first commit
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ye1023
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//package org.jeecg;
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//
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//import org.springframework.boot.SpringApplication;
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//import org.springframework.boot.autoconfigure.SpringBootApplication;
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//
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//@SpringBootApplication
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//public class JeecgAiRagApplication {
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//
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// public static void main(String[] args) {
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// SpringApplication.run(JeecgAiRagApplication.class, args);
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// }
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//}
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+41
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package org.jeecg.modules.airag.app.consts;
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/**
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* AI应用常量类
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*
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* @author chenrui
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* @date 2025/2/25 14:52
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*/
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public class AiAppConsts {
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/**
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* 状态:启用
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*/
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public static final String STATUS_ENABLE = "enable";
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/**
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* 状态:禁用
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*/
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public static final String STATUS_DISABLE = "disable";
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/**
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* 状态:发布
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*/
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public static final String STATUS_RELEASE = "release";
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/**
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* 默认应用id
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*/
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public static final String DEFAULT_APP_ID = "default";
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/**
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* 应用类型:简单聊天
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*/
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public static final String APP_TYPE_CHAT_SIMPLE = "chatSimple";
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/**
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* 应用类型:聊天流(高级编排)
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*/
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public static final String APP_TYPE_CHAT_FLOW = "chatFLow";
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}
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+107
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package org.jeecg.modules.airag.app.consts;
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/**
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* @Description: 提示词常量
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* @Author: chenrui
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* @Date: 2025/3/12 15:03
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*/
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public class Prompts {
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/**
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* 根据提示生成智能体提示词
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*/
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public static final String GENERATE_LLM_PROMPT = "# 角色\n" +
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"你是一位专业且高效的AI提示词工程师，擅长根据用户多样化需求自动生成高质量的结构化提示词模板，具备全面而敏锐的分析能力和出色的创造力。\n" +
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"## 要求：\n" +
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"1. \"\"\"只输出提示词，不要输出多余解释\"\"\"\n" +
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"2. \"\"\"不要在前后增加代码块的md语法.\"\"\"\n" +
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"2. 贴合用户需求，描述智能助手的定位、能力、知识储备\n" +
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"3. 提示词应清晰、精确、易于理解，在保持质量的同时，尽可能简洁\n" +
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"4. 严格按照给定的流程和格式执行任务，确保输出规范准确。\n" +
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"\n" +
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"## 流程\n" +
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"### 1: 需求分析\n" +
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"1. 当用户描述需求时，严格运用SCQA框架确认核心要素，精准分析和联想：\"当前场景(Situation)是什么？主要矛盾(Complication)有哪些？需要解决的关键问题(Question)是？预期达成什么效果(Answer)？\"\n" +
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"2. 通过5W1H细致分析和联想细节：\"目标受众(Who)？使用场景(Where/When)？具体要实现什么(What)？为什么需要这些特征(Why)？如何量化效果(How)？\"\n" +
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"\n" +
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"### 2: 框架选择\n" +
