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/neo4j_manager.py

@@ -5,10 +5,9 @@ Phase 5: Neo4j 图数据库集成
 支持数据同步、复杂图查询和图算法分析
 """
 
-import os
 import json
 import logging
-from typing import List, Dict, Optional
+import os
 from dataclasses import dataclass
 
 logger = logging.getLogger(__name__)
@@ -20,7 +19,7 @@ NEO4J_PASSWORD = os.getenv("NEO4J_PASSWORD", "password")
 
 # 延迟导入，避免未安装时出错
 try:
-    from neo4j import GraphDatabase, Driver
+    from neo4j import Driver, GraphDatabase
 
     NEO4J_AVAILABLE = True
 except ImportError:
@@ -37,8 +36,8 @@ class GraphEntity:
     name: str
     type: str
     definition: str = ""
-    aliases: List[str] = None
-    properties: Dict = None
+    aliases: list[str] = None
+    properties: dict = None
 
     def __post_init__(self):
         if self.aliases is None:
@@ -56,7 +55,7 @@ class GraphRelation:
     target_id: str
     relation_type: str
     evidence: str = ""
-    properties: Dict = None
+    properties: dict = None
 
     def __post_init__(self):
         if self.properties is None:
@@ -67,8 +66,8 @@ class GraphRelation:
 class PathResult:
     """路径查询结果"""
 
-    nodes: List[Dict]
-    relationships: List[Dict]
+    nodes: list[dict]
+    relationships: list[dict]
     length: int
     total_weight: float = 0.0
 
@@ -78,7 +77,7 @@ class CommunityResult:
     """社区发现结果"""
 
     community_id: int
-    nodes: List[Dict]
+    nodes: list[dict]
     size: int
     density: float = 0.0
 
@@ -100,7 +99,7 @@ class Neo4jManager:
         self.uri = uri or NEO4J_URI
         self.user = user or NEO4J_USER
         self.password = password or NEO4J_PASSWORD
-        self._driver: Optional["Driver"] = None
+        self._driver: Driver | None = None
 
         if not NEO4J_AVAILABLE:
             logger.error("Neo4j driver not available. Please install: pip install neo4j")
@@ -226,7 +225,7 @@ class Neo4jManager:
                 properties=json.dumps(entity.properties),
             )
 
-    def sync_entities_batch(self, entities: List[GraphEntity]):
+    def sync_entities_batch(self, entities: list[GraphEntity]):
         """批量同步实体到 Neo4j"""
         if not self._driver or not entities:
             return
@@ -287,7 +286,7 @@ class Neo4jManager:
                 properties=json.dumps(relation.properties),
             )
 
-    def sync_relations_batch(self, relations: List[GraphRelation]):
+    def sync_relations_batch(self, relations: list[GraphRelation]):
         """批量同步关系到 Neo4j"""
         if not self._driver or not relations:
             return
@@ -350,7 +349,7 @@ class Neo4jManager:
 
     # ==================== 复杂图查询 ====================
 
-    def find_shortest_path(self, source_id: str, target_id: str, max_depth: int = 10) -> Optional[PathResult]:
+    def find_shortest_path(self, source_id: str, target_id: str, max_depth: int = 10) -> PathResult | None:
         """
         查找两个实体之间的最短路径
 
@@ -399,7 +398,7 @@ class Neo4jManager:
 
             return PathResult(nodes=nodes, relationships=relationships, length=len(path.relationships))
 
-    def find_all_paths(self, source_id: str, target_id: str, max_depth: int = 5, limit: int = 10) -> List[PathResult]:
+    def find_all_paths(self, source_id: str, target_id: str, max_depth: int = 5, limit: int = 10) -> list[PathResult]:
         """
         查找两个实体之间的所有路径
 
@@ -449,7 +448,7 @@ class Neo4jManager:
 
             return paths
 
-    def find_neighbors(self, entity_id: str, relation_type: str = None, limit: int = 50) -> List[Dict]:
+    def find_neighbors(self, entity_id: str, relation_type: str = None, limit: int = 50) -> list[dict]:
         """
         查找实体的邻居节点
 
@@ -502,7 +501,7 @@ class Neo4jManager:
 
             return neighbors
 
-    def find_common_neighbors(self, entity_id1: str, entity_id2: str) -> List[Dict]:
+    def find_common_neighbors(self, entity_id1: str, entity_id2: str) -> list[dict]:
         """
         查找两个实体的共同邻居（潜在关联）
 
@@ -533,7 +532,7 @@ class Neo4jManager:
 
     # ==================== 图算法分析 ====================
 
-    def calculate_pagerank(self, project_id: str, top_n: int = 20) -> List[CentralityResult]:
+    def calculate_pagerank(self, project_id: str, top_n: int = 20) -> list[CentralityResult]:
         """
         计算 PageRank 中心性
 
@@ -619,7 +618,7 @@ class Neo4jManager:
 
             return rankings
 
-    def calculate_betweenness(self, project_id: str, top_n: int = 20) -> List[CentralityResult]:
+    def calculate_betweenness(self, project_id: str, top_n: int = 20) -> list[CentralityResult]:
         """
         计算 Betweenness 中心性（桥梁作用）
 
@@ -663,7 +662,7 @@ class Neo4jManager:
 
             return rankings
 
-    def detect_communities(self, project_id: str) -> List[CommunityResult]:
+    def detect_communities(self, project_id: str) -> list[CommunityResult]:
         """
         社区发现（使用 Louvain 算法）
 
@@ -733,7 +732,7 @@ class Neo4jManager:
             results.sort(key=lambda x: x.size, reverse=True)
             return results
 
-    def find_central_entities(self, project_id: str, metric: str = "degree") -> List[CentralityResult]:
+    def find_central_entities(self, project_id: str, metric: str = "degree") -> list[CentralityResult]:
         """
         查找中心实体
 
@@ -791,7 +790,7 @@ class Neo4jManager:
 
     # ==================== 图统计 ====================
 
-    def get_graph_stats(self, project_id: str) -> Dict:
+    def get_graph_stats(self, project_id: str) -> dict:
         """
         获取项目的图统计信息
 
@@ -870,7 +869,7 @@ class Neo4jManager:
                 "density": round(relation_count / (entity_count * (entity_count - 1)), 4) if entity_count > 1 else 0,
             }
 
-    def get_subgraph(self, entity_ids: List[str], depth: int = 1) -> Dict:
+    def get_subgraph(self, entity_ids: list[str], depth: int = 1) -> dict:
         """
         获取指定实体的子图
 
@@ -959,7 +958,7 @@ def close_neo4j_manager():
 
 
 # 便捷函数
-def sync_project_to_neo4j(project_id: str, project_name: str, entities: List[Dict], relations: List[Dict]):
+def sync_project_to_neo4j(project_id: str, project_name: str, entities: list[dict], relations: list[dict]):
     """
     同步整个项目到 Neo4j