Enhance report generation process with improved formatting and content management
- Introduced strict formatting guidelines for chapter content, prohibiting the use of Markdown headers and emphasizing the use of bold text for section titles. - Implemented a new method to save chapters along with their subsections into a single file, streamlining the report structure. - Added content cleaning functionality to remove duplicate titles and ensure proper formatting before saving. - Enhanced the report assembly process to include post-processing for title management and improved readability.
This commit is contained in:
666ghj
parent
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commit
8949ae6761
2 changed files with 403 additions and 72 deletions
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@ -603,6 +603,11 @@ class ReportAgent:
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logger.info(f"ReACT生成章节: {section.title}")
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# 构建系统prompt - 优化后强调工具使用和引用原文
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# 确定当前章节的标题级别
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section_level = 2 # 默认为二级标题（##）
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sub_heading_level = 3 # 子标题使用三级（###）
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sub_sub_heading_level = 4 # 更小的子标题使用四级（####）
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system_prompt = f"""你是一个专业的舆情分析报告撰写专家，正在撰写报告的一个章节。
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报告标题: {outline.title}
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@ -632,6 +637,44 @@ class ReportAgent:
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- 不要添加模拟中不存在的信息
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- 如果某方面信息不足，如实说明
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═══════════════════════════════════════════════════════════════
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【⚠️ 格式规范 - 极其重要！】
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═══════════════════════════════════════════════════════════════
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【一个章节 = 最小内容单位】
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- 每个章节是报告的最小分块单位
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- ❌ 禁止在章节内使用任何 Markdown 标题（#、##、###、#### 等）
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- ❌ 禁止在内容开头添加章节主标题
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- ✅ 章节标题由系统自动添加，你只需撰写纯正文内容
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- ✅ 使用**粗体**、段落分隔、引用、列表来组织内容，但不要用标题
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【正确示例】
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```
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本章节分析了事件的舆论传播态势。通过对模拟数据的深入分析，我们发现...
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**首发引爆阶段**
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微博作为舆情的第一现场，承担了信息首发的核心功能：
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> "微博贡献了68%的首发声量..."
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**情绪放大阶段**
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抖音平台进一步放大了事件影响力：
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- 视觉冲击力强
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- 情绪共鸣度高
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```
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【错误示例】
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```
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## 执行摘要 ← 错误！不要添加任何标题
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### 一、首发阶段 ← 错误！不要用###分小节
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#### 1.1 详细分析 ← 错误！不要用####细分
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本章节分析了...
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```
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═══════════════════════════════════════════════════════════════
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【可用检索工具】（建议每章节调用2-5次）
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═══════════════════════════════════════════════════════════════
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@ -662,32 +705,65 @@ class ReportAgent:
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1. 内容必须基于工具检索到的模拟数据
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2. 大量引用原文来展示模拟效果
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3. 使用Markdown格式：
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- 使用 > 引用重要原文
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- 使用 **粗体** 强调关键信息
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- 使用列表组织要点
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4. 保持与其他章节的逻辑连贯性
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5. 不要重复前面章节已详细描述的内容"""
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3. 使用Markdown格式（但禁止使用标题）：
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- 使用 **粗体文字** 标记重点（代替子标题）
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- 使用列表（-或1.2.3.）组织要点
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- 使用空行分隔不同段落
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- ❌ 禁止使用 #、##、###、#### 等任何标题语法
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4. 【引用格式规范 - 必须单独成段】
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引用必须独立成段，前后各有一个空行，不能混在段落中：
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# 构建用户prompt - 强调必须调用工具
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previous_content = "\n\n".join(previous_sections) if previous_sections else "（这是第一个章节）"
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user_prompt = f"""已完成的章节内容（参考以保持连贯性）：
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{previous_content[:2000]}
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✅ 正确格式：
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```
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校方的回应被认为缺乏实质内容。
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> "校方的应对模式在瞬息万变的社交媒体环境中显得僵化和迟缓。"
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这一评价反映了公众的普遍不满。
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```
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❌ 错误格式：
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```
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校方的回应被认为缺乏实质内容。> "校方的应对模式..." 这一评价反映了...