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"根据需求从给定模板库中匹配最佳提示词类型：\n" +
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"* 角色扮演型：\n" +
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"```\n" +
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"你将扮演一个人物角色<角色名称>，以下是关于这个角色的详细设定，请根据这些信息来构建你的回答。 \n" +
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"\n" +
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"**人物基本信息：**\n" +
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"- 你是：<角色的名称、身份等基本介绍>\n" +
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"- 人称：第一人称\n" +
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"- 出身背景与上下文：<交代角色背景信息和上下文>\n" +
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"**性格特点：**\n" +
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"- <性格特点描述>\n" +
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"**语言风格：**\n" +
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"- <语言风格描述> \n" +
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"**人际关系：**\n" +
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"- <人际关系描述>\n" +
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"**过往经历：**\n" +
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"- <过往经历描述>\n" +
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"**经典台词或口头禅：**\n" +
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"补充信息: 即你可以将动作、神情语气、心理活动、故事背景放在（）中来表示，为对话提供补充信息。\n" +
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"- 台词1：<角色台词示例1> \n" +
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"- 台词2：<角色台词示例2>\n" +
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"- ...\n" +
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"\n" +
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"要求： \n" +
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"- 要求1\n" +
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"- 要求2\n" +
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"- ... \n" +
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"```\n" +
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"* 多步骤型：\n" +
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"```\n" +
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"# 角色 \n" +
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"你是<角色设定(比如:xx领域的专家)>\n" +
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"你的目标是<希望模型执行什么任务，达成什么目标>\n" +
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"\n" +
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"{#以下可以采用先总括，再展开详细说明的方式，描述你希望智能体在每一个步骤如何进行工作，具体的工作步骤数量可以根据实际需求增删#}\n" +
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"## 工作步骤 \n" +
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"1. <工作流程1的一句话概括> \n" +
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"2. <工作流程2的一句话概括> \n" +
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"3. <工作流程3的一句话概括>\n" +
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"\n" +
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"### 第一步 <工作流程1标题> \n" +
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"<工作流程步骤1的具体工作要求和举例说明，可以分点列出希望在本步骤做哪些事情，需要完成什么阶段性的工作目标>\n" +
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"### 第二步 <工作流程2标题> \n" +
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"<工作流程步骤2的具体工作要求和举例说明，可以分点列出希望在本步骤做哪些事情，需要完成什么阶段性的工作目标>\n" +
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"### 第三步 <工作流程3标题>\n" +
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"<工作流程步骤3的具体工作要求和举例说明，可以分点列出希望在本步骤做哪些事情，需要完成什么阶段性的工作目标>\n" +
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"```\n" +
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"* 限制性模板：\n" +
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"```\n" +
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"# 角色：<角色名称>\n" +
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"<角色概述和主要职责的一句话描述>\n" +
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"\n" +
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"## 目标：\n" +
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"<角色的工作目标，如果有多目标可以分点列出，但建议更聚焦1-2个目标>\n" +
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"\n" +
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"## 技能：\n" +
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"1. <为了实现目标，角色需要具备的技能1>\n" +
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"2. <为了实现目标，角色需要具备的技能2>\n" +
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"3. <为了实现目标，角色需要具备的技能3>\n" +
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"\n" +
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"## 工作流：\n" +
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"1. <描述角色工作流程的第一步>\n" +
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"2. <描述角色工作流程的第二步>\n" +
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"3. <描述角色工作流程的第三步>\n" +
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"\n" +
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"## 输出格式：\n" +
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"<如果对角色的输出格式有特定要求，可以在这里强调并举例说明想要的输出格式>\n" +
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"\n" +
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"## 限制：\n" +
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"- <描述角色在互动过程中需要遵循的限制条件1>\n" +
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"- <描述角色在互动过程中需要遵循的限制条件2>\n" +
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"- <描述角色在互动过程中需要遵循的限制条件3>\n" +
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"```\n" +
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"\n" +
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"### 3: 生成优化\n" +
