330 lines
12 KiB
Python
330 lines
12 KiB
Python
# basic
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import io
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import os
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import sys
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import time
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import json
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import random
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from collections import deque
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from datetime import datetime
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# log
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import logging
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import warnings
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# multiprocessing
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import queue
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import threading
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import multiprocessing
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# web request
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import requests
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import pyaudio
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# hot words detection
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import pvporcupine
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from takway.apps.data_struct import QueueIterator
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from takway.common_utils import *
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from takway.audio_utils import PicovoiceRecorder, HDRecorder
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from takway.clients.client_utils import BaseWebSocketClient
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from takway.audio_utils import AudioPlayer
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class WebSocketClinet:
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def __init__(self,
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board,
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server_args,
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recorder_args,
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player_args,
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log_args,
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excute_args=None,
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):
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self.board = board
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# server_args
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self.server_args = server_args
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# recorder_args
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self.recorder_args = recorder_args
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# player_args
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self.player_args = player_args
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# excute_args
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self.excute_args = excute_args
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# log_args
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self.log_args = log_args
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def process_init(self):
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# multiprocessing
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manager = multiprocessing.Manager()
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self.trigger_queue = manager.Queue()
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self.client_queue = manager.Queue()
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self.audio_play_queue = manager.Queue()
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self.excute_queue = manager.Queue()
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# 多进程标志为
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self.mircophone_active_set = manager.Event()
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self.speaker_active_set = manager.Event()
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processes = [
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multiprocessing.Process(target=self.audio_process),
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multiprocessing.Process(target=self.web_socket_client_process),
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multiprocessing.Process(target=self.audio_play_process),
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]
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if self.excute_args.get('enable', False):
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processes.append(
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multiprocessing.Process(target=self.excute_process),
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)
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for process in processes:
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time.sleep(0.5)
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process.start()
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for process in processes:
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process.join()
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def audio_process(self):
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"""audio_process
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Args:
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trigger_queue: multiprocessing.Queue, trigger queue
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client_queue: multiprocessing.Queue, client queue
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"""
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min_stream_record_time = self.recorder_args.pop('min_stream_record_time')
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voice_trigger = self.recorder_args.pop('voice_trigger')
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# TODO:
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press_type = self.recorder_args.pop('press_type')
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max_slience_time = self.recorder_args.pop('max_slience_time')
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if voice_trigger:
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recorder = PicovoiceRecorder(**self.recorder_args)
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else:
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voice_keys = ['access_key', 'keywords', 'keyword_paths', 'model_path','sensitivities', 'library_path']
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for key in voice_keys:
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self.recorder_args.pop(key)
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recorder = HDRecorder(**self.recorder_args)
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recorder.min_stream_record_time = min_stream_record_time
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# TODO:
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recorder.press_type = press_type
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recorder.max_slience_time = max_slience_time
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print("Audio Process started.")
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print("Waiting for wake up...")
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# recorder.hardware.set_led_on("green")
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while True:
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if self.shared_waiting:
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continue
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data = recorder.record_chunk_voice(
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CHUNK=recorder.porcupine.frame_length,
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return_type=None,
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exception_on_overflow=False,
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queue=None)
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record_chunk_size = recorder.vad_chunk_size
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# 开关按键被按下或被关键词唤醒
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if recorder.hardware.power_status or recorder.is_wakeup(data):
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# recorder.hardware.set_led_on("blue")
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pass
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else:
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continue
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# wake up
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is_bgn = True
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is_end = False
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frames = []
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# status buffer
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slience_bgn_t = time.time()
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slience_time = 0
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print("Start recording...")
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# 准备对话状态
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while True:
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# 语音活动检测
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data = recorder.record_chunk_voice(
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CHUNK=record_chunk_size,
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return_type=None,
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exception_on_overflow=False)
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is_speech = recorder.is_speech(data)
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# 判断状态
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if is_speech:
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print("valid voice")
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slience_bgn_t = time.time()
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frames.append(data)
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else:
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slience_time = time.time() - slience_bgn_t
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# 长时沉默关闭唤醒状态：如果唤醒后超过一定时间没有说话/关闭按键被按下，则认为是结束
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if slience_time > recorder.max_slience_time or not recorder.hardware.power_status:
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break
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# 短时沉默结束单次对话：沉默时间超过一定时间段（0.5s左右），则发送数据
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if slience_time > recorder.min_act_time:
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is_end = True
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is_bgn = False
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if not is_speech:
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continue
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# 流式发送数据
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stream_reset_status = self.stream_record_process(
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bytes_frames=recorder.write_wave_bytes(frames),
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frames_size=len(frames),
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record_chunk_size=record_chunk_size,
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sample_rate=recorder.RATE,
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min_stream_record_time=recorder.min_stream_record_time,
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is_bgn=is_bgn,
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is_end=is_end)
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if stream_reset_status:
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frames.clear()
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is_bgn = False
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# print(f"Tatal frames: {_total_frames*record_chunk_size}, valid frame: {_frames*record_chunk_size}, valid RATE: {_frames/_total_frames*100:.2f}%, {_frames*record_chunk_size/recorder.RATE} sec.")
