Пример #1
0
class Bot(object):
    def __init__(self):
        self.nlg = NLG(user_name=my_name)
        self.speech = Speech(launch_phrase=launch_phrase,
                             debugger_enabled=debugger_enabled)
        self.knowledge = Knowledge(weather_api_token)
        self.vision = Vision(camera=camera)

    def start(self):
        """
        Main loop. Waits for the launch phrase, then decides an action.
        :return:
        """
        # subprocess.Popen(["aplay", "/home/pi/AI-Smart-Mirror/sample-audio-files/Startup.wav"], stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
        # time.sleep(1)
        self.__setup()
        while True:
            requests.get("http://localhost:8080/clear")
            if self.vision.recognize_face():
                # if True:
                print('Found face')
                if use_launch_phrase:
                    recognizer, audio = self.speech.listen_for_audio()
                    if self.speech.is_call_to_action(recognizer, audio):
                        GPIO.output(LEDPIN, GPIO.HIGH)

                        # set volumn_down 10
                        if self.__ismpvplaying():  #check mpv have play or not
                            if os.path.isfile("/home/pi/.mediavolume.json"):
                                mpvsetvol = os.system("echo '" + json.dumps({
                                    "command":
                                    ["set_property", "volume", "10"]
                                }) + "' | socat - /tmp/mpvsocket")
                            else:
                                mpvgetvol = subprocess.Popen(
                                    [("echo '" + json.dumps({
                                        "command": ["get_property", "volume"]
                                    }) + "' | socat - /tmp/mpvsocket")],
                                    shell=True,
                                    stdout=subprocess.PIPE)
                                output = mpvgetvol.communicate()[0]
                                for currntvol in re.findall(
                                        r"[-+]?\d*\.\d+|\d+", str(output)):
                                    with open('/home/pi/.mediavolume.json',
                                              'w') as vol:
                                        json.dump(currntvol, vol)
                                mpvsetvol = os.system("echo '" + json.dumps({
                                    "command":
                                    ["set_property", "volume", "10"]
                                }) + "' | socat - /tmp/mpvsocket")

                        self.__acknowledge_action()
                        self.decide_action()
                        GPIO.output(LEDPIN, GPIO.LOW)

                        #set back volume
                        if self.__ismpvplaying():  #check mpv have play or not
                            if os.path.isfile("/home/pi/.mediavolume.json"):
                                with open('/home/pi/.mediavolume.json',
                                          'r') as vol:
                                    oldvollevel = json.load(vol)
                                print(oldvollevel)
                                mpvsetvol = os.system("echo '" + json.dumps({
                                    "command": [
                                        "set_property", "volume",
                                        str(oldvollevel)
                                    ]
                                }) + "' | socat - /tmp/mpvsocket")

                else:
                    self.decide_action()

    def __setup(self):
        GPIO.setwarnings(False)
        #set the gpio modes to BCM numbering
        GPIO.setmode(GPIO.BCM)
        #set LEDPIN's mode to output,and initial level to LOW(0V)
        GPIO.setup(LEDPIN, GPIO.OUT, initial=GPIO.LOW)

    def decide_action(self):
        """
        Recursively decides an action based on the intent.
        :return:
        """
        recognizer, audio = self.speech.listen_for_audio()

        # received audio data, now we'll recognize it using Google Speech Recognition
        speech = self.speech.google_speech_recognition(recognizer, audio)

        if speech is not None:
            try:
                r = requests.get('https://api.wit.ai/message?v=20180428&q=%s' %
                                 speech,
                                 headers={"Authorization": wit_ai_token})
                print(r.text)
                json_resp = json.loads(r.text)
                entities = None
                intent = None
                if 'entities' in json_resp and 'Intent' in json_resp[
                        'entities']:
                    entities = json_resp['entities']
                    intent = json_resp['entities']['Intent'][0]["value"]
                if intent == 'greeting':
                    self.__text_action(self.nlg.greet())
                elif intent == 'snow white':
                    self.__text_action(self.nlg.snow_white())
                elif intent == 'weather':
                    self.__weather_action(entities)
                elif intent == 'news':
                    self.__news_action()
                elif intent == 'maps':
                    self.__maps_action(entities)
                elif intent == 'holidays':
                    self.__holidays_action()
                elif intent == 'appearance':
                    self.__appearance_action()
                elif intent == 'user status':
                    self.__user_status_action(entities)
                elif intent == 'user name':
                    self.__user_name_action()
                elif intent == 'personal status':
                    self.__personal_status_action()
                elif intent == 'joke':
                    self.__joke_action()
                elif intent == 'insult':
                    self.__insult_action()
                    return
                elif intent == 'appreciation':
                    self.__appreciation_action()
                    return
                elif intent == 'music':
                    self.__playmusic(entities)
                    return
                elif intent == 'light':
                    self.__light_action(entities)
                    return
                else:  # No recognized intent
                    self.__text_action(
                        "I'm sorry, I don't know about that yet.")
                    return

            except Exception as e:
                print("Failed wit!")
                print(e)
                traceback.print_exc()
                self.__text_action(
                    "I'm sorry, I couldn't understand what you meant by that")
                return

            self.decide_action()