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```
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5. 保持与其他章节的逻辑连贯性
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6. 【避免重复】仔细阅读下方已完成的章节内容，不要重复描述相同的信息
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7. 【再次强调】不要添加任何标题！用**粗体**代替小节标题"""
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# 构建用户prompt - 每个已完成章节各传入最大4000字
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if previous_sections:
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previous_parts = []
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for sec in previous_sections:
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# 每个章节最多4000字
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truncated = sec[:4000] + "..." if len(sec) > 4000 else sec
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previous_parts.append(truncated)
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previous_content = "\n\n---\n\n".join(previous_parts)
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else:
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previous_content = "（这是第一个章节）"
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user_prompt = f"""已完成的章节内容（请仔细阅读，避免重复）：
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{previous_content}
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═══════════════════════════════════════════════════════════════
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【当前任务】撰写章节: {section.title}
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═══════════════════════════════════════════════════════════════
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【重要提醒】
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1. 开始前必须先调用工具获取模拟数据！
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2. 推荐先使用 insight_forge 进行深度检索
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3. 如需了解全貌可使用 panorama_search
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1. 仔细阅读上方已完成的章节，避免重复相同的内容！
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2. 开始前必须先调用工具获取模拟数据
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3. 推荐先使用 insight_forge 进行深度检索
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4. 报告内容必须来自检索结果，不要使用自己的知识
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【⚠️ 格式警告 - 必须遵守】
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- ❌ 不要写任何标题（#、##、###、####都不行）
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- ❌ 不要写"{section.title}"作为开头
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- ✅ 章节标题由系统自动添加
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- ✅ 直接写正文，用**粗体**代替小节标题
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请开始：
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1. 首先思考（Thought）这个章节需要什么信息
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2. 然后调用工具（Action）获取模拟数据
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3. 收集足够信息后输出 Final Answer"""
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3. 收集足够信息后输出 Final Answer（纯正文，无任何标题）"""
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messages = [
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{"role": "system", "content": system_prompt},
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@ -921,7 +997,7 @@ class ReportAgent:
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f"正在生成章节: {section.title} ({section_num}/{total_sections})"
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)
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# 生成章节内容
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# 生成主章节内容
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section_content = self._generate_section_react(
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section=section,
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outline=outline,
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@ -937,35 +1013,21 @@ class ReportAgent:
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section.content = section_content
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generated_sections.append(f"## {section.title}\n\n{section_content}")
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# 【关键】立即保存章节到文件
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ReportManager.save_section(report_id, section_num, section)
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completed_section_titles.append(section.title)
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logger.info(f"章节已保存: {report_id}/section_{section_num:02d}.md")
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# 更新进度
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ReportManager.update_progress(
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report_id, "generating",
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base_progress + int(70 / total_sections),
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f"章节 {section.title} 已完成",
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current_section=None,
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completed_sections=completed_section_titles
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)
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# 生成并保存子章节
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# 如果有子章节，也一并生成并合并到主章节中
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subsection_contents = []
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for j, subsection in enumerate(section.subsections):
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subsection_num = j + 1
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if progress_callback:
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progress_callback(
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"generating",
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base_progress + int(((j + 1) / len(section.subsections)) * 5),
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base_progress + int(((j + 1) / max(len(section.subsections), 1)) * 5),
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f"正在生成子章节: {subsection.title}"
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)
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ReportManager.update_progress(
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report_id, "generating",
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base_progress + int(((j + 1) / len(section.subsections)) * 5),
