Method format_node_data

py/load_image_with_meta.py:25–77

格式化逻辑：保持你喜欢的 [ID] Type Value Link 格式

(self, prompt_data)

    FUNCTION = "load_image_with_metadata"

    def format_node_data(self, prompt_data):
        """
        格式化逻辑：保持你喜欢的 [ID] Type Value Link 格式
        """
        output_lines = []

        try:
            if isinstance(prompt_data, str):
                prompt_data = json.loads(prompt_data)
            
            # 按 Node ID 排序
            sorted_items = sorted(prompt_data.items(), key=lambda x: int(x[0]) if x[0].isdigit() else x[0])

            for node_id, node_data in sorted_items:
                class_type = node_data.get("class_type", "Unknown")
                inputs = node_data.get("inputs", {})

                # 1. Node ID
                output_lines.append(f"█ [ID: {node_id}]") 
                
                # 2. Type
                output_lines.append(f"   Type: {class_type}")
                
                params = []
                links = []

                for k, v in inputs.items():
                    # 判断是否为连线 [node_id, slot_index]
                    if isinstance(v, list) and len(v) == 2:
                        links.append(f"   ► Link ({k}): -> Node [{v[0]}]")
                    else:
                        str_v = str(v)
                        # 截断超长内容，避免文本框卡顿
                        if len(str_v) > 100:
                            str_v = str_v[:100] + "...(truncated)"
                        params.append(f"   • {k}: {str_v}")

                # 3. Values
                if params:
                    output_lines.append("   [Values]:")
                    output_lines.extend(params)
                
                # 4. Links
                if links:
                    output_lines.append("   [Links]:")
                    output_lines.extend(links)

                output_lines.append("-" * 30)

        except Exception as e:
            return f"Error parsing metadata: {str(e)}"

        return "\n".join(output_lines)

    def load_image_with_metadata(self, image):
        image_path = folder_paths.get_annotated_filepath(image)