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"1. 输出时自动添加三重保障机制：\n" +
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" - 反幻觉校验：\"所有数据需标注来源，不确定信息用[需核实]标记\"\n" +
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" - 风格校准器：\"对比[目标风格]与生成内容的余弦相似度，低于0.7时启动重写\"\n" +
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" - 伦理审查模块：\"自动过滤涉及隐私/偏见/违法内容，替换为[合规表达]\"";
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}
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+181
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package org.jeecg.modules.airag.app.controller;
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import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
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import com.baomidou.mybatisplus.core.metadata.IPage;
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import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.shiro.authz.annotation.RequiresPermissions;
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import org.jeecg.common.api.vo.Result;
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import org.jeecg.common.system.base.controller.JeecgController;
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import org.jeecg.common.system.query.QueryGenerator;
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import org.jeecg.common.util.AssertUtils;
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import org.jeecg.common.util.TokenUtils;
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import org.jeecg.config.mybatis.MybatisPlusSaasConfig;
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import org.jeecg.config.shiro.IgnoreAuth;
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import org.jeecg.modules.airag.app.consts.AiAppConsts;
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import org.jeecg.modules.airag.app.entity.AiragApp;
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import org.jeecg.modules.airag.app.service.IAiragAppService;
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import org.jeecg.modules.airag.app.service.IAiragChatService;
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import org.jeecg.modules.airag.app.vo.AppDebugParams;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.web.bind.annotation.*;
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import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
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import javax.servlet.http.HttpServletRequest;
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/**
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* @Description: AI应用
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* @Author: jeecg-boot
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* @Date: 2025-02-26
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* @Version: V1.0
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*/
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@RestController
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@RequestMapping("/airag/app")
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@Slf4j
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public class AiragAppController extends JeecgController<AiragApp, IAiragAppService> {
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@Autowired
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private IAiragAppService airagAppService;
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@Autowired
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private IAiragChatService airagChatService;
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/**
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* 分页列表查询
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*
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* @param airagApp
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* @param pageNo
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* @param pageSize
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* @param req
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* @return
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*/
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@GetMapping(value = "/list")
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public Result<IPage<AiragApp>> queryPageList(AiragApp airagApp,
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@RequestParam(name = "pageNo", defaultValue = "1") Integer pageNo,
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@RequestParam(name = "pageSize", defaultValue = "10") Integer pageSize,
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HttpServletRequest req) {
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QueryWrapper<AiragApp> queryWrapper = QueryGenerator.initQueryWrapper(airagApp, req.getParameterMap());
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Page<AiragApp> page = new Page<AiragApp>(pageNo, pageSize);
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IPage<AiragApp> pageList = airagAppService.page(page, queryWrapper);
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return Result.OK(pageList);
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}
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/**
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* 新增或编辑
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*
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* @param airagApp
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* @return
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*/
