775ac129dc
select_model() 无参调用走了 V1 旧逻辑，无法正确解析 V2 格式的 default_model 配置（如 supreme_newapi:openai）。传入 config.default_model 作为 model_spec 参数，使模型选择走 V2 路径。 影响范围：知识库测试问题生成、知识库描述生成、思维导图生成
362 lines
12 KiB
Python
362 lines
12 KiB
Python
"""
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思维导图路由模块
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提供思维导图相关的API接口，包括：
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- 获取知识库文件列表
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- AI生成思维导图
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- 保存和加载思维导图配置
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"""
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import json
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import traceback
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import textwrap
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from fastapi import APIRouter, Body, Depends, HTTPException
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from yuxi.storage.postgres.models_business import User
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from server.utils.auth_middleware import get_admin_user
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from yuxi import config, knowledge_base
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from yuxi.models import select_model
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from yuxi.utils import logger
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mindmap = APIRouter(prefix="/mindmap", tags=["mindmap"])
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# =============================================================================
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# === 获取知识库文件列表 ===
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# =============================================================================
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MINDMAP_SYSTEM_PROMPT = """你是一个专业的知识整理助手。
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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。
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**核心规则：每个文件名只能出现一次！不允许重复！**
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要求：
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1. 思维导图要有清晰的层级结构（2-4层）
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2. 根节点是知识库名称
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3. 第一层是主要分类（如：技术文档、规章制度、数据资源等）
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4. 第二层是子分类
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5. **叶子节点必须是具体的文件名称**
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6. **每个文件名在整个思维导图中只能出现一次，不得重复！**
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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
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8. 使用合适的emoji图标增强可读性
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9. 返回JSON格式，遵循以下结构：
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```json
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{
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"content": "知识库名称",
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"children": [
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{
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"content": "🎯 主分类1",
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"children": [
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{
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"content": "子分类1.1",
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"children": [
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{"content": "文件名1.txt", "children": []},
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{"content": "文件名2.pdf", "children": []}
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]
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}
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]
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},
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{
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"content": "💻 主分类2",
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"children": [
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{"content": "文件名3.docx", "children": []},
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{"content": "文件名4.md", "children": []}
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]
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}
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]
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}
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```
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**重要约束：**
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- 每个文件名在整个JSON中只能出现一次
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- 不要按多个维度分类导致文件重复
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- 选择最主要、最合适的分类维度
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- 每个叶子节点的children必须是空数组[]
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- 分类名称要简洁明了
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- 使用emoji增强视觉效果
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"""
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@mindmap.get("/databases/{db_id}/files")
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async def get_database_files(db_id: str, current_user: User = Depends(get_admin_user)):
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"""
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获取指定知识库的所有文件列表
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Args:
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db_id: 知识库ID
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Returns:
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文件列表信息
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"""
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try:
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# 获取知识库详细信息
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db_info = await knowledge_base.get_database_info(db_id)
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if not db_info:
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raise HTTPException(status_code=404, detail=f"知识库 {db_id} 不存在")
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# 提取文件信息
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files = db_info.get("files", {})
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# 转换为列表格式
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file_list = []
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for file_id, file_info in files.items():
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file_list.append(
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{
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"file_id": file_id,
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"filename": file_info.get("filename", ""),
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"type": file_info.get("type", ""),
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"status": file_info.get("status", ""),
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"created_at": file_info.get("created_at", ""),
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}
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)
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return {
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"message": "success",
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"db_id": db_id,
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"db_name": db_info.get("name", ""),
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"files": file_list,
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"total": len(file_list),
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}
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"获取知识库文件列表失败: {e}, {traceback.format_exc()}")
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raise HTTPException(status_code=500, detail=f"获取文件列表失败: {str(e)}")
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# =============================================================================
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# === AI生成思维导图 ===
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# =============================================================================
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@mindmap.post("/generate")
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async def generate_mindmap(
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db_id: str = Body(..., description="知识库ID"),
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file_ids: list[str] = Body(default=[], description="选择的文件ID列表"),
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user_prompt: str = Body(default="", description="用户自定义提示词"),
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current_user: User = Depends(get_admin_user),
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):
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"""
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使用AI分析知识库文件，生成思维导图结构
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Args:
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db_id: 知识库ID
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file_ids: 选择的文件ID列表（为空则使用所有文件）
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user_prompt: 用户自定义提示词
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Returns:
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Markmap格式的思维导图数据
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"""
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try:
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# 获取知识库信息
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db_info = await knowledge_base.get_database_info(db_id)
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if not db_info:
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raise HTTPException(status_code=404, detail=f"知识库 {db_id} 不存在")
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db_name = db_info.get("name", "知识库")
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all_files = db_info.get("files", {})
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# 如果没有指定文件，则使用所有文件
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if not file_ids:
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file_ids = list(all_files.keys())
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if not file_ids:
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raise HTTPException(status_code=400, detail="知识库中没有文件")
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# 限制文件数量不超过100个，如果超过则选择前100个
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if len(file_ids) > 20:
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original_count = len(file_ids)
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file_ids = file_ids[:20]
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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")
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# 收集文件信息
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files_info = []
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for file_id in file_ids:
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if file_id in all_files:
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file_info = all_files[file_id]
