback_h2e,
queue=self.QUEUE_NAME_H2E,
no_ack=True)
self.channel.basic_consume(self.callback_e2h,
queue=self.QUEUE_NAME_E2H,
no_ack=True)
self.translate = translate()
self.cache = cache()
def __init__(self):
setLogger('cameraService')
self.queue = queue()
self.channel = self.queue.createChannel()
self.recognizer = cv2.face.LBPHFaceRecognizer_create()
self.recognizer.read('resources/trainer/trainer.yml')
cascadePath = "resources/haarcascade_frontalface_default.xml"
self.faceCascade = cv2.CascadeClassifier(cascadePath);
self.font = cv2.FONT_HERSHEY_SIMPLEX
self.id = 0
# names related to ids: example ==> Marcelo: id=1, etc
self.names = ['None', 'Amir', 'Anat', 'Ety', 'Ofek', 'Staav','Gefen']
# Initialize and start realtime video capture
self.cam = cv2.VideoCapture(0)
self.cam.set(3, 640) # set video widht
self.cam.set(4, 480) # set video height
# Define min window size to be recognized as a face
self.minW = 0.1*self.cam.get(3)
self.minH = 0.1*self.cam.get(4)
def get(self, text):
uni_text = text.encode('utf-8')
print(uni_text)
self.queue = queue()
channel = self.queue.createChannel()
channel.basic_publish(self.EXCHANGE_NAME, self.QUEUE_NAME, uni_text)
def get(self, command):
print(command)
self.queue = queue()
channel = self.queue.createChannel()
channel.basic_publish(self.EXCHANGE_NAME, self.QUEUE_NAME, command)