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@RequestMapping(value = "/edit", method = {RequestMethod.PUT, RequestMethod.POST})
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@RequiresPermissions("airag:app:edit")
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public Result<String> edit(@RequestBody AiragApp airagApp) {
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AssertUtils.assertNotEmpty("参数异常", airagApp);
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AssertUtils.assertNotEmpty("请输入应用名称", airagApp.getName());
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AssertUtils.assertNotEmpty("请选择应用类型", airagApp.getType());
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airagApp.setStatus(AiAppConsts.STATUS_ENABLE);
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airagAppService.saveOrUpdate(airagApp);
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return Result.OK("保存完成!", airagApp.getId());
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}
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/**
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* 发布应用
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*
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* @return
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*/
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@RequestMapping(value = "/release", method = RequestMethod.POST)
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public Result<String> release(@RequestParam(name = "id") String id, @RequestParam(name = "release") Boolean release) {
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AssertUtils.assertNotEmpty("id必须填写", id);
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if (release == null) {
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release = true;
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}
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AiragApp airagApp = new AiragApp();
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airagApp.setId(id);
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if (release) {
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airagApp.setStatus(AiAppConsts.STATUS_RELEASE);
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} else {
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airagApp.setStatus(AiAppConsts.STATUS_ENABLE);
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}
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airagAppService.updateById(airagApp);
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return Result.OK(release ? "发布成功" : "取消发布成功");
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}
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/**
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* 通过id删除
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*
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* @param id
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* @return
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*/
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@DeleteMapping(value = "/delete")
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@RequiresPermissions("airag:app:delete")
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public Result<String> delete(HttpServletRequest request,@RequestParam(name = "id", required = true) String id) {
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//update-begin---author:chenrui ---date:20250606 for：[issues/8337]关于ai工作列表的数据权限问题 #8337------------
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//如果是saas隔离的情况下，判断当前租户id是否是当前租户下的
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if (MybatisPlusSaasConfig.OPEN_SYSTEM_TENANT_CONTROL) {
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AiragApp app = airagAppService.getById(id);
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//获取当前租户
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String currentTenantId = TokenUtils.getTenantIdByRequest(request);
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if (null == app || !app.getTenantId().equals(currentTenantId)) {
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return Result.error("删除AI应用失败，不能删除其他租户的AI应用！");
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}
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}
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//update-end---author:chenrui ---date:20250606 for：[issues/8337]关于ai工作列表的数据权限问题 #8337------------
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airagAppService.removeById(id);
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return Result.OK("删除成功!");
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}
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/**
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* 通过id查询
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*
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* @param id
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* @return
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*/
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@IgnoreAuth
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@GetMapping(value = "/queryById")
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public Result<AiragApp> queryById(@RequestParam(name = "id", required = true) String id) {
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AiragApp airagApp = airagAppService.getById(id);
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if (airagApp == null) {