    def __light_action(self, nlu_entities=None):
        action = None
        position = None
        light = Light(23)
        if nlu_entities is not None:
            if 'action' in nlu_entities:
                action = nlu_entities['action'][0]['value']
            if 'position' in nlu_entities:
                position = nlu_entities['position'][0]['value']
            if action == 'on':
                light.turn_on()
            elif action == 'off':
                light.turn_off()
                self.__text_action("Ok")
            else:
                self.__text_action(
                    "I'm sorry, I couldn't understand what you meant by that")

    def __joke_action(self):
        joke = self.nlg.joke()

        if joke is not None:
            self.__text_action(joke)
        else:
            self.__text_action("I couldn't find any jokes")

    def __user_status_action(self, nlu_entities=None):
        attribute = None

        if (nlu_entities is not None) and ("Status_Type" in nlu_entities):
            attribute = nlu_entities['Status_Type'][0]['value']

        self.__text_action(self.nlg.user_status(attribute=attribute))

    def __user_name_action(self):
        if self.nlg.user_name is None:
            self.__text_action(
                "I don't know your name. You can configure it in bot.py")

        self.__text_action(self.nlg.user_name)

    def __appearance_action(self):
        requests.get("http://localhost:8080/face")

    def __appreciation_action(self):
        self.__text_action(self.nlg.appreciation())

    def __acknowledge_action(self):
        self.__text_action(self.nlg.acknowledge())

    def __insult_action(self):
        self.__text_action(self.nlg.insult())

    def __personal_status_action(self):
        self.__text_action(self.nlg.personal_status())

    def __text_action(self, text=None):
        if text is not None:
            requests.get("http://localhost:8080/statement?text=%s" % text)
            # self.speech.synthesize_text(text)
            say(text, language)

    def __news_action(self):
        headlines = self.knowledge.get_news()

        if headlines:
            requests.post("http://localhost:8080/news",
                          data=json.dumps({"articles": headlines}))
            self.speech.synthesize_text(self.nlg.news("past"))
            interest = self.nlg.article_interest(headlines)
            if interest is not None:
                self.speech.synthesize_text(interest)
        else:
            self.__text_action("I had some trouble finding news for you")

    def __weather_action(self, nlu_entities=None):

        current_dtime = datetime.datetime.now()
        skip_weather = False  # used if we decide that current weather is not important

        weather_obj = self.knowledge.find_weather()
        temperature = weather_obj['temperature']
        icon = weather_obj['icon']
        wind_speed = weather_obj['windSpeed']

        weather_speech = self.nlg.weather(temperature, current_dtime,
                                          "present")
        forecast_speech = None

        if nlu_entities is not None:
            if 'datetime' in nlu_entities:
                if 'grain' in nlu_entities['datetime'][0] and nlu_entities[
                        'datetime'][0]['grain'] == 'day':
                    dtime_str = nlu_entities['datetime'][0][
                        'value']  # 2016-09-26T00:00:00.000-07:00
                    dtime = dateutil.parser.parse(dtime_str)
                    if current_dtime.date() == dtime.date():  # hourly weather
                        forecast_obj = {
                            'forecast_type': 'hourly',
                            'forecast': weather_obj['daily_forecast']
                        }
                        forecast_speech = self.nlg.forecast(forecast_obj)
                    elif current_dtime.date() < dtime.date(
                    ):  # sometime in the future ... get the weekly forecast/ handle specific days
                        forecast_obj = {
                            'forecast_type': 'daily',
                            'forecast': weather_obj['weekly_forecast']
                        }
                        forecast_speech = self.nlg.forecast(forecast_obj)
                        skip_weather = True
            if 'Weather_Type' in nlu_entities:
                weather_type = nlu_entities['Weather_Type'][0]['value']
                print(weather_type)
                if weather_type == "current":
                    forecast_obj = {
                        'forecast_type': 'current',
                        'forecast': weather_obj['current_forecast']
                    }
                    forecast_speech = self.nlg.forecast(forecast_obj)
                elif weather_type == 'today':
                    forecast_obj = {
                        'forecast_type': 'hourly',
                        'forecast': weather_obj['daily_forecast']
                    }
                    forecast_speech = self.nlg.forecast(forecast_obj)
                elif weather_type == 'tomorrow' or weather_type == '3 day' or weather_type == '7 day':
                    forecast_obj = {
                        'forecast_type': 'daily',
                        'forecast': weather_obj['weekly_forecast']
                    }
                    forecast_speech = self.nlg.forecast(forecast_obj)
                    skip_weather = True

        weather_data = {
            "temperature": temperature,
            "icon": icon,
            'windSpeed': wind_speed,
            "hour": datetime.datetime.now().hour
        }
        requests.post("http://localhost:8080/weather",
                      data=json.dumps(weather_data))

        if not skip_weather:
            # self.speech.synthesize_text(weather_speech)
            say(weather_speech)

        if forecast_speech is not None:
            # self.speech.synthesize_text(forecast_speech)
            say(forecast_speech)

    def __maps_action(self, nlu_entities=None):

        location = None
        map_type = None
        origin = None
        destination = None
        if nlu_entities is not None:
            if 'location' in nlu_entities:
                location = nlu_entities['location'][0]["value"]
            if "Map_Type" in nlu_entities:
                map_type = nlu_entities['Map_Type'][0]["value"]
            if 'origin' in nlu_entities:
                origin = nlu_entities['origin'][0]["value"]
            if 'destination' in nlu_entities:
                destination = nlu_entities['destination'][0]["value"]

        if origin is not None:
            if destination is not None:
                print(origin, destination)

        if location is not None:
            maps_url = self.knowledge.get_map_url(location, map_type)
            maps_action = "Sure. Here's a map of %s." % location
            body = {'url': maps_url}
            requests.post("http://localhost:8080/image", data=json.dumps(body))
            self.speech.synthesize_text(maps_action)
        else:
            self.__text_action(
                "I'm sorry, I couldn't understand what location you wanted.")

