/
main_threading_stable.py
603 lines (534 loc) · 22.4 KB
/
main_threading_stable.py
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# 唤醒以后,重新按单句进行录制并转换文字。调试中发现有上下文语境以后语音的准确率反而降低。
# 分两个线程,线程1 - 查询PLC状态;线程2 - 发送语音,返回文字,当收到提示音是,进入下命令语句接收。
# 发声用的是同一个硬件设备,涉及硬件设备协调的问题。硬件发声会堵塞程序,所以单独开一个线程
import websocket
import datetime
import hashlib
import base64
import hmac
import json
from urllib.parse import urlencode
import time
import ssl
from wsgiref.handlers import format_date_time
from datetime import datetime
from time import mktime
import _thread as thread
import pyaudio
import io
import speech_recognition as sr
from opcua import Client
from opcua import ua
import pyttsx3
import queue
import config
import concurrent.futures
STATUS_FIRST_FRAME = 0 # 第一帧的标识
STATUS_CONTINUE_FRAME = 1 # 中间帧标识
STATUS_LAST_FRAME = 2 # 最后一帧的标识
IS_WAKEN_MODE = False # 唤醒模式
ASR_WAKE_WORD = "" # 语音转换的结果
class Ws_Param(object):
# 初始化
def __init__(self, APPID, APIKey, APISecret):
self.APPID = APPID
self.APIKey = APIKey
self.APISecret = APISecret
# 公共参数(common)
self.CommonArgs = {"app_id": self.APPID}
# 业务参数(business),更多个性化参数可在官网查看
self.BusinessArgs = {"domain": "iat",
"language": "zh_cn",
"accent": "mandarin",
"vinfo": 1,
"ptt": 0,
"vad_eos": 10000}
# 生成url
def create_url(self):
url = 'wss://ws-api.xfyun.cn/v2/iat'
# 生成RFC1123格式的时间戳
now = datetime.now()
date = format_date_time(mktime(now.timetuple()))
# 拼接字符串
signature_origin = "host: " + "ws-api.xfyun.cn" + "\n"
signature_origin += "date: " + date + "\n"
signature_origin += "GET " + "/v2/iat " + "HTTP/1.1"
# 进行hmac-sha256进行加密
signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),
digestmod=hashlib.sha256).digest()
signature_sha = base64.b64encode(signature_sha).decode(encoding='utf-8')
authorization_origin = "api_key=\"%s\", algorithm=\"%s\", headers=\"%s\", signature=\"%s\"" % (
self.APIKey, "hmac-sha256", "host date request-line", signature_sha)
authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')
# 将请求的鉴权参数组合为字典
v = {
"authorization": authorization,
"date": date,
"host": "ws-api.xfyun.cn"
}
# 拼接鉴权参数,生成url
url = url + '?' + urlencode(v)
# print("date: ",date)
# print("v: ",v)
# 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释,比对相同参数时生成的url与自己代码生成的url是否一致
# print('websocket url :', url)
return url
# 唤醒词判断
def is_wake_word(asr_txt):
# A list of wake words
wake_words_collection = ['小张', '小章', '嚣张']
# Check to see if the users command/text contains a wake word/phrase
for wake_word in wake_words_collection:
if wake_word in asr_txt:
return True
# If the wake word isn't found in the text from the loop and so it returns False
return False
# 收到websocket消息的处理
def on_message(ws, message):
try:
code = json.loads(message)["code"]
sid = json.loads(message)["sid"]
if code != 0:
errMsg = json.loads(message)["message"]
print("sid:%s call error:%s code is:%s" % (sid, errMsg, code))
else:
data = json.loads(message)["data"]["result"]["ws"]
# print(json.loads(message))
result = ""
for i in data:
for w in i["cw"]:
result += w["w"]