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return Result.error("未找到对应数据");
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}
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return Result.OK(airagApp);
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}
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/**
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* 调试应用
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*
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* @param appDebugParams
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* @return
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* @author chenrui
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* @date 2025/2/28 10:49
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*/
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@PostMapping(value = "/debug")
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public SseEmitter debugApp(@RequestBody AppDebugParams appDebugParams) {
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return airagChatService.debugApp(appDebugParams);
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}
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/**
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||||
* 根据需求生成提示词
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*
|
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* @param prompt
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||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/12 15:30
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||||
*/
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@GetMapping(value = "/prompt/generate")
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public Result<?> generatePrompt(@RequestParam(name = "prompt", required = true) String prompt) {
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return (Result<?>) airagAppService.generatePrompt(prompt,true);
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}
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||||
/**
|
||||
* 根据需求生成提示词
|
||||
*
|
||||
* @param prompt
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/12 15:30
|
||||
*/
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@PostMapping(value = "/prompt/generate")
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public SseEmitter generatePromptSse(@RequestParam(name = "prompt", required = true) String prompt) {
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return (SseEmitter) airagAppService.generatePrompt(prompt,false);
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}
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}
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+206
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package org.jeecg.modules.airag.app.controller;
|
||||
|
||||
import lombok.extern.slf4j.Slf4j;
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||||
import org.jeecg.common.api.vo.Result;
|
||||
import org.jeecg.common.constant.CommonConstant;
|
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import org.jeecg.common.util.CommonUtils;
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import org.jeecg.config.shiro.IgnoreAuth;
|
||||
import org.jeecg.modules.airag.app.service.IAiragChatService;
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import org.jeecg.modules.airag.app.vo.ChatConversation;
|
||||
import org.jeecg.modules.airag.app.vo.ChatSendParams;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.beans.factory.annotation.Value;
|
||||
import org.springframework.web.bind.annotation.*;
|
||||
import org.springframework.web.multipart.MultipartFile;
|
||||
import org.springframework.web.multipart.MultipartHttpServletRequest;
|
||||
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
|
||||
|
||||
import javax.servlet.http.HttpServletRequest;
|
||||
import javax.servlet.http.HttpServletResponse;
|
||||
|
||||
|
||||
/**
|
||||
* airag应用-chat
|
||||
*
|
||||
* @Author: chenrui
|
||||
* @Date: 2025-02-25 11:40
|
||||
*/
|
||||
@Slf4j
|
||||
@RestController
|
||||
@RequestMapping("/airag/chat")
|
||||
public class AiragChatController {
|
||||
|
||||
@Autowired
|
||||
IAiragChatService chatService;
|
||||
|
||||
@Value(value = "${jeecg.path.upload}")
|
||||
private String uploadpath;
|
||||
|
||||
/**
|
||||
* 本地：local minio：minio 阿里：alioss
|
||||
*/
|
||||
@Value(value="${jeecg.uploadType}")
|
||||
private String uploadType;
|
||||
|
||||
|
||||
/**
|
||||
* 发送消息
|
||||
*
|
||||
* @return 返回一个Result对象，表示发送消息的结果
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 11:42
|
||||
*/
|
||||
@IgnoreAuth
|
||||
@PostMapping(value = "/send")
|
||||
public SseEmitter send(@RequestBody ChatSendParams chatSendParams) {
|
||||
return chatService.send(chatSendParams);
|
||||
}
|
||||
|
||||
/**
|
||||
* 发送消息 <br/>
|
||||
* 兼容旧版浏览器
|
||||
* @param content
|
||||
* @param conversationId
|
||||
* @param topicId
|
||||
* @param appId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 18:13
|
||||
*/
|
||||
@GetMapping(value = "/send")
|
||||
public SseEmitter sendByGet(@RequestParam("content") String content,
|
||||
@RequestParam(value = "conversationId", required = false) String conversationId,
|
||||
@RequestParam(value = "topicId", required = false) String topicId,
|
||||
@RequestParam(value = "appId", required = false) String appId) {
|
||||
ChatSendParams chatSendParams = new ChatSendParams(content, conversationId, topicId, appId);
|
||||
return chatService.send(chatSendParams);
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取所有对话
|
||||
*
|
||||
* @return 返回一个Result对象，包含所有对话的信息