    def __playmusic(self, nlu_entities=None):
        chanel = None
        action = None
        region_code = 'VN'
        location = None
        local_search_query = None

        if nlu_entities is not None:
            if 'chanel' in nlu_entities:
                chanel = nlu_entities['chanel'][0]['value']
            if 'action' in nlu_entities:
                action = nlu_entities['action'][0]['value']
            if 'local_search_query' in nlu_entities:
                local_search_query = nlu_entities['local_search_query'][0][
                    'value']
            if 'location' in nlu_entities:
                location = nlu_entities['location'][0]['value']
                region_code = self.knowledge.get_country_code(location)
            if chanel is not None:
                if 'youtube' == chanel:
                    if 'play' == action:
                        stop()
                        if local_search_query is not None:
                            YouTube_Autoplay(local_search_query, region_code)
                        else:
                            YouTube_Autoplay('Le quyen', region_code)
                    elif 'stop' == action:
                        stop()
                        self.__text_action("OK, stoped it")
                    else:
                        self.__text_action("what are you want to do %s" %
                                           my_name)

    def __holidays_action(self):
        holidays = self.knowledge.get_holidays()
        next_holiday = self.__find_next_holiday(holidays)
        requests.post("http://localhost:8080/holidays",
                      json.dumps({"holiday": next_holiday}))
        self.speech.synthesize_text(self.nlg.holiday(
            next_holiday['localName']))

    def __find_next_holiday(self, holidays):
        today = datetime.datetime.now()
        for holiday in holidays:
            date = holiday['date']
            if (date['day'] > today.day) and (date['month'] > today.month):
                return holiday

        # next year
        return holidays[0]

    #Function to check if mpv is playing
    def __ismpvplaying(self):
        for pid in psutil.pids():
            p = psutil.Process(pid)
            if 'mpv' in p.name():
                mpvactive = True
                break
            else:
                mpvactive = False
        return mpvactive
Пример #2
0
class Bot(object):
    def __init__(self):
        self.nlg = NLG(user_name=my_name)
        self.nlg_vn = NLG(user_name=my_name_vn, language='vi')
        self.speech = Speech(launch_phrase=launch_phrase,
                             debugger_enabled=debugger_enabled)
        self.wit_client_vn = Wit(wit_ai_token_vn)
        self.wit_client_en = Wit(wit_ai_token)
        self.knowledge = Knowledge(weather_api_token,
                                   google_cloud_api_key=google_cloud_api_key)
        #self.vision = Vision(camera=camera)
        self.bot_vn = 'ty'

        subprocess.Popen([
            "aplay", "/home/pi/AI-Smart-Mirror/sample-audio-files/Startup.wav"
        ],
                         stdin=subprocess.PIPE,
                         stdout=subprocess.PIPE,
                         stderr=subprocess.PIPE)
        time.sleep(4)

    def __setup(self):
        GPIO.setwarnings(False)
        # set the gpio modes to BCM numbering
        GPIO.setmode(GPIO.BCM)
        # set LEDPIN's mode to output,and initial level to LOW(0V)
        GPIO.setup(LEDPIN, GPIO.OUT, initial=GPIO.LOW)

    def start(self):
        """
        Main loop. Waits for the launch phrase, then decides an action.
        :return:
        """

        self.__setup()
        while True:
            # requests.get("http://localhost:8080/clear")
            if True:
                # if True:
                print('Found face')

                if use_launch_phrase:
                    recognizer, audio = self.speech.listen_for_audio(
                    )  # save file audio
                    vn_bot = self.speech.is_call_to_action(recognizer,
                                                           audio,
                                                           language='vi')
                    self.bot_vn = vn_bot
                    en_bot = None
                    if not (vn_bot in ['ty', 'be', 'xuka']):
                        # vn_bot = self.speech_vn.is_call_to_action(recognizer, audio, language='vi')
                        en_bot = self.speech.is_call_to_action(
                            recognizer, audio)  # check vn or en bot

                    if en_bot is not None or vn_bot is not None:
                        GPIO.output(LEDPIN, GPIO.HIGH)  # light on

                        # set volumn_down 10
                        if self.__ismpvplaying():  # check mpv have play or not
                            if os.path.isfile("/home/pi/.mediavolume.json"):
                                mpvsetvol = os.system("echo '" + json.dumps({
                                    "command":
                                    ["set_property", "volume", "10"]
                                }) + "' | socat - /tmp/mpvsocket")
                            else:
                                mpvgetvol = subprocess.Popen(
                                    [("echo '" + json.dumps({
                                        "command": ["get_property", "volume"]
                                    }) + "' | socat - /tmp/mpvsocket")],
                                    shell=True,
                                    stdout=subprocess.PIPE)
                                output = mpvgetvol.communicate()[0]
                                for currntvol in re.findall(
                                        r"[-+]?\d*\.\d+|\d+", str(output)):
                                    with open('/home/pi/.mediavolume.json',
                                              'w') as vol:
                                        json.dump(currntvol, vol)
                                mpvsetvol = os.system("echo '" + json.dumps({
                                    "command":
                                    ["set_property", "volume", "10"]
                                }) + "' | socat - /tmp/mpvsocket")

                        if vn_bot in ['ty', 'be', 'xuka']:
                            self.__acknowledge_action(langague='vi')  #
                            self.decide_action(langague='vi')
                        else:
                            self.__acknowledge_action()  #
                            self.decide_action()

                        GPIO.output(LEDPIN, GPIO.LOW)

                        # set back volume
                        if self.__ismpvplaying():  # check mpv have play or not
                            if os.path.isfile("/home/pi/.mediavolume.json"):
                                with open('/home/pi/.mediavolume.json',
                                          'r') as vol:
                                    oldvollevel = json.load(vol)
                                print(oldvollevel)
                                mpvsetvol = os.system("echo '" + json.dumps({
                                    "command": [
                                        "set_property", "volume",
                                        str(oldvollevel)
                                    ]
                                }) + "' | socat - /tmp/mpvsocket")

                else:
                    self.decide_action(langague='vi')
        # Wait for all threads to complete

    def decide_action(self, langague=None, oldintent=None, pre_message=None):
        """
        Recursively decides an action based on the intent.
        :return:
        """
        speech_en = None
        speech_vn = None

        # received audio data, now we'll recognize it using Google Speech Recognition
        if langague is not None:
            while speech_vn is None:
                recognizer, audio = self.speech.listen_for_audio()
                speech_vn = self.speech.google_speech_recognition(
                    recognizer, audio, langague)
                if oldintent is not None:
                    speech_vn = '%s %s' % (oldintent, speech_vn)
        else:
            while speech_en is None:
                recognizer, audio = self.speech.listen_for_audio()
                speech_en = self.speech.google_speech_recognition(
                    recognizer, audio)

        # Run EN Bot
        if speech_en is not None:
            try:
                # r = requests.get('https://api.wit.ai/message?v=20180428&q=%s' % speech_en,
                #                  headers={"Authorization": wit_ai_token})
                response = self.wit_client_en.message(speech_en)
                entities = None
                intent = None

                if response is not None:
                    entities = response['entities']
                    intent = entities['intent'][0]["value"]

                if intent == 'greeting':
                    self.__text_action(self.nlg.greet())
                elif intent == 'snow white':
                    self.__text_action(self.nlg.snow_white())
                elif intent == 'weather':
                    self.__weather_action(entities)
                elif intent == 'news':
                    self.__text_action('News function is not yet implemted')
                elif intent == 'maps':
                    self.__maps_action(entities)
                elif intent == 'holidays':
                    self.__holidays_action()
                # elif intent == 'appearance':
                #     self.__appearance_action()
                elif intent == 'user status':
                    self.__user_status_action(entities)
                elif intent == 'user name':
                    self.__user_name_action()
                elif intent == 'personal status':
                    self.__personal_status_action()
                elif intent == 'joke':
                    self.__joke_action()
                elif intent == 'appreciation':
                    self.__appreciation_action()
                    return
                elif intent == 'music':
                    self.__playmusic(entities)
                    return
                elif intent == 'light':
                    self.__light_action(entities)
                    return
                else:  # No recognized intent
                    self.__text_action(
                        "I'm sorry, I don't know about that yet.")
                    return

            except Exception as e:
                print("Failed wit!")
                print(e)
                traceback.print_exc()
                self.__text_action(
                    "I'm sorry, I couldn't understand what you meant by that")
                return
            self.decide_action()
        else:
            # Run VN Bot
            if speech_vn is not None:

                try:
                    # r = requests.get('https://api.wit.ai/message?v=20180428&q=%s' % speech_vn,
                    #                  headers={"Authorization": wit_ai_token_vn})
                    # resp = json.loads(r.text)
                    response = self.wit_client_vn.message(speech_vn)
                    entities = None
                    intent = None
                    print(response)
                    if response is not None:
                        entities = response['entities']
                        if 'intent' in entities:
                            intent = entities['intent'][0]["value"]

                    print(intent)

                    if intent == 'lời chào':
                        self.__text_action(self.nlg_vn.greet())
                    elif intent == 'thời tiết':
                        self.__weather_action_vn(entities)
                    elif intent == 'tin tức':
                        self.__news_action(entities, langague, oldintent)
                        if pre_message is not None:
                            if speech_vn is not None and 'dịch' in speech_vn:
                                self.__text_action(pre_message)
                                return
                        if oldintent is not None:
                            self.__text_action('Kết thúc đọc tin tức')
                            return
                    elif intent == 'bản đồ':
                        self.__maps_action(entities)
                    elif intent == 'ngày nghỉ':
                        self.__holidays_action(entities)
                    elif intent == 'điều khiển':
                        self.__device_action(entities)
                    # elif intent == 'self':
                    #     self.__appearance_action()
                    elif intent == 'alarm':
                        self.__alarm(entities)
                        return
                    elif intent == 'user status':
                        self.__user_status_action(entities)
                    elif intent == 'user name':
                        self.__user_name_action()
                    elif intent == 'personal status':
                        self.__personal_status_action()
                    elif intent == 'joke':
                        self.__joke_action()
                    elif intent == 'đánh giá':
                        self.__appreciation_action()
                        return
                    elif intent == 'nhạc':
                        self.__playmusic(entities)
                        return
                    elif intent == 'light':
                        self.__light_action(entities)
                        return
                    elif intent == 'current time':
                        ti = datetime.datetime.now().time()
                        self.__text_action(ti)
                    else:  # No recognized intent
                        self.__text_action(self.nlg_vn.unknown())
                        # return