# print("sid:%s call success!,data is:%s" % (sid, json.dumps(data, ensure_ascii=False)))
if result == '':
pass
else:
global ASR_WAKE_WORD
ASR_WAKE_WORD = result
# print(f'讯飞: {ASR_WAKE_WORD}')
global IS_WAKEN_MODE
IS_WAKEN_MODE = is_wake_word(ASR_WAKE_WORD)
# main()==========================================
if IS_WAKEN_MODE:
# 回答“我在”
q_speak.put_nowait("我在")
# 复位唤醒
IS_WAKEN_MODE = False
ASR_WAKE_WORD = ""
# 语音转文字
try:
asr_txt = one_asr()
# asr_txt = ASR_WAKE_WORD
q_hmi_you.put_nowait(asr_txt)
# 意图分析
intent_txt = intent_for_send(asr_txt)
print(f'意图是:{intent_txt}')
q_hmi_sva.put_nowait(intent_txt)
if intent_txt is None:
# 回答“想好说什么再喊我”
q_speak.put_nowait("想好说什么再喊我")
else:
# 回答“好的”
q_speak.put_nowait("好的")
q_opc.put_nowait(intent_txt)
except sr.WaitTimeoutError:
# 回答“没别的事,我休息一下”
q_speak.put_nowait('没别的事,我休息一下')
else:
pass
# print(f'讯飞: {ASR_WAKE_WORD}')
# q_hmi_you.put_nowait(ASR_WAKE_WORD)
except Exception as e:
print("receive msg,but parse exception:", e)
# 收到websocket错误的处理
def on_error(ws, error):
print("### error:", error)
# 收到websocket关闭的处理
def on_close(ws):
print("### closed ###")
# 收到websocket连接建立的处理
def on_open(ws):
def run(*args):
intervel = 0.04 # 发送音频间隔(单位:s)
status = STATUS_FIRST_FRAME # 音频的状态信息,标识音频是第一帧,还是中间帧、最后一帧
CHUNK = 520
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 16000
p = pyaudio.PyAudio()
stream = p.open(format=FORMAT,
channels=CHANNELS,
rate=RATE,
input=True,
frames_per_buffer=CHUNK)
print('---------------等待唤醒---------------')
pack_num = int(RATE / CHUNK * 30)
try:
for i in range(0, pack_num):
buf = stream.read(CHUNK)
# if IS_WAKEN_MODE:
# break
# # 文件结束
if i == (pack_num - 1):
# if i == (pack_num - 1) or IS_WAKEN_MODE:
status = STATUS_LAST_FRAME
# 第一帧处理
# 发送第一帧音频,带business 参数
# appid 必须带上,只需第一帧发送
if status == STATUS_FIRST_FRAME:
d = {"common": wsParam.CommonArgs,
"business": wsParam.BusinessArgs,
"data": {"status": 0, "format": "audio/L16;rate=16000",
"audio": str(base64.b64encode(buf), 'utf-8'),
"encoding": "raw"}}
d = json.dumps(d)
ws.send(d)
status = STATUS_CONTINUE_FRAME
# 中间帧处理
elif status == STATUS_CONTINUE_FRAME:
d = {"data": {"status": 1, "format": "audio/L16;rate=16000",
"audio": str(base64.b64encode(buf), 'utf-8'),
"encoding": "raw"}}
ws.send(json.dumps(d))
# 最后一帧处理
elif status == STATUS_LAST_FRAME:
d = {"data": {"status": 2, "format": "audio/L16;rate=16000",
"audio": str(base64.b64encode(buf), 'utf-8'),
"encoding": "raw"}}
ws.send(json.dumps(d))
# print('---------------last----------------')
time.sleep(1)
break
# 模拟音频采样间隔
time.sleep(intervel)
except Exception as e:
print("receive msg,but parse exception:", e)
stream.stop_stream()
stream.close()
p.terminate()
ws.close()
# if not IS_WAKEN_MODE:
thread.start_new_thread(run, ())
def one_asr():
recognizer = sr.Recognizer()
microphone = sr.Microphone(sample_rate=16000)
with microphone as source:
print('say something')
# recognizer.adjust_for_ambient_noise(source)
audio = recognizer.listen(source, timeout=6.0, phrase_time_limit=20.0).get_raw_data()
ws = websocket.create_connection(wsUrl)
print("Sending 'audio'...")
