1. 统一为使用基于pydantic的.env环境变量管理配置
2. 全项目基于loguru进行日志管理
This commit is contained in:
@@ -6,6 +6,7 @@
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import json
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from typing import Dict, Any, List
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from json.decoder import JSONDecodeError
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from loguru import logger
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from .base_node import StateMutationNode
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from ..state.state import State
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@@ -27,7 +28,7 @@ try:
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FORUM_READER_AVAILABLE = True
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except ImportError:
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FORUM_READER_AVAILABLE = False
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print("警告: 无法导入forum_reader模块,将跳过HOST发言读取功能")
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logger.warning("警告: 无法导入forum_reader模块,将跳过HOST发言读取功能")
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class FirstSummaryNode(StateMutationNode):
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@@ -84,9 +85,9 @@ class FirstSummaryNode(StateMutationNode):
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if host_speech:
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# 将HOST发言添加到输入数据中
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data['host_speech'] = host_speech
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self.log_info(f"已读取HOST发言,长度: {len(host_speech)}字符")
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logger.info(f"已读取HOST发言,长度: {len(host_speech)}字符")
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except Exception as e:
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self.log_info(f"读取HOST发言失败: {str(e)}")
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logger.exception(f"读取HOST发言失败: {str(e)}")
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# 转换为JSON字符串
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message = json.dumps(data, ensure_ascii=False)
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@@ -96,7 +97,7 @@ class FirstSummaryNode(StateMutationNode):
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formatted_host = format_host_speech_for_prompt(data['host_speech'])
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message = formatted_host + "\n" + message
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self.log_info("正在生成首次段落总结")
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logger.info("正在生成首次段落总结")
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# 调用LLM生成总结
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response = self.llm_client.invoke(
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@@ -107,11 +108,11 @@ class FirstSummaryNode(StateMutationNode):
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# 处理响应
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processed_response = self.process_output(response)
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self.log_info("成功生成首次段落总结")
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logger.info("成功生成首次段落总结")
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return processed_response
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except Exception as e:
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self.log_error(f"生成首次总结失败: {str(e)}")
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logger.exception(f"生成首次总结失败: {str(e)}")
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raise e
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def process_output(self, output: str) -> str:
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@@ -130,26 +131,26 @@ class FirstSummaryNode(StateMutationNode):
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cleaned_output = clean_json_tags(cleaned_output)
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# 记录清理后的输出用于调试
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self.log_info(f"清理后的输出: {cleaned_output}")
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logger.info(f"清理后的输出: {cleaned_output}")
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# 解析JSON
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try:
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result = json.loads(cleaned_output)
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self.log_info("JSON解析成功")
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logger.info("JSON解析成功")
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except JSONDecodeError as e:
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self.log_info(f"JSON解析失败: {str(e)}")
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logger.exception(f"JSON解析失败: {str(e)}")
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# 尝试修复JSON
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fixed_json = fix_incomplete_json(cleaned_output)
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if fixed_json:
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try:
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result = json.loads(fixed_json)
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self.log_info("JSON修复成功")
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logger.info("JSON修复成功")
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except JSONDecodeError:
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self.log_info("JSON修复失败,直接使用清理后的文本")
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logger.exception("JSON修复失败,直接使用清理后的文本")
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# 如果不是JSON格式,直接返回清理后的文本
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return cleaned_output
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else:
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self.log_info("无法修复JSON,直接使用清理后的文本")
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logger.exception("无法修复JSON,直接使用清理后的文本")
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# 如果不是JSON格式,直接返回清理后的文本
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return cleaned_output
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@@ -163,7 +164,7 @@ class FirstSummaryNode(StateMutationNode):
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return cleaned_output
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except Exception as e:
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self.log_error(f"处理输出失败: {str(e)}")
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logger.exception(f"处理输出失败: {str(e)}")
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return "段落总结生成失败"
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def mutate_state(self, input_data: Any, state: State, paragraph_index: int, **kwargs) -> State:
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@@ -186,7 +187,7 @@ class FirstSummaryNode(StateMutationNode):
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# 更新状态
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if 0 <= paragraph_index < len(state.paragraphs):
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state.paragraphs[paragraph_index].research.latest_summary = summary
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self.log_info(f"已更新段落 {paragraph_index} 的首次总结")
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logger.info(f"已更新段落 {paragraph_index} 的首次总结")
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else:
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raise ValueError(f"段落索引 {paragraph_index} 超出范围")
