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
- 修复缺失的urllib.parse导入

backend/image_processor.py

@@ -33,6 +33,7 @@ try:
 except ImportError:
     PYTESSERACT_AVAILABLE = False
 
+
 @dataclass
 class ImageEntity:
     """图片中检测到的实体"""
@@ -42,6 +43,7 @@ class ImageEntity:
     confidence: float
     bbox: tuple[int, int, int, int] | None = None  # (x, y, width, height)
 
+
 @dataclass
 class ImageRelation:
     """图片中检测到的关系"""
@@ -51,6 +53,7 @@ class ImageRelation:
     relation_type: str
     confidence: float
 
+
 @dataclass
 class ImageProcessingResult:
     """图片处理结果"""
@@ -66,6 +69,7 @@ class ImageProcessingResult:
     success: bool
     error_message: str = ""
 
+
 @dataclass
 class BatchProcessingResult:
     """批量图片处理结果"""
@@ -75,6 +79,7 @@ class BatchProcessingResult:
     success_count: int
     failed_count: int
 
+
 class ImageProcessor:
     """图片处理器 - 处理各种类型图片"""
 
@@ -213,7 +218,10 @@ class ImageProcessor:
                 return "handwritten"
 
             # 检测是否为截图（可能有UI元素）
-            if any(keyword in ocr_text.lower() for keyword in ["button", "menu", "click", "登录", "确定", "取消"]):
+            if any(
+                keyword in ocr_text.lower()
+                for keyword in ["button", "menu", "click", "登录", "确定", "取消"]
+            ):
                 return "screenshot"
 
             # 默认文档类型
@@ -316,7 +324,9 @@ 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
 
@@ -346,7 +356,11 @@ class ImageProcessor:
         return " ".join(description_parts)
 
     def process_image(
-        self, image_data: bytes, filename: str = None, image_id: str = None, detect_type: bool = True
+        self,
+        image_data: bytes,
+        filename: str = None,
+        image_id: str = None,
+        detect_type: bool = True,
     ) -> ImageProcessingResult:
         """
         处理单张图片
@@ -469,7 +483,9 @@ 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
 
@@ -494,7 +510,10 @@ class ImageProcessor:
                 failed_count += 1
 
         return BatchProcessingResult(
-            results=results, total_count=len(results), success_count=success_count, failed_count=failed_count
+            results=results,
+            total_count=len(results),
+            success_count=success_count,
+            failed_count=failed_count,
         )
 
     def image_to_base64(self, image_data: bytes) -> str:
@@ -534,9 +553,11 @@ class ImageProcessor:
             print(f"Thumbnail generation error: {e}")
             return image_data
 
+
 # Singleton instance
 _image_processor = None
 
+
 def get_image_processor(temp_dir: str = None) -> ImageProcessor:
     """获取图片处理器单例"""
     global _image_processor