                except Exception as e:
                    print("Failed wit!")
                    print(e)
                    traceback.print_exc()
                    self.__text_action(
                        "Code thối lỗi banh xác rồi, fix đêêêêê")
                    return

                self.decide_action(langague='vi')

    def __device_action(self, nlu_entities=None):
        action = None
        position = None
        device = None
        mode = None

        if nlu_entities is not None:
            if 'action' in nlu_entities:
                action = nlu_entities['action'][0]['value'].lower().encode()
            if 'position' in nlu_entities:
                position = nlu_entities['position'][0]['value'].lower().encode(
                )
            if 'device' in nlu_entities:
                device = nlu_entities['device'][0]['value'].lower().encode()
            if 'mode' in nlu_entities:
                mode = nlu_entities['mode'][0]['value'].lower().encode()

            if device is not None and action is not None:
                if device == 'loa'.encode():
                    if action == 'bật'.encode() or action == 'tắt'.encode():
                        os.system('irsend SEND_ONCE speaker KEY_POWER')
                    elif action == 'tăng'.encode() or action == 'lớn'.encode():
                        os.system('irsend SEND_ONCE speaker KEY_VOLUMEUP')
                    elif action == 'giảm'.encode() or action == 'nhỏ'.encode():
                        os.system('irsend SEND_ONCE speaker KEY_VOLUMEDOWN')
                    elif action == 'ánh sáng'.encode():
                        os.system('irsend SEND_ONCE speaker KEY_LIGHTS_TOGGLE')

                elif device == 'điều hòa'.encode():
                    print('%s, %s, %s' % (device, mode, action))
                    if action == 'bật'.encode() or action == 'chuyển'.encode():
                        if mode is not None and mode == 'lạnh'.encode():
                            os.system('irsend SEND_ONCE air COLD')  # lanh
                            self.__text_action('đã bật điều hoà, chế độ lạnh')
                        elif mode is not None and mode == 'nóng'.encode():
                            os.system('irsend SEND_ONCE air HOT')  # nong
                            self.__text_action('đã bật điều hoà, chế độ nóng')
                    elif action == 'tắt'.encode():
                        os.system('irsend SEND_ONCE air OFF')  # tắt
                        self.__text_action('đã tắt điều hoà')
                    elif action == 'giảm'.encode():
                        os.system('irsend SEND_ONCE air DOWN')  # DOWN
                        self.__text_action('đã giảm điều hoà')
                    elif action == 'tăng'.encode():
                        os.system('irsend SEND_ONCE air UP')  # UP
                        self.__text_action('đã tăng điều hoà')

                elif device == 'quạt'.encode():
                    if action == 'bật'.encode() or action == 'chuyển'.encode():
                        if mode is not None and mode == 'lạnh'.encode():
                            os.system(
                                'irsend SEND_ONCE fan KEY_POWER  KEY_BLUE KEY_BLUE'
                            )  # lanh
                            self.__text_action('đã bật quạt chế độ lạnh')
                        elif mode is not None and mode == 'nóng':
                            os.system(
                                'irsend SEND_ONCE fan KEY_POWER  KEY_0 KEY_0'
                            )  # nong
                            self.__text_action('đã bật quạt chế độ nóng')
                        else:
                            os.system(
                                'irsend SEND_ONCE fan KEY_POWER  KEY_BLUE KEY_BLUE'
                            )  # lanh
                            self.__text_action('đã bật quạt chế độ nóng')
                    elif action == 'tắt'.encode():
                        os.system(
                            'irsend SEND_ONCE fan KEY_POWER KEY_POWER')  # tắt
                        self.__text_action('đã tắt quạt')
                    elif action == 'giảm'.encode():
                        if mode is not None and mode == 'lạnh'.encode():
                            os.system('irsend SEND_ONCE fan KEY_DOWN KEY_DOWN'
                                      )  # giam
                            self.__text_action('đã giảm quạt chế độ lạnh')
                        elif mode is not None and mode == 'nóng'.encode():
                            os.system(
                                'irsend SEND_ONCE fan KEY_1 KEY_1')  # giam
                            self.__text_action('đã giảm quạt chế độ nóng')
                    elif action == 'tăng'.encode():
                        if mode is not None and mode == 'lạnh'.encode():
                            os.system(
                                'irsend SEND_ONCE fan KEY_UP KEY_UP')  # tăng
                            self.__text_action('đã tăng quạt chế độ lạnh')
                        elif mode is not None and mode == 'nóng'.encode():
                            os.system(
                                'irsend SEND_ONCE fan KEY_0 KEY_0')  # giam
                            self.__text_action('đã tăng quạt chế độ nóng')
                    elif action == 'xoay'.encode():
                        os.system('irsend SEND_ONCE fan KEY_RO KEY_RO')  # xoay
                        self.__text_action('đã xoay quạt')

