dev：更行要点审查模块的日志逻辑；

core/construction_review/component/ai_review_engine.py

@@ -769,7 +769,7 @@ class AIReviewEngine(BaseReviewer):
             chapter_classification = 'chunk_id'
             content = 'chunk_id'
             
-            logger.debug(f"开始执行 {name} 审查，trace_id: {trace_id_idx}, chunk_id: {chunk_id}, chapter_classification: {chapter_classification}")
+            logger.info(f"开始执行 {name} 审查，trace_id: {trace_id_idx}, chunk_id: {chunk_id}, chapter_classification: {chapter_classification}")
             
             # 检查必要字段
             if not chapter_classification:
@@ -787,22 +787,22 @@ class AIReviewEngine(BaseReviewer):
             prompt_config_path = base_dir / 'config' / 'prompt.yaml'
             api_config_path = base_dir / 'config' / 'llm_api.yaml'
             
-            logger.debug("=" * 60)
-            logger.debug("文件要点审查模块")
-            logger.debug("=" * 60)
+            logger.info("=" * 60)
+            logger.info("文件要点审查模块")
+            logger.info("=" * 60)
             
             # 1. 加载数据
-            logger.debug("\n[1/5] 加载规范文件...")
+            logger.info("\n[1/5] 加载规范文件...")
             data_loader = CSVDataLoader()
             specification = data_loader.load_specification(str(csv_path))
-            logger.debug(f"  加载完成，共 {len(specification)} 个标签类别")
+            logger.info(f"  加载完成，共 {len(specification)} 个标签类别")
             
-            logger.debug("\n[2/5] 加载文档数据...")
+            logger.info("\n[2/5] 加载文档数据...")
             documents =  review_content
-            logger.debug(f"  加载完成，共 {len(documents)} 个文档块")
+            logger.info(f"  加载完成，共 {len(documents)} 个文档块")
             
             # 2. 初始化组件
-            logger.debug("\n[3/5] 初始化组件...")
+            logger.info("\n[3/5] 初始化组件...")
             prompt_builder = PromptBuilder(str(prompt_config_path))
             llm_client = LLMClient(str(api_config_path))
             result_processor = ResultProcessor()
@@ -817,35 +817,35 @@ class AIReviewEngine(BaseReviewer):
                 result_processor=result_processor,
                 max_concurrent=concurrent_workers
             )
-            logger.debug("  组件初始化完成")
+            logger.info("  组件初始化完成")
             
             start_time = time.time()
             # 3. 执行审查
-            logger.debug("\n[4/5] 开始执行审查...")
-            logger.debug(f"  使用模型: {llm_client.model_type}")
-            logger.debug(f"  最大并发数: {concurrent_workers}")
+            logger.info("\n[4/5] 开始执行审查...")
+            logger.info(f"  使用模型: {llm_client.model_type}")
+            logger.info(f"  最大并发数: {concurrent_workers}")
             
             review_results = await review_pipeline.review(documents, specification)
             
             # 统计结果
             success_count = sum(1 for r in review_results if isinstance(r.get('review_result', {}), dict) and 'error' not in r.get('review_result', {}))
             error_count = len(review_results) - success_count
-            logger.debug(f"\n  审查完成: 成功 {success_count} 个, 失败 {error_count} 个")
+            logger.info(f"\n  审查完成: 成功 {success_count} 个, 失败 {error_count} 个")
 
 
             # 6. 使用结果解析处理组件，生成规范覆盖汇总表
-            logger.debug("\n[5/5] 生成规范要点覆盖汇总表...")
+            logger.info("\n[5/5] 生成规范要点覆盖汇总表...")
             analyzer = ResultAnalyzer(str(csv_path))
             processed_results = analyzer.process_results(review_results)
             spec_summary_csv_path = base_dir / 'output' / 'spec_review_summary.csv'
             summary_rows = analyzer.build_spec_summary(processed_results)
-            logger.debug(f"  规范覆盖汇总结果已保存至: {spec_summary_csv_path}")
+            logger.info(f"  规范覆盖汇总结果已保存至: {spec_summary_csv_path}")
 
             # 生成缺失要点 JSON 列表，便于前端消费
             missing_issue_json_path = Path(r'temp\document_temp') / 'spec_review_missing_issues.json'
             missing_issue_list = analyzer.build_missing_issue_list(summary_rows)
             write_json(missing_issue_list, str(missing_issue_json_path))
-            logger.debug(f"  缺失要点 JSON 已保存至: {missing_issue_json_path}")
+            logger.info(f"  缺失要点 JSON 已保存至: {missing_issue_json_path}")
             cost_time = time.time() - start_time
 
             # 构建details字段，包含审查结果
@@ -858,6 +858,7 @@ class AIReviewEngine(BaseReviewer):
             #     'checked_items': len(review_result),
             #     'response': review_result[0] if review_result else {},
             # }
+            
             result_list = []
             for index, missing_issue in enumerate(missing_issue_list):
                 details = {
@@ -878,7 +879,8 @@ class AIReviewEngine(BaseReviewer):
                     error_message=None,
                     execution_time=cost_time
                 )
-                
+
+                # 将ReviewResult对象转换为字典格式
                 result_dict = {"details":result.details,"success":result.success,"error_message":result.error_message,"execution_time":result.execution_time}
                 result_list.append(result_dict)
                 with open('temp/completeness_check_result_1.json','w',encoding='utf-8') as f:
@@ -904,7 +906,7 @@ class AIReviewEngine(BaseReviewer):
                             state_dict = json.loads(state)
                         except (json.JSONDecodeError, AttributeError):
                             pass
-                
+                # 更新进度
                 if state_dict and state_dict.get("progress_manager"):
                     asyncio.create_task(
                         state_dict["progress_manager"].update_stage_progress(
@@ -917,7 +919,7 @@ class AIReviewEngine(BaseReviewer):
                             event_type="processing"
                         )
                     )
-                logger.debug(f"{name} 审查完成 (chunk_id: {chunk_id}_{index})， 耗时: {result.execution_time:.2f}s")
+                logger.info(f"{name} 审查完成 (chunk_id: {chunk_id}_{index})， 耗时: {result.execution_time:.2f}s")
 
             return {
                         'completeness_review_result': result_list
@@ -1051,7 +1053,7 @@ class AIReviewEngine(BaseReviewer):
         if entity_query:
             logger.info(f"[非参数审查] 使用实体查询条文: {entity_query[:100]}...")
             combined_content = f"【实体查询条文】\n{entity_query}\n\n【待审查内容】\n{review_content}"
-            logger.debug(f"[非参数审查] 组合后内容长度: {len(combined_content)} (原内容: {len(review_content)}, 查询条文: {len(entity_query)})")
+            logger.info(f"[非参数审查] 组合后内容长度: {len(combined_content)} (原内容: {len(review_content)}, 查询条文: {len(entity_query)})")
         else:
             combined_content = review_content
 
@@ -1085,7 +1087,7 @@ class AIReviewEngine(BaseReviewer):
         if entity_query:
             logger.info(f"[参数审查] 使用实体查询条文: {entity_query[:100]}...")
             combined_content = f"【实体查询条文】\n{entity_query}\n\n【待审查内容】\n{review_content}"
-            logger.debug(f"[参数审查] 组合后内容长度: {len(combined_content)} (原内容: {len(review_content)}, 查询条文: {len(entity_query)})")
+            logger.info(f"[参数审查] 组合后内容长度: {len(combined_content)} (原内容: {len(review_content)}, 查询条文: {len(entity_query)})")
         else:
             combined_content = review_content