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base_progress + int(((j + 1) / max(len(section.subsections), 1)) * 5),
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f"正在生成子章节: {subsection.title}",
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current_section=subsection.title,
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completed_sections=completed_section_titles
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@ -979,15 +1041,27 @@ class ReportAgent:
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)
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subsection.content = subsection_content
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generated_sections.append(f"### {subsection.title}\n\n{subsection_content}")
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# 【关键】立即保存子章节到文件
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ReportManager.save_section(
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report_id, subsection_num, subsection,
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is_subsection=True, parent_index=section_num
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)
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subsection_contents.append((subsection.title, subsection_content))
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completed_section_titles.append(f" └─ {subsection.title}")
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logger.info(f"子章节已保存: {report_id}/section_{section_num:02d}_{subsection_num:02d}.md")
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logger.info(f"子章节已生成: {subsection.title}")
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# 【关键】将主章节和所有子章节合并保存到一个文件
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ReportManager.save_section_with_subsections(
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report_id, section_num, section, subsection_contents
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)
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completed_section_titles.append(section.title)
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logger.info(f"章节已保存（包含{len(subsection_contents)}个子章节）: {report_id}/section_{section_num:02d}.md")
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# 更新进度
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ReportManager.update_progress(
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report_id, "generating",
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base_progress + int(70 / total_sections),
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f"章节 {section.title} 已完成",
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current_section=None,
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completed_sections=completed_section_titles
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)
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# 阶段3: 组装完整报告
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if progress_callback:
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@ -1292,7 +1366,7 @@ class ReportManager:
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parent_index: int = None
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) -> str:
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"""
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保存单个章节
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保存单个章节（不推荐使用，建议使用 save_section_with_subsections）
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在每个章节生成完成后立即调用，实现分章节输出
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@ -1316,10 +1390,11 @@ class ReportManager:
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level = "##"
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file_suffix = f"section_{section_index:02d}.md"
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# 构建章节Markdown内容
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# 构建章节Markdown内容 - 清理可能存在的重复标题
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cleaned_content = cls._clean_section_content(section.content, section.title)
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md_content = f"{level} {section.title}\n\n"
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if section.content:
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md_content += f"{section.content}\n\n"
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if cleaned_content:
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md_content += f"{cleaned_content}\n\n"
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# 保存文件
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file_path = os.path.join(cls._get_report_folder(report_id), file_suffix)
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@ -1329,6 +1404,118 @@ class ReportManager:
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logger.info(f"章节已保存: {report_id}/{file_suffix}")
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return file_path
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@classmethod
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def save_section_with_subsections(
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cls,
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report_id: str,
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section_index: int,
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section: ReportSection,
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subsection_contents: List[tuple]
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) -> str:
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"""
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保存章节及其所有子章节到一个文件
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Args:
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report_id: 报告ID
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section_index: 章节索引（从1开始）
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section: 主章节对象
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subsection_contents: 子章节列表 [(title, content), ...]
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Returns:
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保存的文件路径
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"""
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cls._ensure_report_folder(report_id)
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# 构建主章节Markdown内容
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cleaned_main_content = cls._clean_section_content(section.content, section.title)
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md_content = f"## {section.title}\n\n"
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if cleaned_main_content:
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md_content += f"{cleaned_main_content}\n\n"
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# 添加所有子章节内容
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for sub_title, sub_content in subsection_contents:
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cleaned_sub_content = cls._clean_section_content(sub_content, sub_title)
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md_content += f"### {sub_title}\n\n"
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if cleaned_sub_content:
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md_content += f"{cleaned_sub_content}\n\n"
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# 保存文件
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file_suffix = f"section_{section_index:02d}.md"
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file_path = os.path.join(cls._get_report_folder(report_id), file_suffix)
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with open(file_path, 'w', encoding='utf-8') as f:
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f.write(md_content)
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logger.info(f"章节已保存（含{len(subsection_contents)}个子章节）: {report_id}/{file_suffix}")
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return file_path
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@classmethod
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def _clean_section_content(cls, content: str, section_title: str) -> str:
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"""
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清理章节内容
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1. 移除内容开头与章节标题重复的Markdown标题行
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2. 将所有 ### 及以下级别的标题转换为粗体文本
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Args:
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content: 原始内容
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section_title: 章节标题
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Returns:
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清理后的内容
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"""
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import re
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if not content:
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return content
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content = content.strip()
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lines = content.split('\n')
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cleaned_lines = []
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skip_next_empty = False
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for i, line in enumerate(lines):
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stripped = line.strip()
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# 检查是否是Markdown标题行
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heading_match = re.match(r'^(#{1,6})\s+(.+)$', stripped)
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if heading_match:
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level = len(heading_match.group(1))
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title_text = heading_match.group(2).strip()
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# 检查是否是与章节标题重复的标题（跳过前5行内的重复）
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if i < 5:
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if title_text == section_title or title_text.replace(' ', '') == section_title.replace(' ', ''):
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skip_next_empty = True
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continue
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# 将所有级别的标题（#, ##, ###, ####等）转换为粗体
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# 因为章节标题由系统添加，内容中不应有任何标题
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cleaned_lines.append(f"**{title_text}**")
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cleaned_lines.append("") # 添加空行
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continue
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# 如果上一行是被跳过的标题，且当前行为空，也跳过
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if skip_next_empty and stripped == '':
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skip_next_empty = False
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continue
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skip_next_empty = False
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cleaned_lines.append(line)
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# 移除开头的空行
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while cleaned_lines and cleaned_lines[0].strip() == '':
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cleaned_lines.pop(0)
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# 移除开头的分隔线
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while cleaned_lines and cleaned_lines[0].strip() in ['---', '***', '___']:
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cleaned_lines.pop(0)
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# 同时移除分隔线后的空行
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while cleaned_lines and cleaned_lines[0].strip() == '':
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cleaned_lines.pop(0)
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return '\n'.join(cleaned_lines)
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@classmethod
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def update_progress(
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cls,
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@ -1408,7 +1595,7 @@ class ReportManager:
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"""
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组装完整报告
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从已保存的章节文件组装完整报告
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从已保存的章节文件组装完整报告，并进行标题清理
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"""
