更新API密钥管理，优化意图识别和Excel数据验证功能，增强日志记录，改进错误处理机制，支持文档检索功能，提升代码可读性和灵活性。

rag2_0/demo/extract_wikijs_nouns.py

@@ -135,11 +135,10 @@ class WikijsNounsExtractor:
                 parsed_output = self.terms_list_parser.parse(response.content)
                 return parsed_output.terms
             except Exception as e:
-                logging.error(f"解析LLM响应时出错: {str(e)}")
-                logging.error(f"原始响应: {response.content}")
+                logging.error(f"解析LLM响应时出错: {str(e)}", exc_info=True)
                 return []
         except Exception as e:
-            logging.error(f"提取专业名词时出错: {str(e)}")
+            logging.error(f"提取专业名词时出错: {str(e)}", exc_info=True)
             return []
     
     def _process_document(self, doc, path_terms):
@@ -182,7 +181,7 @@ class WikijsNounsExtractor:
                 
                 return path_prefix
         except Exception as e:
-            logging.error(f"处理文档 {doc['path']} 时出错: {str(e)}")
+            logging.error(f"处理文档 {doc['path']} 时出错: {str(e)}", exc_info=True)
             return None
     
     def process_all_documents(self, output_dir: str = "extracted_nouns", max_concurrency: int = 5):
@@ -237,7 +236,7 @@ class WikijsNounsExtractor:
                     if i % 10 == 0:
                         logging.info(f"已完成 {i+1}/{len(futures)} 个文档的处理")
                 except Exception as e:
-                    logging.error(f"处理文档时出错: {str(e)}")
+                    logging.error(f"处理文档时出错: {str(e)}", exc_info=True)
         
         # 保存最终结果
         for prefix, terms in path_terms.items():