    def __light_action(self, nlu_entities=None):
        action = None
        position = None
        light = Light(23)
        if nlu_entities is not None:
            if 'action' in nlu_entities:
                action = nlu_entities['action'][0]['value']
            if 'position' in nlu_entities:
                position = nlu_entities['position'][0]['value']
            if action == 'on':
                light.turn_on()
            elif action == 'off':
                light.turn_off()
                self.__text_action("Ok")
            else:
                self.__text_action(
                    "I'm sorry, I couldn't understand what you meant by that")

    def __joke_action(self):
        joke = self.nlg.joke()

        if joke is not None:
            self.__text_action(joke)
        else:
            self.__text_action("I couldn't find any jokes")

    def __user_status_action(self, nlu_entities=None):
        attribute = None

        if (nlu_entities is not None) and ("Status_Type" in nlu_entities):
            attribute = nlu_entities['Status_Type'][0]['value']

        self.__text_action(self.nlg.user_status(attribute=attribute))

    def __user_name_action(self):
        if self.nlg.user_name is None:
            self.__text_action(
                "I don't know your name. You can configure it in bot.py")

        self.__text_action(self.nlg.user_name)

    # def __appearance_action(self):
    #     requests.get("http://localhost:8080/face")

    def __appreciation_action(self):
        if self.bot_vn in ['ty', 'be', 'xuka']:
            self.__text_action(self.nlg_vn.appreciation())
        else:
            self.__text_action(self.nlg.appreciation())

    def __acknowledge_action(self, langague=None):
        if self.bot_vn in ['ty', 'be', 'xuka']:
            self.__text_action(self.nlg_vn.acknowledge())
        else:
            self.__text_action(self.nlg.acknowledge())

    def __insult_action(self):
        self.__text_action(self.nlg.insult())

    def __personal_status_action(self):
        self.__text_action(self.nlg.personal_status())

    def __text_action(self, text=None):
        if text is not None:
            # requests.get("http://localhost:8080/statement?text=%s" % text)
            # self.speech.synthesize_text(text)
            if self.bot_vn in ['ty', 'be', 'xuka']:
                say(text, 'vi', self.bot_vn)
            else:
                say(text)

    # Voi viet nam thoi
    def __news_action(self, nlu_entities=None, language='vi', oldintent=None):
        country = None
        intent = None
        action = None
        if nlu_entities is not None:
            # get entites from API
            if 'country' in nlu_entities:
                country = nlu_entities['country'][0]['value']
            if 'intent' in nlu_entities:
                intent = nlu_entities['intent'][0]['value']

            # doc tin tuc cua nc nao
            if country is not None and 'việt' in country.lower():
                self.__text_action('tin việt nam ạ, chờ em tý!')
                # todo:get_vnex_news
                news_vn = self.knowledge.get_news('vi')
                if news_vn:
                    # requests.post("http://localhost:8080/news", data=json.dumps({"articles":headlines}))
                    interest = self.nlg.article_interest(news_vn)
                    if interest is not None:
                        self.__text_action(interest)
            elif country is not None and 'nhật bản' in country.lower():
                self.__text_action(
                    'tin nhật bản ạ, chờ tý em bảo chị gu gồ đọc cho %s nghe' %
                    my_name_vn)
                news_jp = self.knowledge.get_news('jp')
                if news_jp:
                    # requests.post("http://localhost:8080/news", data=json.dumps({"articles":headlines}))
                    interest = self.nlg.article_interest(news_jp)
                    if interest is not None:
                        say(interest, 'ja')
                        self.decide_action(langague=language,
                                           oldintent=intent,
                                           pre_message=interest)
                else:
                    self.__text_action('không tìm thấy tin nào hết, %s ạ' %
                                       my_name_vn)
            elif oldintent is None:
                self.__text_action(
                    'Anh muốn nghe tin gì, nước nào nhật bản hay việt nam hả  %s ?'
                    % my_name_vn)
                self.decide_action(langague=language, oldintent=intent)

    def __weather_action(self, nlu_entities=None):

        current_dtime = datetime.datetime.now()
        skip_weather = False  # used if we decide that current weather is not important

        weather_obj = self.knowledge.find_weather(my_address)
        temperature = weather_obj['temperature']
        icon = weather_obj['icon']
        wind_speed = weather_obj['windSpeed']

        weather_speech = self.nlg.weather(temperature, current_dtime,
                                          "present")
        forecast_speech = None