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 11:42
|
||||
*/
|
||||
@IgnoreAuth
|
||||
@GetMapping(value = "/init")
|
||||
public Result<?> initChat(@RequestParam(name = "id", required = true) String id) {
|
||||
return chatService.initChat(id);
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取所有对话
|
||||
*
|
||||
* @return 返回一个Result对象，包含所有对话的信息
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 11:42
|
||||
*/
|
||||
@IgnoreAuth
|
||||
@GetMapping(value = "/conversations")
|
||||
public Result<?> getConversations(@RequestParam(value = "appId", required = false) String appId) {
|
||||
return chatService.getConversations(appId);
|
||||
}
|
||||
|
||||
/**
|
||||
* 删除会话
|
||||
*
|
||||
* @param id
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/3 16:55
|
||||
*/
|
||||
@IgnoreAuth
|
||||
@DeleteMapping(value = "/conversation/{id}")
|
||||
public Result<?> deleteConversation(@PathVariable("id") String id) {
|
||||
return chatService.deleteConversation(id);
|
||||
}
|
||||
|
||||
/**
|
||||
* 更新会话标题
|
||||
*
|
||||
* @param updateTitleParams
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/3 16:55
|
||||
*/
|
||||
@IgnoreAuth
|
||||
@PutMapping(value = "/conversation/update/title")
|
||||
public Result<?> updateConversationTitle(@RequestBody ChatConversation updateTitleParams) {
|
||||
return chatService.updateConversationTitle(updateTitleParams);
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取消息
|
||||
*
|
||||
* @return 返回一个Result对象，包含消息的信息
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 11:42
|
||||
*/
|
||||
@IgnoreAuth
|
||||
@GetMapping(value = "/messages")
|
||||
public Result<?> getMessages(@RequestParam(value = "conversationId", required = true) String conversationId) {
|
||||
return chatService.getMessages(conversationId);
|
||||
}
|
||||
|
||||
/**
|
||||
* 清空消息
|
||||
*
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 11:42
|
||||
*/
|
||||
@IgnoreAuth
|
||||
@GetMapping(value = "/messages/clear/{conversationId}")
|
||||
public Result<?> clearMessage(@PathVariable(value = "conversationId") String conversationId) {
|
||||
return chatService.clearMessage(conversationId);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 根据请求ID停止某个请求的处理
|
||||
*
|
||||
* @param requestId 请求的唯一标识符，用于识别和停止特定的请求
|
||||
* @return 返回一个Result对象，表示停止请求的结果
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 11:42
|
||||
*/
|
||||
@IgnoreAuth
|
||||
@GetMapping(value = "/stop/{requestId}")
|
||||
public Result<?> stop(@PathVariable(name = "requestId", required = true) String requestId) {
|
||||
return chatService.stop(requestId);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 上传文件
|
||||
* for [QQYUN-12135]AI聊天，上传图片提示非法token
|
||||
*
|
||||
* @param request
|
||||
* @param response
|
||||
* @return
|
||||
* @throws Exception
|
||||
* @author chenrui
|
||||
* @date 2025/4/25 11:04
|
||||
*/
|
||||
@IgnoreAuth
|
||||
@PostMapping(value = "/upload")
|
||||
public Result<?> upload(HttpServletRequest request, HttpServletResponse response) throws Exception {
|
||||
String bizPath = "airag";
|
||||
|
||||
MultipartHttpServletRequest multipartRequest = (MultipartHttpServletRequest) request;
|
||||
// 获取上传文件对象
|
||||
MultipartFile file = multipartRequest.getFile("file");
|
||||
String savePath;
|
||||
if (CommonConstant.UPLOAD_TYPE_LOCAL.equals(uploadType)) {
|
||||
savePath = CommonUtils.uploadLocal(file, bizPath, uploadpath);
|
||||
} else {
|
||||
savePath = CommonUtils.upload(file, bizPath, uploadType);
|
||||
}
|
||||
Result<?> result = new Result<>();
|
||||
result.setMessage(savePath);
|
||||
result.setSuccess(true);
|
||||
return result;
|
||||
}
|
||||
|
||||
}
|
||||
+191
@@ -0,0 +1,191 @@
|
||||
package org.jeecg.modules.airag.app.entity;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.IdType;
|
||||
import com.baomidou.mybatisplus.annotation.TableField;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
import com.baomidou.mybatisplus.annotation.TableName;
|
||||
import com.fasterxml.jackson.annotation.JsonFormat;
|
||||
|
||||
import io.swagger.v3.oas.annotations.media.Schema;
|
||||
import lombok.Data;
|
||||
import lombok.EqualsAndHashCode;
|
||||
import lombok.experimental.Accessors;
|
||||
import org.jeecg.common.aspect.annotation.Dict;
|
||||
import org.jeecg.common.util.oConvertUtils;
|
||||
import org.jeecgframework.poi.excel.annotation.Excel;
|
||||
import org.springframework.format.annotation.DateTimeFormat;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* @Description: AI应用
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-26
|
||||
* @Version: V1.0
|
||||
*/
|
||||
@Data
|
||||
@TableName("airag_app")
|
||||
@Accessors(chain = true)
|
||||
@EqualsAndHashCode(callSuper = false)
|
||||
@Schema(description="AI应用")
|
||||
public class AiragApp implements Serializable {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
/**
|
||||
* 主键
|
||||
*/
|
||||
@TableId(type = IdType.ASSIGN_ID)
|
||||
@Schema(description = "主键")
|
||||
private java.lang.String id;
|
||||
/**
|
||||
* 创建人
|
||||
*/
|
||||
@Schema(description = "创建人")
|
||||
@Dict(dictTable = "sys_user",dicCode = "username",dicText = "realname")
|
||||
private java.lang.String createBy;
|
||||
/**
|
||||
* 创建日期
|
||||
*/
|
||||
@JsonFormat(timezone = "GMT+8", pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@Schema(description = "创建日期")
|
||||
private java.util.Date createTime;
|
||||
/**
|
||||
* 更新人
|
||||
*/
|
||||
@Schema(description = "更新人")
|
||||
private java.lang.String updateBy;
|
||||
/**
|
||||
* 更新日期
|
||||
*/
|
||||
