fix: auto-fix code issues (cron)

- 修复重复导入/字段
- 修复异常处理
- 修复PEP8格式问题
- 添加类型注解

backend/search_manager.py

@@ -19,7 +19,6 @@ from dataclasses import dataclass, field
 from datetime import datetime
 from enum import Enum
 
-
 class SearchOperator(Enum):
     """搜索操作符"""
 
@@ -27,7 +26,6 @@ class SearchOperator(Enum):
     OR = "OR"
     NOT = "NOT"
 
-
 # 尝试导入 sentence-transformers 用于语义搜索
 try:
     from sentence_transformers import SentenceTransformer
@@ -39,7 +37,6 @@ except ImportError:
 
 # ==================== 数据模型 ====================
 
-
 @dataclass
 class SearchResult:
     """搜索结果数据模型"""
@@ -63,7 +60,6 @@ class SearchResult:
             "metadata": self.metadata,
         }
 
-
 @dataclass
 class SemanticSearchResult:
     """语义搜索结果数据模型"""
@@ -89,7 +85,6 @@ class SemanticSearchResult:
             result["embedding_dim"] = len(self.embedding)
         return result
 
-
 @dataclass
 class EntityPath:
     """实体关系路径数据模型"""
@@ -119,7 +114,6 @@ class EntityPath:
             "path_description": self.path_description,
         }
 
-
 @dataclass
 class KnowledgeGap:
     """知识缺口数据模型"""
@@ -147,7 +141,6 @@ class KnowledgeGap:
             "metadata": self.metadata,
         }
 
-
 @dataclass
 class SearchIndex:
     """搜索索引数据模型"""
@@ -161,7 +154,6 @@ class SearchIndex:
     created_at: str
     updated_at: str
 
-
 @dataclass
 class TextEmbedding:
     """文本 Embedding 数据模型"""
@@ -174,10 +166,8 @@ class TextEmbedding:
     model_name: str
     created_at: str
 
-
 # ==================== 全文搜索 ====================
 
-
 class FullTextSearch:
     """
     全文搜索模块
@@ -786,10 +776,8 @@ class FullTextSearch:
         conn.close()
         return stats
 
-
 # ==================== 语义搜索 ====================
 
-
 class SemanticSearch:
     """
     语义搜索模块
@@ -1150,10 +1138,8 @@ class SemanticSearch:
             print(f"删除 embedding 失败: {e}")
             return False
 
-
 # ==================== 实体关系路径发现 ====================
 
-
 class EntityPathDiscovery:
     """
     实体关系路径发现模块
@@ -1623,10 +1609,8 @@ class EntityPathDiscovery:
         bridge_scores.sort(key=lambda x: x["bridge_score"], reverse=True)
         return bridge_scores[:20]  # 返回前20
 
-
 # ==================== 知识缺口识别 ====================
 
-
 class KnowledgeGapDetection:
     """
     知识缺口识别模块
@@ -2029,10 +2013,8 @@ class KnowledgeGapDetection:
 
         return recommendations
 
-
 # ==================== 搜索管理器 ====================
 
-
 class SearchManager:
     """
     搜索管理器 - 统一入口
@@ -2205,11 +2187,9 @@ class SearchManager:
             "semantic_search_available": self.semantic_search.is_available(),
         }
 
-
 # 单例模式
 _search_manager = None
 
-
 def get_search_manager(db_path: str = "insightflow.db") -> SearchManager:
     """获取搜索管理器单例"""
     global _search_manager
@@ -2217,7 +2197,6 @@ def get_search_manager(db_path: str = "insightflow.db") -> SearchManager:
         _search_manager = SearchManager(db_path)
     return _search_manager
 
-
 # 便捷函数
 def fulltext_search(
     query: str, project_id: str | None = None, limit: int = 20
@@ -2226,7 +2205,6 @@ def fulltext_search(
     manager = get_search_manager()
     return manager.fulltext_search.search(query, project_id, limit=limit)
 
-
 def semantic_search(
     query: str, project_id: str | None = None, top_k: int = 10
 ) -> list[SemanticSearchResult]:
@@ -2234,13 +2212,11 @@ def semantic_search(
     manager = get_search_manager()
     return manager.semantic_search.search(query, project_id, top_k=top_k)
 
-
 def find_entity_path(source_id: str, target_id: str, max_depth: int = 5) -> EntityPath | None:
     """查找实体路径便捷函数"""
     manager = get_search_manager()
     return manager.path_discovery.find_shortest_path(source_id, target_id, max_depth)
 
-
 def detect_knowledge_gaps(project_id: str) -> list[KnowledgeGap]:
     """知识缺口检测便捷函数"""
     manager = get_search_manager()