        if nlu_entities is not None:
            if 'datetime' in nlu_entities:
                if 'grain' in nlu_entities['datetime'][0] and nlu_entities[
                        'datetime'][0]['grain'] == 'day':
                    dtime_str = nlu_entities['datetime'][0][
                        'value']  # 2016-09-26T00:00:00.000-07:00
                    dtime = dateutil.parser.parse(dtime_str)
                    if current_dtime.date() == dtime.date():  # hourly weather
                        forecast_obj = {
                            'forecast_type': 'hourly',
                            'forecast': weather_obj['hourly_forecast'],
                            'location': my_address
                        }
                        forecast_speech = self.nlg.forecast(forecast_obj)
                    elif current_dtime.date() < dtime.date(
                    ):  # sometime in the future ... get the weekly forecast/ handle specific days
                        forecast_obj = {
                            'forecast_type': 'daily',
                            'forecast': weather_obj['weekly_forecast'],
                            'location': my_address
                        }
                        forecast_speech = self.nlg.forecast(forecast_obj)
                        skip_weather = True
            if 'Weather_Type' in nlu_entities:
                weather_type = nlu_entities['Weather_Type'][0]['value']
                print(weather_type)
                if weather_type == "current":
                    forecast_obj = {
                        'forecast_type': 'current',
                        'forecast': weather_obj['current_forecast'],
                        'location': my_address
                    }
                    forecast_speech = self.nlg.forecast(forecast_obj)
                elif weather_type == 'today':
                    forecast_obj = {
                        'forecast_type': 'hourly',
                        'forecast': weather_obj['hourly_forecast'],
                        'location': my_address
                    }
                    forecast_speech = self.nlg.forecast(forecast_obj)
                elif weather_type == 'tomorrow':
                    forecast_obj = {
                        'forecast_type': 'daily',
                        'forecast': weather_obj['tomorrow_forecast'],
                        'location': my_address
                    }
                    forecast_speech = self.nlg.forecast(forecast_obj)
                    skip_weather = True
                elif weather_type == '3 day' or weather_type == '7 day':
                    forecast_obj = {
                        'forecast_type': 'daily',
                        'forecast': weather_obj['weekly_forecast'],
                        'location': my_address
                    }
                    forecast_speech = self.nlg.forecast(forecast_obj)
                    skip_weather = True
                else:
                    forecast_obj = {
                        'forecast_type': 'hourly',
                        'forecast': weather_obj['hourly_forecast'],
                        'location': my_address
                    }
                    forecast_speech = self.nlg.forecast(forecast_obj)

        weather_data = {
            "temperature": temperature,
            "icon": icon,
            'windSpeed': wind_speed,
            "hour": datetime.datetime.now().hour
        }
        # requests.post("http://localhost:8080/weather", data=json.dumps(weather_data))

        if not skip_weather:
            # self.speech.synthesize_text(weather_speech)
            say(weather_speech)

        if forecast_speech is not None:
            # self.speech.synthesize_text(forecast_speech)
            say(forecast_speech)

    def __weather_action_vn(self, nlu_entities=None):

        current_dtime = datetime.datetime.now()
        skip_weather = False  # used if we decide that current weather is not important

        weather_obj = self.knowledge.find_weather(my_address)
        temperature = weather_obj['temperature']
        icon = weather_obj['icon']
        wind_speed = weather_obj['windSpeed']

        weather_speech = self.nlg_vn.weather(temperature, current_dtime,
                                             "present")
        forecast_speech = None

        if nlu_entities is not None:
            if 'timely' in nlu_entities:
                timely = nlu_entities['timely'][0]['value']
                print(timely)
                if timely == 'hôm nay':
                    forecast_obj = {
                        'forecast_type': 'hourly',
                        'forecast': weather_obj['hourly_forecast'],
                        'location': my_address
                    }
                    forecast_speech = self.nlg_vn.forecast(forecast_obj)
                elif timely == 'bây giờ':
                    forecast_obj = {
                        'forecast_type': 'current',
                        'forecast': weather_obj['current_forecast'],
                        'location': my_address
                    }
                    forecast_speech = self.nlg_vn.forecast(forecast_obj)
                elif timely == 'ngày mai':
                    forecast_obj = {
                        'forecast_type': 'daily',
                        'forecast': weather_obj['tomorrow_forecast'],
                        'location': my_address
                    }
                    forecast_speech = self.nlg_vn.forecast(forecast_obj)
                    skip_weather = True
                elif 'tuần' in timely or timely == 'cuối tuần':
                    forecast_obj = {
                        'forecast_type': 'daily',
                        'forecast': weather_obj['weekly_forecast'],
                        'location': my_address
                    }
                    forecast_speech = self.nlg_vn.forecast(forecast_obj)
                    skip_weather = True

        weather_data = {
            "temperature": temperature,
            "icon": icon,
            'windSpeed': wind_speed,
            "hour": datetime.datetime.now().hour
        }
        # requests.post("http://localhost:8080/weather", data=json.dumps(weather_data))

        if not skip_weather:
            # self.speech.synthesize_text(weather_speech)
            say(weather_speech, 'vi', self.bot_vn)

        if forecast_speech is not None:
            # self.speech.synthesize_text(forecast_speech)
            say(forecast_speech, 'vi', self.bot_vn)

    def __maps_action(self, nlu_entities=None):

        location = None
        map_type = None
        origin = None
        destination = None
        maps_url = None
        if self.bot_vn in ['ty', 'be', 'xuka']:
            if nlu_entities is not None:
                if 'city' in nlu_entities:
                    location = nlu_entities['city'][0]["value"]
                if 'country' in nlu_entities:
                    country = nlu_entities['country'][0]["value"]
                if 'from' in nlu_entities:
                    origin = nlu_entities['from'][0]["value"]
                if 'to' in nlu_entities:
                    destination = nlu_entities['to'][0]["value"]

            if origin is not None and destination is not None:
                maps_url = self.knowledge.get_direction_map(
                    origin, destination)
                location = 'đường đi'
            else:
                if location is not None:
                    maps_url = self.knowledge.get_map_url(location, map_type)
                else:
                    self.__text_action(
                        "Em xin lỗi, em không biết nơi anh muốn tìm")
            if maps_url is not None:
                maps_action = "chắc chắn rồi, đây là bản đồ %s." % location
                body = {'url': maps_url}
                # requests.post("http://localhost:8080/image", data=json.dumps(body))
                say(maps_action, 'vi', self.bot_vn)
        else:
            if nlu_entities is not None:
                if 'location' in nlu_entities:
                    location = nlu_entities['location'][0]["value"]
                if "Map_Type" in nlu_entities:
                    map_type = nlu_entities['Map_Type'][0]["value"]

