def post(self):
init()
sleep_time = 0.1
#1.使用get_argument获取url query参数
arg = self.get_argument('k')
if(arg=='w'):
forward(sleep_time)
elif(arg=='s'):
reverse(sleep_time)
elif(arg=='a'):
left(sleep_time)
elif(arg=='d'):
right(sleep_time)
elif(arg=='q'):
pivot_left(sleep_time)
elif(arg=='e'):
pivot_right(sleep_time)
elif(arg=='z'):
p_left(sleep_time)
elif(arg=='x'):
p_right(sleep_time)
elif(arg=='u'or arg=='i' or arg =='o' or arg == 'p'):
result = {'u':"可回收物",'i':"厨余垃圾",'o':"有害垃圾",'p':"其他垃圾"}
p = result[arg]
lid = Steer(p)
lid.open()
time.sleep(5) # 打开5秒
lid.close()
else:
return False
self.write(arg)#向前端返回信息
def ai_work():
wakeup.detector.terminate() # 结束监控热词
wakeup.snowboydecoder.play_audio_file() # ding一声
led1.set_on() # 开灯
# 1.录 用户语音
state = userrecord.record()
if state == False: # 唤醒后太久没说话
led1.set_off()
return
led1.set_off()
led2.set_on()
# 2.用户语音 转 文字
ai_text = "你说什么"
user_text = iFlytekVoiceTrans.get_usertext() # 获得语音的文字结果
#user_text = duvoice.speech_to_text()
# 3.获得 AI文字
if user_text == '': # 录音结果有误
print("AI说: " + ai_text)
baiduvoice.text_to_speech(ai_text)
else: # 结果无误
result = classify.get_type(user_text) # 从话中提取垃圾种类
if result == False: # 没有说任何垃圾
ai_text = aibrain.ai_think(user_text) # 思知机器人回答
# 4.AI文字 转 语音
baiduvoice.text_to_speech(ai_text)
else:
if result[0] != None:
print(result[0] + '是' + result[1])
ai_text = result[0] + '是' + result[1] + ',' + result[
1] + '箱已打开' # 回答xx是xx垃圾
else:
print(result[1] + "箱已打开")
ai_text = result[1] + '箱已打开'
# 4.AI文字 转 语音
baiduvoice.text_to_speech(ai_text)
lid = Steer(result[1]) # 垃圾种类对应的盖子
lid.open()
time.sleep(5) # 打开5秒
lid.close()
led2.set_off() # 关灯