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# print("End recording.")
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# recorder.hardware.set_led_off("blue")
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def stream_record_process(self,
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bytes_frames: bytes,
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frames_size: int,
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record_chunk_size: int,
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sample_rate: int,
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min_stream_record_time: int,
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is_bgn: bool,
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is_end: bool):
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'''
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Args:
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bytes_frames: bytes, audio data
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frames_size: int, audio data size
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record_chunk_size: int, audio data chunk size
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is_bgn: bool, is begin of stream
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is_end: bool, is end of stream
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Returns:
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bool, if stream reset status
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'''
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if len(bytes_frames) == 0:
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return False
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if frames_size*record_chunk_size >= min_stream_record_time*sample_rate or is_end:
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if is_bgn and is_end:
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return False
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stream_data = dict(
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frames=bytes_frames,
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frames_size=frames_size,
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chunk_size=record_chunk_size,
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is_bgn=is_bgn,
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is_end=is_end)
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self.client_queue.put(('audio', stream_data))
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if is_end:
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# print("put None to client queue.")
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self.client_queue.put(None)
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return True
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else:
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return False
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def web_socket_client_process(self):
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client = BaseWebSocketClient(self.server_args['server_url'], self.server_args['session_id'])
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print("Web socket client process started.")
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# print("Web socket client process started.")
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while True:
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if self.client_queue.empty():
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continue
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# print(f"init skt time: {datetime.now()}")
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# 唤醒
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client.wakeup_client()
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# 发送数据
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for queue_data in QueueIterator(self.client_queue):
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if queue_data[0] == 'audio':
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audio_dict = queue_data[1]
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client.send_per_data(
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audio=audio_dict['frames'],
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stream=True,
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voice_synthesize=True,
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is_end=audio_dict['is_end'],
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encoding='base64',
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)
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# print(f"send skt time: {datetime.now()}")
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# print(f"fnsh skt time: {datetime.now()}")
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# 接收数据
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while True:
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response, data_type = client.receive_per_data()
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if data_type == dict:
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print(response) # 打印接收到的消息
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'''
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try:
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response = json.loads(response['msg'])
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if 'content' in response.keys():
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self.excute_queue.put((response['instruct'], response['content']))
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except json.JSONDecodeError as e:
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print(f"json decode error: {e}")
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continue
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# print(f"recv json time: {datetime.now()}")
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'''
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elif data_type == bytes:
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# print(f"recv bytes time: {datetime.now()}")
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self.audio_play_queue.put(('audio_bytes', response))
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elif data_type == None:
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break # 如果没有接收到消息，则退出循环
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# print("接收完毕:", datetime.now())
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def audio_play_process(self):
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'''
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Args:
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audio_play_queue: multiprocessing.Queue, audio play queue
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share_time_dict: multiprocessing.Manager.dict, shared time dict
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'''
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audio_player = AudioPlayer(**self.player_args)
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print("Audio play process started.")
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while True:
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item = self.audio_play_queue.get()
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# 播放音频
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print("Playing audio...")
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tts_audio = item[1]
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print(f"tts_audio len: {len(tts_audio)}")
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print(f"play audio time: {datetime.now()}")
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try:
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# 播放
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self.speaker_active_set.set()
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tts_audio = audio_player.check_audio_type(tts_audio, return_type=None)
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for i in range(0, len(tts_audio), audio_player.CHUNK):
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audio_player.stream.write(tts_audio[i:i+audio_player.CHUNK])
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# print("Playing {} data...{}/{}".format(item[0], i, len(tts_audio)))
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if self.mircophone_active_set.is_set():
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print("mirophone is active.")
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self.mircophone_active_set.wait()
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break
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audio_player.stream.write(tts_audio[i+audio_player.CHUNK:])
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print(f"audio data played.")
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except TypeError as e:
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print(f"audio play error: {e}")
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continue
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# audio_player.stream.write(audio_data[i+audio_player.CHUNK:])
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# print(f"{item[0]} data played.")
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def excute_process(self):
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'''
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Args:
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excute_queue: multiprocessing.Queue, excute display queue
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'''
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print("Excute process started.")
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while True:
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if self.excute_queue.empty():
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continue
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if self.speaker_active_set.is_set():
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instruct, content = self.excute_queue.get()
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print(f"Got speaker info: {instruct, content}")
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print(f"Playing {instruct} {content}...")
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print(f"play {instruct} time: {datetime.now()}")
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self.audio_play_queue.put((instruct, content))
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self.speaker_active_set.clear()
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