            if location is not None:
                maps_url = self.knowledge.get_map_url(location, map_type)
                maps_action = "Sure. Here's a map of %s." % location
                body = {'url': maps_url}
                # requests.post("http://localhost:8080/image", data=json.dumps(body))
                self.speech.synthesize_text(maps_action)
            else:
                self.__text_action(
                    "I'm sorry, I couldn't understand what location you wanted."
                )

    def __playmusic(self, nlu_entities=None):
        chanel = 'youtube'
        action = None
        region_code = 'VN'
        location = None
        search_query = None

        if self.bot_vn in ['ty', 'be', 'xuka']:  # vn bot
            if nlu_entities is not None:
                if 'chanel' in nlu_entities:
                    chanel = nlu_entities['chanel'][0]['value']
                if 'action' in nlu_entities:
                    action = nlu_entities['action'][0]['value']
                if 'search_query' in nlu_entities:
                    search_query = nlu_entities['search_query'][0]['value']
                # Play music
                if chanel is not None:
                    if 'youtube' == chanel:
                        if 'mở' == action:
                            stop()
                            if search_query is not None and search_query != 'nghe':
                                YouTube_Autoplay(search_query, region_code)
                            else:
                                YouTube_Autoplay('Le quyen', region_code)
                        elif 'tắt' == action:
                            stop()
                            self.__text_action("ok, em tắt rồi")
                        else:
                            self.__text_action("em chưa hiểu, thưa %s" %
                                               my_name)
        else:  # en bot
            if nlu_entities is not None:
                if 'chanel' in nlu_entities:
                    chanel = nlu_entities['chanel'][0]['value']
                if 'action' in nlu_entities:
                    action = nlu_entities['action'][0]['value']
                if 'local_search_query' in nlu_entities:
                    local_search_query = nlu_entities['local_search_query'][0][
                        'value']
                if 'location' in nlu_entities:
                    location = nlu_entities['location'][0]['value']
                    region_code = self.knowledge.get_country_code(location)
                if chanel is not None:
                    if 'youtube' == chanel:
                        if 'play' == action:
                            stop()
                            if local_search_query is not None:
                                YouTube_Autoplay(local_search_query,
                                                 region_code)
                            else:
                                YouTube_Autoplay('Le quyen', region_code)
                        elif 'stop' == action:
                            stop()
                            self.__text_action("OK, stoped it")
                        else:
                            self.__text_action("what are you want to do %s" %
                                               my_name)

    def __holidays_action(self, nlu_entities=None):
        country = None
        if nlu_entities is not None:
            if 'country' in nlu_entities:
                country = nlu_entities['country'][0]["value"]
                print(nlu_entities['country'][0]["value"])
        if country is not None:
            holidays = self.knowledge.get_holidays(country)
        else:
            holidays = self.knowledge.get_holidays(country='vi')
        if not holidays:
            self.__text_action("No upcoming events found.")
        else:
            i = 0
            words = ''
            while i < 3:
                dayho = dateutil.parser.parse(holidays[i]['start'])
                print(dayho.weekday())
                dayofweek = self.__dayofweek(dayho.weekday())
                words = "%s . %s Ngày %s, tháng %s, năm %s, %s" % (
                    words, dayofweek, dayho.day, dayho.month, dayho.year,
                    holidays[i]['summary'])
                i = i + 1
            self.__text_action(words)

    def __dayofweek(self, i):
        days = [
            'Thứ hai', 'Thứ ba', 'Thứ tư', 'Thứ năm', 'Thứ sáu', 'Thứ bảy',
            'Chủ nhật'
        ]
        return days[i]

    def __alarm(self, nlu_entities=None):
        __datetime = None
        __action = None
        current_ts = time.time()
        if nlu_entities is not None:
            if 'datetime' in nlu_entities:
                __datetime = nlu_entities['datetime'][0]['value']

        if __datetime is not None:
            dtime = dateutil.parser.parse(__datetime)
            str = '%s giờ, %s, Ngày %s, Tháng %s' % (dtime.hour, dtime.minute,
                                                     dtime.day, dtime.month)
            timestamp2 = time.mktime(dtime.timetuple())
            delay = timestamp2 - current_ts
            if delay > 0:
                _thread.start_new_thread(self.__start_alarm, (
                    "alarm",
                    delay,
                ))
                say('đã cài báo thức %s', str)

    # Function to check if mpv is playing
    def __ismpvplaying(self):
        for pid in psutil.pids():
            p = psutil.Process(pid)
            if 'mpv' in p.name():
                mpvactive = True
                break
            else:
                mpvactive = False
        return mpvactive

    # registe alarm
    def __start_alarm(self, threadName, delay):
        time.sleep(delay)
        alarm_file = "/home/pi/AI-Smart-Mirror/sample-audio-files/martian-gun.mp3"
        song = AudioSegment.from_mp3(alarm_file)
        i = 0
        while i <= 30:
            play(song)
            time.sleep(2)
            i += 1