136 lines
5.6 KiB
Python
136 lines
5.6 KiB
Python
import json
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import datetime
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from typing import Tuple
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from src.common.logger import get_module_logger
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from ..models.utils_model import LLM_request
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from ..config.config import global_config
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from .chat_observer import ChatObserver
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from ..message.message_base import UserInfo
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logger = get_module_logger("reply_checker")
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class ReplyChecker:
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"""回复检查器"""
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def __init__(self, stream_id: str):
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self.llm = LLM_request(
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model=global_config.llm_normal, temperature=0.7, max_tokens=1000, request_type="reply_check"
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)
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self.name = global_config.BOT_NICKNAME
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self.chat_observer = ChatObserver.get_instance(stream_id)
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self.max_retries = 2 # 最大重试次数
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async def check(self, reply: str, goal: str, retry_count: int = 0) -> Tuple[bool, str, bool]:
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"""检查生成的回复是否合适
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Args:
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reply: 生成的回复
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goal: 对话目标
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retry_count: 当前重试次数
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Returns:
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Tuple[bool, str, bool]: (是否合适, 原因, 是否需要重新规划)
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"""
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# 获取最新的消息记录
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messages = self.chat_observer.get_cached_messages(limit=5)
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chat_history_text = ""
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for msg in messages:
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time_str = datetime.datetime.fromtimestamp(msg["time"]).strftime("%H:%M:%S")
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user_info = UserInfo.from_dict(msg.get("user_info", {}))
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sender = user_info.user_nickname or f"用户{user_info.user_id}"
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if sender == self.name:
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sender = "你说"
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chat_history_text += f"{time_str},{sender}:{msg.get('processed_plain_text', '')}\n"
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prompt = f"""请检查以下回复是否合适：
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当前对话目标：{goal}
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最新的对话记录：
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{chat_history_text}
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待检查的回复：
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{reply}
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请检查以下几点：
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1. 回复是否依然符合当前对话目标和实现方式
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2. 回复是否与最新的对话记录保持一致性
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3. 回复是否重复发言，重复表达
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4. 回复是否包含违法违规内容（政治敏感、暴力等）
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5. 回复是否以你的角度发言,不要把"你"说的话当做对方说的话，这是你自己说的话
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请以JSON格式输出，包含以下字段：
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1. suitable: 是否合适 (true/false)
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2. reason: 原因说明
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3. need_replan: 是否需要重新规划对话目标 (true/false)，当发现当前对话目标不再适合时设为true
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输出格式示例：
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{{
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"suitable": true,
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"reason": "回复符合要求，内容得体",
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"need_replan": false
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}}
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注意：请严格按照JSON格式输出，不要包含任何其他内容。"""
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try:
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content, _ = await self.llm.generate_response_async(prompt)
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logger.debug(f"检查回复的原始返回: {content}")
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# 清理内容，尝试提取JSON部分
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content = content.strip()
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try:
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# 尝试直接解析
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result = json.loads(content)
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except json.JSONDecodeError:
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# 如果直接解析失败，尝试查找和提取JSON部分
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import re
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json_pattern = r"\{[^{}]*\}"
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json_match = re.search(json_pattern, content)
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if json_match:
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try:
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result = json.loads(json_match.group())
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except json.JSONDecodeError:
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# 如果JSON解析失败，尝试从文本中提取结果
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is_suitable = "不合适" not in content.lower() and "违规" not in content.lower()
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reason = content[:100] if content else "无法解析响应"
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need_replan = "重新规划" in content.lower() or "目标不适合" in content.lower()
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return is_suitable, reason, need_replan
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else:
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# 如果找不到JSON，从文本中判断
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is_suitable = "不合适" not in content.lower() and "违规" not in content.lower()
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reason = content[:100] if content else "无法解析响应"
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need_replan = "重新规划" in content.lower() or "目标不适合" in content.lower()
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return is_suitable, reason, need_replan
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# 验证JSON字段
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suitable = result.get("suitable", None)
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reason = result.get("reason", "未提供原因")
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need_replan = result.get("need_replan", False)
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# 如果suitable字段是字符串，转换为布尔值
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if isinstance(suitable, str):
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suitable = suitable.lower() == "true"
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# 如果suitable字段不存在或不是布尔值，从reason中判断
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if suitable is None:
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suitable = "不合适" not in reason.lower() and "违规" not in reason.lower()
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# 如果不合适且未达到最大重试次数，返回需要重试
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if not suitable and retry_count < self.max_retries:
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return False, reason, False
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# 如果不合适且已达到最大重试次数，返回需要重新规划
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if not suitable and retry_count >= self.max_retries:
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return False, f"多次重试后仍不合适: {reason}", True
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return suitable, reason, need_replan
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except Exception as e:
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logger.error(f"检查回复时出错: {e}")
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# 如果出错且已达到最大重试次数，建议重新规划
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if retry_count >= self.max_retries:
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return False, "多次检查失败，建议重新规划", True
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return False, f"检查过程出错，建议重试: {str(e)}", False
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