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files_info.append(
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{
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"filename": file_info.get("filename", ""),
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"type": file_info.get("type", ""),
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}
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)
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if not files_info:
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raise HTTPException(status_code=400, detail="选择的文件不存在")
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# 构建AI提示词
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system_prompt = MINDMAP_SYSTEM_PROMPT
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# 构建用户消息
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files_text = "\n".join([f"- {f['filename']} ({f['type']})" for f in files_info])
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user_message = textwrap.dedent(f"""请为知识库"{db_name}"生成思维导图结构。
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文件列表（共{len(files_info)}个文件）：
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{files_text}
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{f"用户补充说明：{user_prompt}" if user_prompt else ""}
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**重要提醒：**
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1. 这个知识库共有{len(files_info)}个文件
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2. 每个文件名只能在思维导图中出现一次
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3. 不要让同一个文件出现在多个分类下
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4. 为每个文件选择最合适的唯一分类
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请生成合理的思维导图结构。""")
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# 调用AI生成
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logger.info(f"开始生成思维导图，知识库: {db_name}, 文件数量: {len(files_info)}")
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# 选择模型并调用
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model = select_model(model_spec=config.default_model)
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messages = [{"role": "system", "content": system_prompt}, {"role": "user", "content": user_message}]
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response = await model.call(messages, stream=False)
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# 解析AI返回的JSON
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try:
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# 提取JSON内容
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content = response.content if hasattr(response, "content") else str(response)
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# 尝试从markdown代码块中提取JSON
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if "```json" in content:
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json_start = content.find("```json") + 7
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json_end = content.find("```", json_start)
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content = content[json_start:json_end].strip()
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elif "```" in content:
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json_start = content.find("```") + 3
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json_end = content.find("```", json_start)
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content = content[json_start:json_end].strip()
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mindmap_data = json.loads(content)
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# 验证结构
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if not isinstance(mindmap_data, dict) or "content" not in mindmap_data:
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raise ValueError("思维导图结构不正确")
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logger.info("思维导图生成成功")
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# 保存思维导图到知识库元数据
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try:
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from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository
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await KnowledgeBaseRepository().update(db_id, {"mindmap": mindmap_data})
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logger.info(f"思维导图已保存到知识库: {db_id}")
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except Exception as save_error:
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logger.error(f"保存思维导图失败: {save_error}")
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# 不影响返回结果，只记录错误
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return {
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"message": "success",
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"mindmap": mindmap_data,
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"db_id": db_id,
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"db_name": db_name,
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"file_count": len(files_info),
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"original_file_count": original_count if "original_count" in locals() else len(files_info),
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"truncated": len(files_info) < (original_count if "original_count" in locals() else len(files_info)),
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}
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except json.JSONDecodeError as e:
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logger.error(f"AI返回的JSON解析失败: {e}, 原始内容: {content}")
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raise HTTPException(status_code=500, detail=f"AI返回格式错误: {str(e)}")
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"生成思维导图失败: {e}, {traceback.format_exc()}")
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raise HTTPException(status_code=500, detail=f"生成思维导图失败: {str(e)}")
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# =============================================================================
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# === 获取所有知识库概览（用于选择） ===
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# =============================================================================
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@mindmap.get("/databases")
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async def get_databases_overview(current_user: User = Depends(get_admin_user)):
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"""
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获取所有知识库的概览信息，用于思维导图界面选择（根据用户权限过滤）
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Returns:
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知识库列表
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"""
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try:
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databases = await knowledge_base.get_databases_by_user_id(current_user.user_id)
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# databases["databases"] 是一个列表，每个元素已经包含了基本信息
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db_list_raw = databases.get("databases", [])
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db_list = []
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for db_info in db_list_raw:
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db_id = db_info.get("db_id")
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if not db_id:
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continue
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# 获取详细信息以获取文件数量
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detail_info = await knowledge_base.get_database_info(db_id)
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file_count = len(detail_info.get("files", {})) if detail_info else 0
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db_list.append(
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{
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"db_id": db_id,
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"name": db_info.get("name", ""),
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"description": db_info.get("description", ""),
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"kb_type": db_info.get("kb_type", ""),
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"file_count": file_count,
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}
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)
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return {
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"message": "success",
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"databases": db_list,
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"total": len(db_list),
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}
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except Exception as e:
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logger.error(f"获取知识库列表失败: {e}, {traceback.format_exc()}")
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raise HTTPException(status_code=500, detail=f"获取知识库列表失败: {str(e)}")
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# =============================================================================
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# === 知识库关联的思维导图管理 ===
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# =============================================================================
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@mindmap.get("/database/{db_id}")
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async def get_database_mindmap(db_id: str, current_user: User = Depends(get_admin_user)):
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"""
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获取知识库关联的思维导图
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Args:
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db_id: 知识库ID
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Returns:
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思维导图数据
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"""
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try:
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from yuxi.repositories.knowledge_base_repository import KnowledgeBaseRepository
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kb_repo = KnowledgeBaseRepository()
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kb = await kb_repo.get_by_id(db_id)
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if kb is None:
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raise HTTPException(status_code=404, detail=f"知识库 {db_id} 不存在")
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return {
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"message": "success",
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"mindmap": kb.mindmap,
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"db_id": db_id,
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"db_name": kb.name,
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}
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"获取知识库思维导图失败: {e}, {traceback.format_exc()}")
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raise HTTPException(status_code=500, detail=f"获取思维导图失败: {str(e)}")
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