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@@ -194,7 +195,7 @@ class FirstSummaryNode(StateMutationNode):
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return state
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except Exception as e:
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self.log_error(f"状态更新失败: {str(e)}")
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logger.exception(f"状态更新失败: {str(e)}")
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raise e
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@@ -252,9 +253,9 @@ class ReflectionSummaryNode(StateMutationNode):
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if host_speech:
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# 将HOST发言添加到输入数据中
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data['host_speech'] = host_speech
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self.log_info(f"已读取HOST发言,长度: {len(host_speech)}字符")
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logger.info(f"已读取HOST发言,长度: {len(host_speech)}字符")
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except Exception as e:
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self.log_info(f"读取HOST发言失败: {str(e)}")
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logger.exception(f"读取HOST发言失败: {str(e)}")
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# 转换为JSON字符串
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message = json.dumps(data, ensure_ascii=False)
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@@ -264,7 +265,7 @@ class ReflectionSummaryNode(StateMutationNode):
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formatted_host = format_host_speech_for_prompt(data['host_speech'])
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message = formatted_host + "\n" + message
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self.log_info("正在生成反思总结")
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logger.info("正在生成反思总结")
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# 调用LLM生成总结
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response = self.llm_client.invoke(
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@@ -275,11 +276,11 @@ class ReflectionSummaryNode(StateMutationNode):
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# 处理响应
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processed_response = self.process_output(response)
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self.log_info("成功生成反思总结")
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logger.info("成功生成反思总结")
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return processed_response
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except Exception as e:
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self.log_error(f"生成反思总结失败: {str(e)}")
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logger.exception(f"生成反思总结失败: {str(e)}")
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raise e
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def process_output(self, output: str) -> str:
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@@ -298,26 +299,26 @@ class ReflectionSummaryNode(StateMutationNode):
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cleaned_output = clean_json_tags(cleaned_output)
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# 记录清理后的输出用于调试
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self.log_info(f"清理后的输出: {cleaned_output}")
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logger.info(f"清理后的输出: {cleaned_output}")
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# 解析JSON
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try:
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result = json.loads(cleaned_output)
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self.log_info("JSON解析成功")
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logger.info("JSON解析成功")
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except JSONDecodeError as e:
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self.log_info(f"JSON解析失败: {str(e)}")
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logger.exception(f"JSON解析失败: {str(e)}")
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# 尝试修复JSON
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fixed_json = fix_incomplete_json(cleaned_output)
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if fixed_json:
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try:
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result = json.loads(fixed_json)
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self.log_info("JSON修复成功")
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logger.info("JSON修复成功")
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except JSONDecodeError:
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self.log_info("JSON修复失败,直接使用清理后的文本")
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logger.exception("JSON修复失败,直接使用清理后的文本")
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# 如果不是JSON格式,直接返回清理后的文本
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return cleaned_output
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else:
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self.log_info("无法修复JSON,直接使用清理后的文本")
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logger.exception("无法修复JSON,直接使用清理后的文本")
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# 如果不是JSON格式,直接返回清理后的文本
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return cleaned_output
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@@ -331,7 +332,7 @@ class ReflectionSummaryNode(StateMutationNode):
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return cleaned_output
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except Exception as e:
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self.log_error(f"处理输出失败: {str(e)}")
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logger.exception(f"处理输出失败: {str(e)}")
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return "反思总结生成失败"
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def mutate_state(self, input_data: Any, state: State, paragraph_index: int, **kwargs) -> State:
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@@ -355,7 +356,7 @@ class ReflectionSummaryNode(StateMutationNode):
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if 0 <= paragraph_index < len(state.paragraphs):
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state.paragraphs[paragraph_index].research.latest_summary = updated_summary
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state.paragraphs[paragraph_index].research.increment_reflection()
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self.log_info(f"已更新段落 {paragraph_index} 的反思总结")
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logger.info(f"已更新段落 {paragraph_index} 的反思总结")
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else:
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raise ValueError(f"段落索引 {paragraph_index} 超出范围")
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@@ -363,5 +364,5 @@ class ReflectionSummaryNode(StateMutationNode):
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return state
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except Exception as e:
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self.log_error(f"状态更新失败: {str(e)}")
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logger.exception(f"状态更新失败: {str(e)}")
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raise e
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