@JsonFormat(timezone = "GMT+8", pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@Schema(description = "更新日期")
|
||||
private java.util.Date updateTime;
|
||||
/**
|
||||
* 所属部门
|
||||
*/
|
||||
@Schema(description = "所属部门")
|
||||
private java.lang.String sysOrgCode;
|
||||
/**
|
||||
* 租户id
|
||||
*/
|
||||
@Excel(name = "租户id", width = 15)
|
||||
@Schema(description = "租户id")
|
||||
private java.lang.String tenantId;
|
||||
/**
|
||||
* 应用名称
|
||||
*/
|
||||
@Excel(name = "应用名称", width = 15)
|
||||
@Schema(description = "应用名称")
|
||||
private java.lang.String name;
|
||||
/**
|
||||
* 应用描述
|
||||
*/
|
||||
@Excel(name = "应用描述", width = 15)
|
||||
@Schema(description = "应用描述")
|
||||
private java.lang.String descr;
|
||||
/**
|
||||
* 应用图标
|
||||
*/
|
||||
@Excel(name = "应用图标", width = 15)
|
||||
@Schema(description = "应用图标")
|
||||
private java.lang.String icon;
|
||||
/**
|
||||
* 应用类型
|
||||
*/
|
||||
@Excel(name = "应用类型", width = 15, dicCode = "ai_app_type")
|
||||
@Dict(dicCode = "ai_app_type")
|
||||
@Schema(description = "应用类型")
|
||||
private java.lang.String type;
|
||||
/**
|
||||
* 开场白
|
||||
*/
|
||||
@Excel(name = "开场白", width = 15)
|
||||
@Schema(description = "开场白")
|
||||
private java.lang.String prologue;
|
||||
/**
|
||||
* 预设问题
|
||||
*/
|
||||
@Excel(name = "预设问题", width = 15)
|
||||
@Schema(description = "预设问题")
|
||||
private java.lang.String presetQuestion;
|
||||
/**
|
||||
* 提示词
|
||||
*/
|
||||
@Excel(name = "提示词", width = 15)
|
||||
@Schema(description = "提示词")
|
||||
private java.lang.String prompt;
|
||||
/**
|
||||
* 模型配置
|
||||
*/
|
||||
@Excel(name = "模型配置", width = 15, dictTable = "airag_model where model_type = 'LLM' ", dicText = "name", dicCode = "id")
|
||||
@Dict(dictTable = "airag_model where model_type = 'LLM' ", dicText = "name", dicCode = "id")
|
||||
@Schema(description = "模型配置")
|
||||
private java.lang.String modelId;
|
||||
/**
|
||||
* 历史消息数
|
||||
*/
|
||||
@Excel(name = "历史消息数", width = 15)
|
||||
@Schema(description = "历史消息数")
|
||||
private java.lang.Integer msgNum;
|
||||
/**
|
||||
* 知识库
|
||||
*/
|
||||
@Excel(name = "知识库", width = 15, dictTable = "airag_knowledge where status = 'enable'", dicText = "name", dicCode = "id")
|
||||
@Dict(dictTable = "airag_knowledge where status = 'enable'", dicText = "name", dicCode = "id")
|
||||
@Schema(description = "知识库")
|
||||
private java.lang.String knowledgeIds;
|
||||
/**
|
||||
* 流程
|
||||
*/
|
||||
@Excel(name = "流程", width = 15, dictTable = "airag_flow where status = 'enable' ", dicText = "name", dicCode = "id")
|
||||
@Dict(dictTable = "airag_flow where status = 'enable' ", dicText = "name", dicCode = "id")
|
||||
@Schema(description = "流程")
|
||||
private java.lang.String flowId;
|
||||
/**
|
||||
* 快捷指令
|
||||
*/
|
||||
@Excel(name = "快捷指令", width = 15)
|
||||
@Schema(description = "快捷指令")
|
||||
private java.lang.String quickCommand;
|
||||
/**
|
||||
* 状态（enable=启用、disable=禁用、release=发布）
|
||||
*/
|
||||
@Excel(name = "状态", width = 15)
|
||||
@Schema(description = "状态")
|
||||
private java.lang.String status;
|
||||
|
||||
|
||||
/**
|
||||
* 元数据
|
||||
*/
|
||||
@Excel(name = "元数据", width = 15)
|
||||
@Schema(description = "元数据")
|
||||
private java.lang.String metadata;
|
||||
|
||||
/**
|
||||
* 知识库ids
|
||||
*/
|
||||
@TableField(exist = false)
|
||||
private List<String> knowIds;
|
||||
|
||||
/**
|
||||
* 获取知识库id
|
||||
*
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/28 11:45
|
||||
*/
|
||||
public List<String> getKnowIds() {
|
||||
if (oConvertUtils.isNotEmpty(knowledgeIds)) {
|
||||
String[] knowIds = knowledgeIds.split(",");
|
||||
return Arrays.asList(knowIds);
|
||||
} else {
|
||||
return new ArrayList<>(0);
|
||||
}
|
||||
}
|
||||
}
|
||||
+25
@@ -0,0 +1,25 @@
|
||||
package org.jeecg.modules.airag.app.mapper;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.InterceptorIgnore;
|
||||
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
|
||||
import org.jeecg.modules.airag.app.entity.AiragApp;
|
||||
|
||||
/**
|
||||
* @Description: AI应用
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-26
|
||||
* @Version: V1.0
|
||||
*/
|
||||
public interface AiragAppMapper extends BaseMapper<AiragApp> {
|
||||
|
||||
/**
|
||||
* 根据ID查询app信息(忽略租户)
|
||||
* @param id
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/4/21 16:03
|
||||
*/
|
||||
@InterceptorIgnore(tenantLine = "true")
|
||||
AiragApp getByIdIgnoreTenant(String id);
|
||||
|
||||
}
|
||||
+9
@@ -0,0 +1,9 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
|
||||
<mapper namespace="org.jeecg.modules.airag.app.mapper.AiragAppMapper">
|
||||
|
||||
<select id="getByIdIgnoreTenant" resultType="org.jeecg.modules.airag.app.entity.AiragApp">
|
||||
SELECT * FROM airag_app WHERE id = #{id}
|
||||
</select>
|
||||
|
||||
</mapper>
|
||||
+24
@@ -0,0 +1,24 @@
|
||||
package org.jeecg.modules.airag.app.service;
|
||||
|
||||
import com.baomidou.mybatisplus.extension.service.IService;
|
||||
import org.jeecg.common.api.vo.Result;
|
||||
import org.jeecg.modules.airag.app.entity.AiragApp;
|
||||
|
||||
/**
|
||||
* @Description: AI应用
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-26
|
||||
* @Version: V1.0
|
||||
*/
|
||||
public interface IAiragAppService extends IService<AiragApp> {
|
||||
|
||||
/**
|
||||
* 生成提示词
|
||||
* @param prompt
|
||||
* @return blocking 是否阻塞
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/12 14:45
|
||||
*/
|
||||
Object generatePrompt(String prompt,boolean blocking);
|
||||
}
|
||||
+105
@@ -0,0 +1,105 @@
|
||||
package org.jeecg.modules.airag.app.service;
|
||||
|
||||
