87ed1c4425
- 升级Agent（chat_module=agent切换）：升级到langgraph react agent逻辑、集成到主分支fay中、基于自动决策工具调用机制、基于日程跟踪的主动沟通、支持外部观测数据传入； - 修复因线程同步问题导致的配置文件读写不稳定 - 聊天采纳功能的bug修复
102 lines
4.4 KiB
Python
102 lines
4.4 KiB
Python
import os
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import csv
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import difflib
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from utils import config_util as cfg
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from scheduler.thread_manager import MyThread
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import shlex
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import subprocess
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import time
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from utils import util
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class QAService:
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def __init__(self):
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# 人设提问关键字
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self.attribute_keyword = [
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[['你叫什么名字', '你的名字是什么'], 'name'],
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[['你是男的还是女的', '你是男生还是女生', '你的性别是什么', '你是男生吗', '你是女生吗', '你是男的吗', '你是女的吗', '你是男孩子吗', '你是女孩子吗', ], 'gender', ],
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[['你今年多大了', '你多大了', '你今年多少岁', '你几岁了', '你今年几岁了', '你今年几岁了', '你什么时候出生', '你的生日是什么', '你的年龄'], 'age', ],
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[['你的家乡在哪', '你的家乡是什么', '你家在哪', '你住在哪', '你出生在哪', '你的出生地在哪', '你的出生地是什么', ], 'birth', ],
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[['你的生肖是什么', '你属什么', ], 'zodiac', ],
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[['你是什么座', '你是什么星座', '你的星座是什么', ], 'constellation', ],
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[['你是做什么的', '你的职业是什么', '你是干什么的', '你的职位是什么', '你的工作是什么', '你是做什么工作的'], 'job', ],
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[['你的爱好是什么', '你有爱好吗', '你喜欢什么', '你喜欢做什么'], 'hobby'],
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[['联系方式', '联系你们', '怎么联系客服', '有没有客服'], 'contact']
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]
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self.command_keyword = [
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[['关闭', '再见', '你走吧'], 'stop'],
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[['静音', '闭嘴', '我想静静'], 'mute'],
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[['取消静音', '你在哪呢', '你可以说话了'], 'unmute'],
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[['换个性别', '换个声音'], 'changeVoice']
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]
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def question(self, query_type, text):
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if query_type == 'qa':
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answer_dict = self.__read_qna(cfg.config['interact'].get('QnA'))
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answer, action = self.__get_keyword(answer_dict, text, query_type)
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if action:
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MyThread(target=self.__run, args=[action]).start()
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return answer
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elif query_type == 'Persona':
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answer_dict = self.attribute_keyword
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answer, action = self.__get_keyword(answer_dict, text, query_type)
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elif query_type == 'command':
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answer, action = self.__get_keyword(self.command_keyword, text, query_type)
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return answer
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def __run(self, action):
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time.sleep(0.1)
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args = shlex.split(action) # 分割命令行参数
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subprocess.Popen(args)
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def __read_qna(self, filename):
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qna = []
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try:
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with open(filename, 'r', encoding='utf-8') as csvfile:
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reader = csv.reader(csvfile)
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next(reader) # 跳过表头
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for row in reader:
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if len(row) >= 2:
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qna.append([row[0].split(";"), row[1], row[2] if len(row) >= 3 else None])
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except Exception as e:
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pass
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return qna
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def record_qapair(self, question, answer):
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if not cfg.config['interact']['QnA'] or cfg.config['interact']['QnA'][-3:] != 'csv':
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util.log(1, 'qa文件没有指定，不记录大模型回复')
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return
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log_file = cfg.config['interact']['QnA'] # 指定 CSV 文件的名称或路径
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file_exists = os.path.isfile(log_file)
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with open(log_file, 'a', newline='', encoding='utf-8') as csvfile:
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writer = csv.writer(csvfile)
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if not file_exists:
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# 写入表头
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writer.writerow(['Question', 'Answer'])
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writer.writerow([question, answer])
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def __get_keyword(self, keyword_dict, text, query_type):
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last_similar = 0
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last_answer = ''
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last_action = ''
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for qa in keyword_dict:
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for quest in qa[0]:
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similar = self.__string_similar(text, quest)
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if quest in text:
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similar += 0.3
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if similar > last_similar:
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last_similar = similar
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last_answer = qa[1]
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if query_type == "qa":
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last_action = qa[2]
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if last_similar >= 0.6:
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return last_answer, last_action
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return None, None
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def __string_similar(self, s1, s2):
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return difflib.SequenceMatcher(None, s1, s2).quick_ratio()
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