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@@ -96,15 +96,23 @@ class PromptRetrievalNode(BaseNode):
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# 从temp目录下读取preceding_node中包含的markdown文件获取content列表
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content = []
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for node in preceding_node:
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- current_content = ""
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- with open(f"temp/{original_filename}_{node}.md", "r", encoding="utf-8") as f:
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- current_content = f.read()
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- content.append(current_content)
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+ try:
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+ current_content = ""
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+ with open(f"temp/{original_filename}_{node}.md", "r", encoding="utf-8") as f:
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+ current_content = f.read()
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+ if current_content:
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+ content.append(current_content)
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+ except FileNotFoundError:
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+ logger.warning(f"[Prompt-{self.dimension_id}] 未找到文件: temp/{original_filename}_{node}.md，跳过")
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+ continue
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+ except Exception as e:
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+ logger.error(f"[Prompt-{self.dimension_id}] 读取文件时出错: {str(e)}，跳过")
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+ continue
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# 判断content是否为空
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if not content:
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logger.info(f"[Prompt-{self.dimension_id}] preceding_node中没有内容")
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- return dimension_prompt
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+ return prompt_template.format(content="")
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chat_model = QWenVLParser()
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# 使用大语言模型对content列表中的content进行整合、压缩
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yingge