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/knowledge_reasoner.py

@@ -4,7 +4,6 @@ InsightFlow Knowledge Reasoning - Phase 5
 知识推理与问答增强模块
 """
 
-import json
 import json
 import os
 import re
@@ -83,7 +82,7 @@ class KnowledgeReasoner:
             return result["choices"][0]["message"]["content"]
 
     async def enhanced_qa(
-        self, query: str, project_context: dict, graph_data: dict, reasoning_depth: str = "medium"
+        self, query: str, project_context: dict, graph_data: dict, reasoning_depth: str = "medium",
     ) -> ReasoningResult:
         """
         增强问答 - 结合图谱推理的问答
@@ -140,7 +139,7 @@ class KnowledgeReasoner:
         return {"type": "factual", "entities": [], "intent": "general", "complexity": "simple"}
 
     async def _causal_reasoning(
-        self, query: str, project_context: dict, graph_data: dict
+        self, query: str, project_context: dict, graph_data: dict,
     ) -> ReasoningResult:
         """因果推理 - 分析原因和影响"""
 
@@ -201,7 +200,7 @@ class KnowledgeReasoner:
         )
 
     async def _comparative_reasoning(
-        self, query: str, project_context: dict, graph_data: dict
+        self, query: str, project_context: dict, graph_data: dict,
     ) -> ReasoningResult:
         """对比推理 - 比较实体间的异同"""
 
@@ -255,7 +254,7 @@ class KnowledgeReasoner:
         )
 
     async def _temporal_reasoning(
-        self, query: str, project_context: dict, graph_data: dict
+        self, query: str, project_context: dict, graph_data: dict,
     ) -> ReasoningResult:
         """时序推理 - 分析时间线和演变"""
 
@@ -309,7 +308,7 @@ class KnowledgeReasoner:
         )
 
     async def _associative_reasoning(
-        self, query: str, project_context: dict, graph_data: dict
+        self, query: str, project_context: dict, graph_data: dict,
     ) -> ReasoningResult:
         """关联推理 - 发现实体间的隐含关联"""
 
@@ -363,7 +362,7 @@ class KnowledgeReasoner:
         )
 
     def find_inference_paths(
-        self, start_entity: str, end_entity: str, graph_data: dict, max_depth: int = 3
+        self, start_entity: str, end_entity: str, graph_data: dict, max_depth: int = 3,
     ) -> list[InferencePath]:
         """
         发现两个实体之间的推理路径
@@ -384,7 +383,7 @@ class KnowledgeReasoner:
             adj[src].append({"target": tgt, "relation": r.get("type", "related"), "data": r})
             # 无向图也添加反向
             adj[tgt].append(
-                {"target": src, "relation": r.get("type", "related"), "data": r, "reverse": True}
+                {"target": src, "relation": r.get("type", "related"), "data": r, "reverse": True},
             )
 
         # BFS 搜索路径
@@ -405,7 +404,7 @@ class KnowledgeReasoner:
                         end_entity=end_entity,
                         path=path,
                         strength=self._calculate_path_strength(path),
-                    )
+                    ),
                 )
                 continue
 
@@ -420,7 +419,7 @@ class KnowledgeReasoner:
                             "entity": next_entity,
                             "relation": neighbor["relation"],
                             "relation_data": neighbor.get("data", {}),
-                        }
+                        },
                     ]
                     queue.append((next_entity, new_path))
 
@@ -450,7 +449,7 @@ class KnowledgeReasoner:
         return length_factor * confidence_factor
 
     async def summarize_project(
-        self, project_context: dict, graph_data: dict, summary_type: str = "comprehensive"
+        self, project_context: dict, graph_data: dict, summary_type: str = "comprehensive",
     ) -> dict:
         """
         项目智能总结