frameSize = 8000 # 每一帧的音频大小
intervel = 0.04 # 发送音频间隔(单位:s)
status = STATUS_FIRST_FRAME # 音频的状态信息,标识音频是第一帧,还是中间帧、最后一帧
fp = io.BytesIO()
fp.write(audio)
fp.seek(0)
while True:
buf = fp.read(frameSize)
# 文件结束
if not buf:
status = STATUS_LAST_FRAME
# 第一帧处理
# 发送第一帧音频,带business 参数
# appid 必须带上,只需第一帧发送
if status == STATUS_FIRST_FRAME:
d = {"common": wsParam.CommonArgs,
"business": wsParam.BusinessArgs,
"data": {"status": 0, "format": "audio/L16;rate=16000",
"audio": str(base64.b64encode(buf), 'utf-8'),
"encoding": "raw"}}
d = json.dumps(d)
ws.send(d)
status = STATUS_CONTINUE_FRAME
# 中间帧处理
elif status == STATUS_CONTINUE_FRAME:
d = {"data": {"status": 1, "format": "audio/L16;rate=16000",
"audio": str(base64.b64encode(buf), 'utf-8'),
"encoding": "raw"}}
ws.send(json.dumps(d))
# 最后一帧处理
elif status == STATUS_LAST_FRAME:
d = {"data": {"status": 2, "format": "audio/L16;rate=16000",
"audio": str(base64.b64encode(buf), 'utf-8'),
"encoding": "raw"}}
ws.send(json.dumps(d))
time.sleep(0.5)
break
# 模拟音频采样间隔
time.sleep(intervel)
fp.close()
print("Sent")
print("Receiving...")
message = ws.recv()
ws.close()
try:
code = json.loads(message)["code"]
sid = json.loads(message)["sid"]
if code != 0:
errMsg = json.loads(message)["message"]
print("sid:%s call error:%s code is:%s" % (sid, errMsg, code))
else:
data = json.loads(message)["data"]["result"]["ws"]
# print(json.loads(message))
result = ""
for i in data:
for w in i["cw"]:
result += w["w"]
# print("sid:%s call success!,data is:%s" % (sid, json.dumps(data, ensure_ascii=False)))
# print(f'命令是:{result}')
return result
except Exception as e:
print("receive msg,but parse exception:", e)
# 意图分析子函数
def keyword_in_sentence(word_collection, sentence):
keyword_include = False
for word in word_collection:
if word in sentence:
keyword_include = True if keyword_include is False else True
return keyword_include
# 意图分析
def intent_for_send(text):
# 将句子转换为意图
# 意图为主谓短语,如换辊小车锁紧、换辊小车松开
# intent_phrase_zh = ['换辊小车左行', '换辊小车右行', '换辊小车锁紧', '换辊小车松开', '换辊推拉缸前进', '换辊推拉缸后退']
# intent_mqtt = ['srm/car/left', 'srm/car/right', 'srm/car/lock', 'srm/car/unlock', 'srm/beam/fwd', 'srm/beam/bwd']
# intent_match = dict(zip(intent_phrase_zh, intent_mqtt))
# 关键词模糊匹配
# 换辊小车
car_words_collection = ['车']
# 左
left_words_collection = ['左']
# 右
right_words_collection = ['右', '又']
# 锁紧
lock_words_collection = ['锁紧', '锁定', '缩紧', '缩进']
# 松开
unlock_words_collection = ['松开', '松', '解锁']
# 换辊推拉缸
cylinder_words_collection = ['缸', '液压缸', '推拉缸']
# 前进
fwd_words_collection = ['前', '前伸', '推进']
# 后退
bwd_words_collection = ['后', '退' '拉出', '推出']
# 停止
stop_words_collection = ['停', '挺']
# 点动
jog_words_collection = ['点']
# 1秒
s1_words_collection = ['1秒', '一秒', '疫苗']
# 2秒
s2_words_collection = ['2秒', '二秒', '两秒']
# 3秒
s3_words_collection = ['3秒', '三秒', '疫苗']
# 4秒
s4_words_collection = ['4秒', '四秒', '寺庙', '十秒']
# 5秒
s5_words_collection = ['5秒', '五秒']
# 取消拆分功能 2020/08/29
# # split the sentence with the word
# seg = pkuseg.pkuseg()
# seg_text = seg.cut(text)
# print(f'拆分:{seg_text}')
# 判断句子里是否有关键词
get_keyword_car = keyword_in_sentence(car_words_collection, text)
get_keyword_left = keyword_in_sentence(left_words_collection, text)
get_keyword_right = keyword_in_sentence(right_words_collection, text)
