Method process

modules/refinement_processor.py:135–243

处理入口 - 对问题区域进行Fallback补救 Args: context: 处理上下文 Returns: ProcessingResult，新增的元素会被添加到context.elements中

(self, context: ProcessingContext)

        self.refine_config = {**self.DEFAULT_CONFIG, **(config or {})}
    
    def process(self, context: ProcessingContext) -> ProcessingResult:
        """
        处理入口 - 对问题区域进行Fallback补救
        
        Args:
            context: 处理上下文
            
        Returns:
            ProcessingResult，新增的元素会被添加到context.elements中
        """
        self._log("开始二次处理（Fallback补救）")
        
        # 获取问题区域
        bad_regions = context.intermediate_results.get('bad_regions', [])
        
        if not bad_regions:
            self._log("没有问题区域需要处理")
            return ProcessingResult(
                success=True,
                elements=context.elements,
                canvas_width=context.canvas_width,
                canvas_height=context.canvas_height,
                metadata={
                    'new_elements_count': 0,
                    'regions_processed': 0,
                    'regions_skipped': 0
                }
            )
        
        # 加载原图
        if not context.image_path or not os.path.exists(context.image_path):
            return ProcessingResult(
                success=False,
                error_message="图片路径无效"
            )
        
        original_image = Image.open(context.image_path).convert("RGB")
        img_width, img_height = original_image.size
        img_area = img_width * img_height
        
        # 加载CV2图像用于白色检测
        cv2_image = None
        if self.refine_config.get('skip_if_mostly_white', True):
            cv2_image = cv2.imread(context.image_path)
        
        # 处理问题区域
        new_elements = []
        skipped_count = 0
        start_id = len(context.elements)
        
        # 获取配置参数
        min_area = self.refine_config.get('min_region_area', 100)
        min_ratio = self.refine_config.get('min_region_ratio', 0.0005)
        
        for i, region in enumerate(bad_regions):
            try:
                bbox = region.get('bbox', [])
                if len(bbox) != 4: