"""思维导图工具函数。""" import json import textwrap from typing import Any from yuxi import config, knowledge_base from yuxi.models import select_model from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository from yuxi.utils import logger MINDMAP_SYSTEM_PROMPT = """你是一个专业的知识整理助手。 你的任务是分析用户提供的文件列表，生成一个层次分明的思维导图结构。 **核心规则：每个文件名只能出现一次！不允许重复！** 要求： 1. 思维导图要有清晰的层级结构（2-4层） 2. 根节点是知识库名称 3. 第一层是主要分类（如：技术文档、规章制度、数据资源等） 4. 第二层是子分类 5. **叶子节点必须是具体的文件名称** 6. **每个文件名在整个思维导图中只能出现一次，不得重复！** 7. 如果一个文件可能属于多个分类，只选择最合适的一个分类放置 8. 使用合适的emoji图标增强可读性 9. 返回JSON格式，遵循以下结构： ```json { "content": "知识库名称", "children": [ { "content": "🎯 主分类1", "children": [ { "content": "子分类1.1", "children": [ {"content": "文件名1.txt", "children": []}, {"content": "文件名2.pdf", "children": []} ] } ] }, { "content": "💻 主分类2", "children": [ {"content": "文件名3.docx", "children": []}, {"content": "文件名4.md", "children": []} ] } ] } ``` **重要约束：** - 每个文件名在整个JSON中只能出现一次 - 不要按多个维度分类导致文件重复 - 选择最主要、最合适的分类维度 - 每个叶子节点的children必须是空数组[] - 分类名称要简洁明了 - 使用emoji增强视觉效果 """ class MindmapNotFoundError(ValueError): pass class MindmapValidationError(ValueError): pass class MindmapGenerationError(ValueError): pass def build_database_file_list(files: dict[str, dict[str, Any]]) -> list[dict[str, Any]]: return [ { "file_id": file_id, "filename": file_info.get("filename", ""), "type": file_info.get("type", ""), "status": file_info.get("status", ""), "created_at": file_info.get("created_at", ""), } for file_id, file_info in files.items() ] def collect_mindmap_files(all_files: dict[str, dict[str, Any]], file_ids: list[str]) -> list[dict[str, str]]: return [ { "filename": all_files[file_id].get("filename", ""), "type": all_files[file_id].get("type", ""), } for file_id in file_ids if file_id in all_files ] def build_mindmap_user_message(db_name: str, files_info: list[dict[str, str]], user_prompt: str = "") -> str: files_text = "\n".join([f"- {file_info['filename']} ({file_info['type']})" for file_info in files_info]) return textwrap.dedent(f"""请为知识库\"{db_name}\"生成思维导图结构。 文件列表（共{len(files_info)}个文件）： {files_text} {f"用户补充说明：{user_prompt}" if user_prompt else ""} **重要提醒：** 1. 这个知识库共有{len(files_info)}个文件 2. 每个文件名只能在思维导图中出现一次 3. 不要让同一个文件出现在多个分类下 4. 为每个文件选择最合适的唯一分类 请生成合理的思维导图结构。""") def parse_mindmap_content(content: str) -> dict[str, Any]: if "```json" in content: json_start = content.find("```json") + 7 json_end = content.find("```", json_start) content = content[json_start:json_end].strip() elif "```" in content: json_start = content.find("```") + 3 json_end = content.find("```", json_start) content = content[json_start:json_end].strip() mindmap_data = json.loads(content) if not isinstance(mindmap_data, dict) or "content" not in mindmap_data: raise ValueError("思维导图结构不正确") return mindmap_data async def get_mindmap_database_files(kb_id: str) -> dict[str, Any]: db_info = await knowledge_base.get_database_info(kb_id) if not db_info: raise MindmapNotFoundError(f"知识库 {kb_id} 不存在") file_list = build_database_file_list(db_info.get("files", {})) return { "message": "success", "kb_id": kb_id, "slug": kb_id, "db_name": db_info.get("name", ""), "files": file_list, "total": len(file_list), } async def generate_database_mindmap( kb_id: str, file_ids: list[str] | None = None, user_prompt: str = "" ) -> dict[str, Any]: db_info = await knowledge_base.get_database_info(kb_id) if not db_info: raise MindmapNotFoundError(f"知识库 {kb_id} 不存在") db_name = db_info.get("name", "知识库") all_files = db_info.get("files", {}) selected_file_ids = list(file_ids or all_files.keys()) if not selected_file_ids: raise MindmapValidationError("知识库中没有文件") original_count = len(selected_file_ids) if len(selected_file_ids) > 20: selected_file_ids = selected_file_ids[:20] logger.info(f"文件数量超过限制，已从{original_count}个文件中选择前20个文件生成思维导图") files_info = collect_mindmap_files(all_files, selected_file_ids) if not files_info: raise MindmapValidationError("选择的文件不存在") logger.info(f"开始生成思维导图，知识库: {db_name}, 文件数量: {len(files_info)}") model = select_model(model_spec=config.default_model) messages = [ {"role": "system", "content": MINDMAP_SYSTEM_PROMPT}, {"role": "user", "content": build_mindmap_user_message(db_name, files_info, user_prompt)}, ] response = await model.call(messages, stream=False) content = response.content if hasattr(response, "content") else str(response) try: mindmap_data = parse_mindmap_content(content) except ValueError as e: logger.error(f"AI返回的JSON解析失败: {e}, 原始内容: {content}") raise MindmapGenerationError(f"AI返回格式错误: {str(e)}") from e logger.info("思维导图生成成功") try: await KnowledgeBaseRepository().update(kb_id, {"mindmap": mindmap_data}) logger.info(f"思维导图已保存到知识库: {kb_id}") except Exception as save_error: logger.error(f"保存思维导图失败: {save_error}") return { "message": "success", "mindmap": mindmap_data, "kb_id": kb_id, "slug": kb_id, "db_name": db_name, "file_count": len(files_info), "original_file_count": original_count, "truncated": len(files_info) < original_count, } async def get_mindmap_databases_overview(uid: str) -> dict[str, Any]: databases = await knowledge_base.get_databases_by_uid(uid) db_list = [] for db_info in databases.get("databases", []): kb_id = db_info.get("kb_id") or db_info.get("slug") if not kb_id: continue detail_info = await knowledge_base.get_database_info(kb_id) file_count = len(detail_info.get("files", {})) if detail_info else 0 db_list.append( { "kb_id": kb_id, "slug": kb_id, "name": db_info.get("name", ""), "description": db_info.get("description", ""), "kb_type": db_info.get("kb_type", ""), "file_count": file_count, } ) return {"message": "success", "databases": db_list, "total": len(db_list)} async def get_database_mindmap_data(kb_id: str) -> dict[str, Any]: kb = await KnowledgeBaseRepository().get_by_kb_id(kb_id) if kb is None: raise MindmapNotFoundError(f"知识库 {kb_id} 不存在") return { "message": "success", "mindmap": kb.mindmap, "kb_id": kb_id, "slug": kb_id, "db_name": kb.name, }