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folder = cls._get_report_folder(report_id)
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@ -1417,11 +1604,17 @@ class ReportManager:
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md_content += f"> {outline.summary}\n\n"
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md_content += f"---\n\n"
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# 按顺序读取所有章节文件
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# 按顺序读取所有章节文件（只读取主章节文件，不读取子章节文件）
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sections = cls.get_generated_sections(report_id)
|
||||
for section_info in sections:
|
||||
# 跳过子章节文件（已合并到主章节中）
|
||||
if section_info.get("is_subsection", False):
|
||||
continue
|
||||
md_content += section_info["content"]
|
||||
|
||||
# 后处理：清理整个报告的标题问题
|
||||
md_content = cls._post_process_report(md_content, outline)
|
||||
|
||||
# 保存完整报告
|
||||
full_path = cls._get_report_markdown_path(report_id)
|
||||
with open(full_path, 'w', encoding='utf-8') as f:
|
||||
|
|
@ -1430,6 +1623,134 @@ class ReportManager:
|
|||
logger.info(f"完整报告已组装: {report_id}")
|
||||
return md_content
|
||||
|
||||
@classmethod
|
||||
def _post_process_report(cls, content: str, outline: ReportOutline) -> str:
|
||||
"""
|
||||
后处理报告内容
|
||||
|
||||
1. 移除重复的标题
|
||||
2. 保留报告主标题(#)和章节标题(##)，移除其他级别的标题(###, ####等)
|
||||
3. 清理多余的空行和分隔线
|
||||
|
||||
Args:
|
||||
content: 原始报告内容
|
||||
outline: 报告大纲
|
||||
|
||||
Returns:
|
||||
处理后的内容
|
||||
"""
|
||||
import re
|
||||
|
||||
lines = content.split('\n')
|
||||
processed_lines = []
|
||||
prev_was_heading = False
|
||||
|
||||
# 收集大纲中的所有章节标题
|
||||
section_titles = set()
|
||||
for section in outline.sections:
|
||||
section_titles.add(section.title)
|
||||
for sub in section.subsections:
|
||||
section_titles.add(sub.title)
|
||||
|
||||
i = 0
|
||||
while i < len(lines):
|
||||
line = lines[i]
|
||||
stripped = line.strip()
|
||||
|
||||
# 检查是否是标题行
|
||||
heading_match = re.match(r'^(#{1,6})\s+(.+)$', stripped)
|
||||
|
||||
if heading_match:
|
||||
level = len(heading_match.group(1))
|
||||
title = heading_match.group(2).strip()
|
||||
|
||||
# 检查是否是重复标题（在连续5行内出现相同内容的标题）
|
||||
is_duplicate = False
|
||||
for j in range(max(0, len(processed_lines) - 5), len(processed_lines)):
|
||||
prev_line = processed_lines[j].strip()
|
||||
prev_match = re.match(r'^(#{1,6})\s+(.+)$', prev_line)
|
||||
if prev_match:
|
||||
prev_title = prev_match.group(2).strip()
|
||||
if prev_title == title:
|
||||
is_duplicate = True
|
||||
break
|
||||
|
||||
if is_duplicate:
|
||||
# 跳过重复标题及其后的空行
|
||||
i += 1
|
||||
while i < len(lines) and lines[i].strip() == '':
|
||||
i += 1
|
||||
continue
|
||||
|
||||
# 标题层级处理：
|
||||
# - # (level=1) 只保留报告主标题
|
||||
# - ## (level=2) 保留章节标题
|
||||
# - ### 及以下 (level>=3) 转换为粗体文本
|
||||
|
||||
if level == 1:
|
||||
if title == outline.title:
|
||||
# 保留报告主标题
|
||||
processed_lines.append(line)
|
||||
prev_was_heading = True
|
||||
elif title in section_titles:
|
||||
# 章节标题错误使用了#，修正为##
|
||||
processed_lines.append(f"## {title}")
|
||||
prev_was_heading = True
|
||||
else:
|
||||
# 其他一级标题转为粗体
|
||||
processed_lines.append(f"**{title}**")
|
||||
processed_lines.append("")
|
||||
prev_was_heading = False
|
||||
elif level == 2:
|
||||
if title in section_titles or title == outline.title:
|
||||
# 保留章节标题
|
||||
processed_lines.append(line)
|
||||
prev_was_heading = True
|
||||
else:
|
||||
# 非章节的二级标题转为粗体
|
||||
processed_lines.append(f"**{title}**")
|
||||
processed_lines.append("")
|
||||
prev_was_heading = False
|
||||
else:
|
||||
# ### 及以下级别的标题转换为粗体文本
|
||||
processed_lines.append(f"**{title}**")
|
||||
processed_lines.append("")
|
||||
prev_was_heading = False
|
||||
|
||||
i += 1
|
||||
continue
|
||||
|
||||
elif stripped == '---' and prev_was_heading:
|
||||
# 跳过标题后紧跟的分隔线
|
||||
i += 1
|
||||
continue
|
||||
|
||||
elif stripped == '' and prev_was_heading:
|
||||
# 标题后只保留一个空行
|
||||
if processed_lines and processed_lines[-1].strip() != '':
|
||||
processed_lines.append(line)
|
||||
prev_was_heading = False
|
||||
|
||||
else:
|
||||
processed_lines.append(line)
|
||||
prev_was_heading = False
|
||||
|
||||
i += 1
|
||||
|
||||
# 清理连续的多个空行（保留最多2个）
|
||||
result_lines = []
|
||||
empty_count = 0
|
||||
for line in processed_lines:
|
||||
if line.strip() == '':
|
||||
empty_count += 1
|
||||
if empty_count <= 2:
|
||||
result_lines.append(line)
|
||||
else:
|
||||
empty_count = 0
|
||||
result_lines.append(line)
|
||||
|
||||
return '\n'.join(result_lines)
|
||||
|
||||
@classmethod
|
||||
def save_report(cls, report: Report) -> None:
|
||||
"""保存报告元信息和完整报告"""
|
||||
|
|
|
|||
|
|
@ -1009,22 +1009,29 @@ class ZepToolsService:
|
|||
result.semantic_facts = all_facts
|
||||
result.total_facts = len(all_facts)
|
||||
|
||||
# Step 3: 提取相关实体并获取详细信息
|
||||
all_nodes = self.get_all_nodes(graph_id)
|
||||
node_map = {n.uuid: n for n in all_nodes}
|
||||
|
||||
# 从边中提取涉及的实体
|
||||
# Step 3: 从边中提取相关实体UUID，只获取这些实体的信息（不获取全部节点）
|
||||
entity_uuids = set()
|
||||
for edge_data in all_edges:
|
||||
if isinstance(edge_data, dict):
|
||||
entity_uuids.add(edge_data.get('source_node_uuid', ''))
|
||||
entity_uuids.add(edge_data.get('target_node_uuid', ''))
|
||||
source_uuid = edge_data.get('source_node_uuid', '')
|
||||
target_uuid = edge_data.get('target_node_uuid', '')
|
||||
if source_uuid:
|
||||
entity_uuids.add(source_uuid)
|
||||
if target_uuid:
|
||||
entity_uuids.add(target_uuid)
|
||||
|
||||
# 获取实体详情
|
||||
# 只获取相关实体的详情（限制数量，避免获取过多）
|
||||
entity_insights = []
|
||||
for uuid in list(entity_uuids)[:30]: # 限制数量
|
||||
if uuid in node_map:
|
||||
node = node_map[uuid]
|
||||
node_map = {} # 用于后续关系链构建
|
||||
|
||||
for uuid in list(entity_uuids)[:50]: # 最多30个实体
|
||||
if not uuid:
|
||||
continue
|
||||
try:
|
||||
# 单独获取每个相关节点的信息
|
||||
node = self.get_node_detail(uuid)
|
||||
if node:
|
||||
node_map[uuid] = node
|
||||
entity_type = next((l for l in node.labels if l not in ["Entity", "Node"]), "实体")
|
||||
|
||||
# 获取该实体相关的事实
|
||||
|
|
@ -1040,6 +1047,9 @@ class ZepToolsService:
|
|||
"summary": node.summary,
|
||||
"related_facts": related_facts[:5]
|
||||
})
|
||||
except Exception as e:
|
||||
logger.debug(f"获取节点 {uuid} 失败: {e}")
|
||||
continue
|
||||
|
||||
result.entity_insights = entity_insights
|
||||
result.total_entities = len(entity_insights)
|
||||
|
|
|
|||
Loading…
Reference in a new issue