robot.Conversation 源代码

# -*- coding: utf-8-*-
import time 
import uuid
import cProfile
import pstats
import io
import re
import os
from robot.Brain import Brain
from snowboy import snowboydecoder
from robot import logging, ASR, TTS, NLU, AI, Player, config, constants, utils, statistic


logger = logging.getLogger(__name__)

[文档]class Conversation(object): def __init__(self, profiling=False): self.reload() # 历史会话消息 self.history = [] # 沉浸模式,处于这个模式下,被打断后将自动恢复这个技能 self.matchPlugin = None self.immersiveMode = None self.isRecording = False self.profiling = profiling self.onSay = None self.hasPardon = False
[文档] def getHistory(self): return self.history
[文档] def interrupt(self): if self.player is not None and self.player.is_playing(): self.player.stop() self.player = None if self.immersiveMode: self.brain.pause()
[文档] def reload(self): """ 重新初始化 """ try: self.asr = ASR.get_engine_by_slug(config.get('asr_engine', 'tencent-asr')) self.ai = AI.get_robot_by_slug(config.get('robot', 'tuling')) self.tts = TTS.get_engine_by_slug(config.get('tts_engine', 'baidu-tts')) self.nlu = NLU.get_engine_by_slug(config.get('nlu_engine', 'unit')) self.player = None self.brain = Brain(self) self.brain.printPlugins() except Exception as e: logger.critical("对话初始化失败:{}".format(e))
[文档] def checkRestore(self): if self.immersiveMode: self.brain.restore()
[文档] def doResponse(self, query, UUID='', onSay=None): statistic.report(1) self.interrupt() self.appendHistory(0, query, UUID) if onSay: self.onSay = onSay if query.strip() == '': self.pardon() return lastImmersiveMode = self.immersiveMode if not self.brain.query(query): # 没命中技能,使用机器人回复 msg = self.ai.chat(query) self.say(msg, True, onCompleted=self.checkRestore) else: if lastImmersiveMode is not None and lastImmersiveMode != self.matchPlugin: time.sleep(1) if self.player is not None and self.player.is_playing(): logger.debug('等说完再checkRestore') self.player.appendOnCompleted(lambda: self.checkRestore()) else: logger.debug('checkRestore') self.checkRestore()
[文档] def doParse(self, query, **args): return self.nlu.parse(query, **args)
[文档] def setImmersiveMode(self, slug): self.immersiveMode = slug
[文档] def getImmersiveMode(self): return self.immersiveMode
[文档] def converse(self, fp, callback=None): """ 核心对话逻辑 """ Player.play(constants.getData('beep_lo.wav')) logger.info('结束录音') self.isRecording = False if self.profiling: logger.info('性能调试已打开') pr = cProfile.Profile() pr.enable() self.doConverse(fp, callback) pr.disable() s = io.StringIO() sortby = 'cumulative' ps = pstats.Stats(pr, stream=s).sort_stats(sortby) ps.print_stats() print(s.getvalue()) else: self.doConverse(fp, callback)
[文档] def doConverse(self, fp, callback=None, onSay=None): try: self.interrupt() query = self.asr.transcribe(fp) utils.check_and_delete(fp) self.doResponse(query, callback, onSay) except Exception as e: logger.critical(e) utils.clean()
[文档] def appendHistory(self, t, text, UUID=''): """ 将会话历史加进历史记录 """ if t in (0, 1) and text is not None and text != '': if text.endswith(',') or text.endswith(','): text = text[:-1] if UUID == '' or UUID == None or UUID == 'null': UUID = str(uuid.uuid1()) # 将图片处理成HTML pattern = r'https?://.+\.(?:png|jpg|jpeg|bmp|gif|JPG|PNG|JPEG|BMP|GIF)' url_pattern = r'^https?://.+' imgs = re.findall(pattern, text) for img in imgs: text = text.replace(img, '<img src={} class="img"/>'.format(img)) urls = re.findall(url_pattern, text) for url in urls: text = text.replace(url, '<a href={} target="_blank">{}</a>'.format(url, url)) self.history.append({'type': t, 'text': text, 'time': time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())), 'uuid': UUID})
def _onCompleted(self, msg): if config.get('active_mode', False) and \ ( msg.endswith('?') or msg.endswith(u'?') or u'告诉我' in msg or u'请回答' in msg ): query = self.activeListen() self.doResponse(query)
[文档] def pardon(self): if not self.hasPardon: self.say("抱歉,刚刚没听清,能再说一遍吗?", onCompleted=lambda: self.doResponse(self.activeListen())) self.hasPardon = True else: self.say("没听清呢") self.hasPardon = False
[文档] def say(self, msg, cache=False, plugin='', onCompleted=None, wait=False): """ 说一句话 :param msg: 内容 :param cache: 是否缓存这句话的音频 :param plugin: 来自哪个插件的消息(将带上插件的说明) :param onCompleted: 完成的回调 :param wait: 是否要等待说完(为True将阻塞主线程直至说完这句话) """ if plugin != '': self.appendHistory(1, "[{}] {}".format(plugin, msg)) else: self.appendHistory(1, msg) pattern = r'^https?://.+' if re.match(pattern, msg): logger.info("内容包含URL,所以不读出来") return voice = '' cache_path = '' if utils.getCache(msg): logger.info("命中缓存,播放缓存语音") voice = utils.getCache(msg) cache_path = utils.getCache(msg) else: try: voice = self.tts.get_speech(msg) cache_path = utils.saveCache(voice, msg) except Exception as e: logger.error('保存缓存失败:{}'.format(e)) if self.onSay: logger.info(cache) audio = 'http://{}:{}/audio/{}'.format(config.get('/server/host'), config.get('/server/port'), os.path.basename(cache_path)) logger.info('onSay: {}, {}'.format(msg, audio)) if plugin != '': self.onSay("[{}] {}".format(plugin, msg), audio) else: self.onSay(msg, audio) self.onSay = None if onCompleted is None: onCompleted = lambda: self._onCompleted(msg) self.player = Player.SoxPlayer() self.player.play(voice, not cache, onCompleted, wait) if not cache: utils.check_and_delete(cache_path, 60) # 60秒后将自动清理不缓存的音频 utils.lruCache() # 清理缓存
[文档] def activeListen(self, silent=False): """ 主动问一个问题(适用于多轮对话) """ logger.debug('activeListen') try: if not silent: time.sleep(1) Player.play(constants.getData('beep_hi.wav')) listener = snowboydecoder.ActiveListener([constants.getHotwordModel(config.get('hotword', 'wukong.pmdl'))]) voice = listener.listen( silent_count_threshold=config.get('silent_threshold', 15), recording_timeout=config.get('recording_timeout', 5) * 4 ) if not silent: Player.play(constants.getData('beep_lo.wav')) if voice: query = self.asr.transcribe(voice) utils.check_and_delete(voice) return query return '' except Exception as e: logger.error(e) return ''
[文档] def play(self, src, delete=False, onCompleted=None, volume=1): """ 播放一个音频 """ if self.player: self.interrupt() self.player = Player.SoxPlayer() self.player.play(src, delete, onCompleted=onCompleted, volume=volume)