get_keyword_lock = keyword_in_sentence(lock_words_collection, text)
get_keyword_unlock = keyword_in_sentence(unlock_words_collection, text)
get_keyword_cylinder = keyword_in_sentence(cylinder_words_collection, text)
get_keyword_fwd = keyword_in_sentence(fwd_words_collection, text)
get_keyword_bwd = keyword_in_sentence(bwd_words_collection, text)
get_keyword_stop = keyword_in_sentence(stop_words_collection, text)
get_keyword_jog = keyword_in_sentence(jog_words_collection, text)
###
get_keyword_1s = keyword_in_sentence(s1_words_collection, text)
get_keyword_2s = keyword_in_sentence(s2_words_collection, text)
get_keyword_3s = keyword_in_sentence(s3_words_collection, text)
get_keyword_4s = keyword_in_sentence(s4_words_collection, text)
get_keyword_5s = keyword_in_sentence(s5_words_collection, text)
# 意图组合
# TODO 设计成意图表格
if get_keyword_car and get_keyword_left and not get_keyword_jog:
if get_keyword_1s:
intent_phrase = '换辊小车左行1秒'
elif get_keyword_2s:
intent_phrase = '换辊小车左行2秒'
elif get_keyword_3s:
intent_phrase = '换辊小车左行3秒'
elif get_keyword_4s:
intent_phrase = '换辊小车左行4秒'
elif get_keyword_5s:
intent_phrase = '换辊小车左行5秒'
else:
intent_phrase = '换辊小车左行'
elif get_keyword_car and get_keyword_right and not get_keyword_jog:
if get_keyword_1s:
intent_phrase = '换辊小车右行1秒'
elif get_keyword_2s:
intent_phrase = '换辊小车右行2秒'
elif get_keyword_3s:
intent_phrase = '换辊小车右行3秒'
elif get_keyword_4s:
intent_phrase = '换辊小车右行4秒'
elif get_keyword_5s:
intent_phrase = '换辊小车右行5秒'
else:
intent_phrase = '换辊小车右行'
elif get_keyword_car and get_keyword_stop:
intent_phrase = '换辊小车停止'
elif get_keyword_car and get_keyword_left and get_keyword_jog:
intent_phrase = '换辊小车向左点动'
elif get_keyword_car and get_keyword_right and get_keyword_jog:
intent_phrase = '换辊小车向右点动'
elif get_keyword_car and get_keyword_lock:
intent_phrase = '换辊小车锁紧'
elif get_keyword_car and get_keyword_unlock:
intent_phrase = '换辊小车松开'
elif get_keyword_cylinder and get_keyword_fwd and not get_keyword_jog:
if get_keyword_1s:
intent_phrase = '换辊推拉缸前进1秒'
elif get_keyword_2s:
intent_phrase = '换辊推拉缸前进2秒'
elif get_keyword_3s:
intent_phrase = '换辊推拉缸前进3秒'
elif get_keyword_4s:
intent_phrase = '换辊推拉缸前进4秒'
elif get_keyword_5s:
intent_phrase = '换辊推拉缸前进5秒'
else:
intent_phrase = '换辊推拉缸前进'
elif get_keyword_cylinder and get_keyword_bwd and not get_keyword_jog:
if get_keyword_1s:
intent_phrase = '换辊推拉缸后退1秒'
elif get_keyword_2s:
intent_phrase = '换辊推拉缸后退2秒'
elif get_keyword_3s:
intent_phrase = '换辊推拉缸后退3秒'
elif get_keyword_4s:
intent_phrase = '换辊推拉缸后退4秒'
elif get_keyword_5s:
intent_phrase = '换辊推拉缸后退5秒'
else:
intent_phrase = '换辊推拉缸后退'
elif get_keyword_cylinder and get_keyword_stop:
intent_phrase = '换辊推拉缸停止'
elif get_keyword_cylinder and get_keyword_fwd and get_keyword_jog:
intent_phrase = '换辊推拉缸点动前进'
elif get_keyword_cylinder and get_keyword_bwd and get_keyword_jog:
intent_phrase = '换辊推拉缸点动后退'
else:
intent_phrase = None
# 返回报文
# intent_for_publish = intent_match.get(intent_phrase)
# print(intent_for_publish)
# return intent_for_publish
# 返回句子
# TODO 句子成分缺失追问
return intent_phrase
# 与PLC通讯--接收
def opc_rev_plc():
url = "opc.tcp://192.168.10.1:4840"
snd_nodeid = 'ns=3;s="OPCUA_SND"."srm_mqtt_pub"'
snd_flg_nodeid = 'ns=3;s="OPCUA_SND"."srm_mqtt_pub_flg"'
with Client(url=url) as client:
