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/image_processor.py

@@ -4,11 +4,10 @@ InsightFlow Image Processor - Phase 7
 图片处理模块：识别白板、PPT、手写笔记等内容
 """
 
-import os
-import io
-import uuid
 import base64
-from typing import List, Optional, Tuple
+import io
+import os
+import uuid
 from dataclasses import dataclass
 
 # 尝试导入图像处理库
@@ -42,7 +41,7 @@ class ImageEntity:
     name: str
     type: str
     confidence: float
-    bbox: Optional[Tuple[int, int, int, int]] = None  # (x, y, width, height)
+    bbox: tuple[int, int, int, int] | None = None  # (x, y, width, height)
 
 
 @dataclass
@@ -63,8 +62,8 @@ class ImageProcessingResult:
     image_type: str  # whiteboard, ppt, handwritten, screenshot, other
     ocr_text: str
     description: str
-    entities: List[ImageEntity]
-    relations: List[ImageRelation]
+    entities: list[ImageEntity]
+    relations: list[ImageRelation]
     width: int
     height: int
     success: bool
@@ -75,7 +74,7 @@ class ImageProcessingResult:
 class BatchProcessingResult:
     """批量图片处理结果"""
 
-    results: List[ImageProcessingResult]
+    results: list[ImageProcessingResult]
     total_count: int
     success_count: int
     failed_count: int
@@ -231,7 +230,7 @@ class ImageProcessor:
             print(f"Image type detection error: {e}")
             return "other"
 
-    def perform_ocr(self, image, lang: str = "chi_sim+eng") -> Tuple[str, float]:
+    def perform_ocr(self, image, lang: str = "chi_sim+eng") -> tuple[str, float]:
         """
         对图片进行OCR识别
 
@@ -262,7 +261,7 @@ class ImageProcessor:
             print(f"OCR error: {e}")
             return "", 0.0
 
-    def extract_entities_from_text(self, text: str) -> List[ImageEntity]:
+    def extract_entities_from_text(self, text: str) -> list[ImageEntity]:
         """
         从OCR文本中提取实体
 
@@ -322,7 +321,7 @@ class ImageProcessor:
 
         return unique_entities
 
-    def generate_description(self, image_type: str, ocr_text: str, entities: List[ImageEntity]) -> str:
+    def generate_description(self, image_type: str, ocr_text: str, entities: list[ImageEntity]) -> str:
         """
         生成图片描述
 
@@ -435,7 +434,7 @@ class ImageProcessor:
                 error_message=str(e),
             )
 
-    def _extract_relations(self, entities: List[ImageEntity], text: str) -> List[ImageRelation]:
+    def _extract_relations(self, entities: list[ImageEntity], text: str) -> list[ImageRelation]:
         """
         从文本中提取实体关系
 
@@ -475,7 +474,7 @@ class ImageProcessor:
 
         return relations
 
-    def process_batch(self, images_data: List[Tuple[bytes, str]], project_id: str = None) -> BatchProcessingResult:
+    def process_batch(self, images_data: list[tuple[bytes, str]], project_id: str = None) -> BatchProcessingResult:
         """
         批量处理图片
 
@@ -515,7 +514,7 @@ class ImageProcessor:
         """
         return base64.b64encode(image_data).decode("utf-8")
 
-    def get_image_thumbnail(self, image_data: bytes, size: Tuple[int, int] = (200, 200)) -> bytes:
+    def get_image_thumbnail(self, image_data: bytes, size: tuple[int, int] = (200, 200)) -> bytes:
         """
         生成图片缩略图