# 接收自PLC节点ID
snd_srm_mqtt_pub = client.get_node(snd_nodeid)
snd_srm_mqtt_pub_flg = client.get_node(snd_flg_nodeid)
# 初始化同步PLC的数据
# 接收自PLC
# snd_srm_mqtt_pub_value = snd_srm_mqtt_pub.get_value()
snd_srm_mqtt_pub_flg_value = snd_srm_mqtt_pub_flg.get_value()
snd_srm_mqtt_pub_flg_value_old = snd_srm_mqtt_pub_flg_value
while True:
time.sleep(0.1)
# 接收PLC消息
snd_srm_mqtt_pub_value = snd_srm_mqtt_pub.get_value()
snd_srm_mqtt_pub_flg_value = snd_srm_mqtt_pub_flg.get_value()
if snd_srm_mqtt_pub_value == '':
pass
elif snd_srm_mqtt_pub_flg_value != snd_srm_mqtt_pub_flg_value_old:
print("PLC: "+snd_srm_mqtt_pub_value)
if q_speak.empty():
q_speak.put(snd_srm_mqtt_pub_value)
else:
pass
snd_srm_mqtt_pub_flg_value_old = snd_srm_mqtt_pub_flg_value
# 与PLC通讯--发送
def opc_snd_plc():
url = "opc.tcp://192.168.10.1:4840"
rev_nodeid = 'ns=3;s="OPCUA_REV"."srm_mqtt_sub"'
rev_flg_nodeid = 'ns=3;s="OPCUA_REV"."srm_mqtt_sub_flg"'
with Client(url=url) as client:
# 发送到PLC节点ID
rev_srm_mqtt_sub = client.get_node(rev_nodeid)
rev_srm_mqtt_sub_flg = client.get_node(rev_flg_nodeid)
# 初始化同步PLC的数据
# 发送给PLC
rev_srm_mqtt_sub_flg_value = rev_srm_mqtt_sub_flg.get_value()
while True:
# 发送PLC消息
rev_srm_mqtt_sub_value = q_opc.get()
rev_srm_mqtt_sub.set_value(ua.DataValue(ua.Variant(rev_srm_mqtt_sub_value, ua.VariantType.String)))
if rev_srm_mqtt_sub_flg_value >= 32767:
rev_srm_mqtt_sub_flg_value = -32768
else:
rev_srm_mqtt_sub_flg_value = rev_srm_mqtt_sub_flg_value + 1
rev_srm_mqtt_sub_flg.set_value(ua.DataValue(ua.Variant(rev_srm_mqtt_sub_flg_value, ua.VariantType.Int16)))
q_opc.task_done()
# 与PLC通讯--显示
def opc_hmi_you():
url = "opc.tcp://192.168.10.1:4840"
you_nodeid = 'ns=3;s="HMI_IF"."hmi_you_speak"'
with Client(url=url) as client:
# 发送HMI显示你说节点ID
hmi_you_speak = client.get_node(you_nodeid)
while True:
hmi_you_speak_value = q_hmi_you.get()
hmi_you_speak.set_value(ua.DataValue(ua.Variant(hmi_you_speak_value, ua.VariantType.String)))
q_hmi_you.task_done()
# 与PLC通讯--显示
def opc_hmi_sva():
url = "opc.tcp://192.168.10.1:4840"
sva_nodeid = 'ns=3;s="HMI_IF"."hmi_sva_speak"'
with Client(url=url) as client:
# 发送HMI显示小张说节点ID
hmi_sva_speak = client.get_node(sva_nodeid)
while True:
hmi_sva_speak_value = q_hmi_sva.get()
hmi_sva_speak.set_value(ua.DataValue(ua.Variant(hmi_sva_speak_value, ua.VariantType.String)))
q_hmi_sva.task_done()
# 发声
def tts():
while True:
text = q_speak.get()
# print(f'发声{text}')
engine = pyttsx3.init()
engine.say(text)
engine.runAndWait()
q_speak.task_done()
def wake():
global IS_WAKEN_MODE
while True:
if not IS_WAKEN_MODE:
time1 = datetime.now()
ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close)
ws.on_open = on_open
ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
time2 = datetime.now()
print(time2 - time1)
if __name__ == "__main__":
wsParam = Ws_Param(APPID=config.APPID, APIKey=config.APIKey,
APISecret=config.APISecret)
websocket.enableTrace(False)
wsUrl = wsParam.create_url()
q_speak = queue.Queue()
q_opc = queue.Queue()
q_hmi_sva = queue.Queue()
q_hmi_you = queue.Queue()
with concurrent.futures.ThreadPoolExecutor() as executor:
f1 = executor.submit(opc_rev_plc)
f2 = executor.submit(opc_snd_plc)
f3 = executor.submit(opc_hmi_you)
f4 = executor.submit(opc_hmi_sva)
f5 = executor.submit(tts)
wake()