import org.jeecg.common.api.vo.Result;
|
||||
import org.jeecg.modules.airag.app.vo.AppDebugParams;
|
||||
import org.jeecg.modules.airag.app.vo.ChatConversation;
|
||||
import org.jeecg.modules.airag.app.vo.ChatSendParams;
|
||||
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
|
||||
|
||||
/**
|
||||
* ai聊天
|
||||
*
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 13:36
|
||||
*/
|
||||
public interface IAiragChatService {
|
||||
|
||||
/**
|
||||
* 发送消息
|
||||
*
|
||||
* @param chatSendParams
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 13:39
|
||||
*/
|
||||
SseEmitter send(ChatSendParams chatSendParams);
|
||||
|
||||
|
||||
/**
|
||||
* 调试应用
|
||||
*
|
||||
* @param appDebugParams
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/28 10:49
|
||||
*/
|
||||
SseEmitter debugApp(AppDebugParams appDebugParams);
|
||||
|
||||
/**
|
||||
* 停止响应
|
||||
*
|
||||
* @param requestId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 17:17
|
||||
*/
|
||||
Result<?> stop(String requestId);
|
||||
|
||||
/**
|
||||
* 获取所有对话
|
||||
*
|
||||
* @param appId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/26 14:48
|
||||
*/
|
||||
Result<?> getConversations(String appId);
|
||||
|
||||
/**
|
||||
* 获取对话聊天记录
|
||||
*
|
||||
* @param conversationId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/26 15:16
|
||||
*/
|
||||
Result<?> getMessages(String conversationId);
|
||||
|
||||
/**
|
||||
* 删除会话
|
||||
*
|
||||
* @param conversationId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/3 16:55
|
||||
*/
|
||||
Result<?> deleteConversation(String conversationId);
|
||||
|
||||
/**
|
||||
* 更新会话标题
|
||||
* @param updateTitleParams
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/3 17:02
|
||||
*/
|
||||
Result<?> updateConversationTitle(ChatConversation updateTitleParams);
|
||||
|
||||
/**
|
||||
* 清空消息
|
||||
* @param conversationId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/3 19:49
|
||||
*/
|
||||
Result<?> clearMessage(String conversationId);
|
||||
|
||||
/**
|
||||
* 初始化聊天(忽略租户)
|
||||
* [QQYUN-12113]分享之后的聊天，应用、模型、知识库不根据租户查询
|
||||
* @param appId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/4/21 14:17
|
||||
*/
|
||||
Result<?> initChat(String appId);
|
||||
}
|
||||
+157
@@ -0,0 +1,157 @@
|
||||
package org.jeecg.modules.airag.app.service.impl;
|
||||
|
||||
import com.alibaba.fastjson.JSONObject;
|
||||
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
|
||||
import dev.langchain4j.data.message.AiMessage;
|
||||
import dev.langchain4j.data.message.ChatMessage;
|
||||
import dev.langchain4j.data.message.SystemMessage;
|
||||
import dev.langchain4j.data.message.UserMessage;
|
||||
import dev.langchain4j.model.output.FinishReason;
|
||||
import dev.langchain4j.service.TokenStream;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.jeecg.common.api.vo.Result;
|
||||
import org.jeecg.common.util.AssertUtils;
|
||||
import org.jeecg.common.util.UUIDGenerator;
|
||||
import org.jeecg.modules.airag.app.consts.Prompts;
|
||||
import org.jeecg.modules.airag.app.entity.AiragApp;
|
||||
import org.jeecg.modules.airag.app.mapper.AiragAppMapper;
|
||||
import org.jeecg.modules.airag.app.service.IAiragAppService;
|
||||
import org.jeecg.modules.airag.common.consts.AiragConsts;
|
||||
import org.jeecg.modules.airag.common.handler.AIChatParams;
|
||||
import org.jeecg.modules.airag.common.handler.IAIChatHandler;
|
||||
import org.jeecg.modules.airag.common.utils.AiragLocalCache;
|
||||
import org.jeecg.modules.airag.common.vo.event.EventData;
|
||||
import org.jeecg.modules.airag.common.vo.event.EventFlowData;
|
||||
import org.jeecg.modules.airag.common.vo.event.EventMessageData;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.stereotype.Service;
|
||||
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.Arrays;
|
||||
import java.util.List;
|
||||
import java.util.concurrent.atomic.AtomicBoolean;
|
||||
|
||||
/**
|
||||
* @Description: AI应用
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-26
|
||||
* @Version: V1.0
|
||||
*/
|
||||
@Slf4j
|
||||
@Service
|
||||
public class AiragAppServiceImpl extends ServiceImpl<AiragAppMapper, AiragApp> implements IAiragAppService {
|
||||
|
||||
@Autowired
|
||||
IAIChatHandler aiChatHandler;
|
||||
|
||||
@Override
|
||||
public Object generatePrompt(String prompt, boolean blocking) {
|
||||
AssertUtils.assertNotEmpty("请输入提示词", prompt);
|
||||
List<ChatMessage> messages = Arrays.asList(new SystemMessage(Prompts.GENERATE_LLM_PROMPT), new UserMessage(prompt));
|
||||
|
||||
AIChatParams params = new AIChatParams();
|
||||
params.setTemperature(0.8);
|
||||
params.setTopP(0.9);
|
||||
params.setPresencePenalty(0.1);
|
||||
params.setFrequencyPenalty(0.1);
|
||||
if(blocking){
|
||||
String promptValue = aiChatHandler.completionsByDefaultModel(messages, params);
|
||||
if (promptValue == null || promptValue.isEmpty()) {
|
||||
return Result.error("生成失败");
|
||||
}
|
||||
return Result.OK("success", promptValue);
|
||||
}else{
|
||||
SseEmitter emitter = new SseEmitter(-0L);
|
||||
// 异步运行(流式)
|
||||
TokenStream tokenStream = aiChatHandler.chatByDefaultModel(messages, params);
|
||||
/**
|
||||
* 是否正在思考
|
||||
*/
|
||||
AtomicBoolean isThinking = new AtomicBoolean(false);
|
||||
String requestId = UUIDGenerator.generate();
|
||||
// ai聊天响应逻辑
|
||||
tokenStream.onNext((String resMessage) -> {
|
||||
// 兼容推理模型
|
||||
if ("<think>".equals(resMessage)) {
|
||||
isThinking.set(true);
|
||||
resMessage = "> ";
|
||||
}
|
||||
if ("</think>".equals(resMessage)) {
|
||||
isThinking.set(false);
|
||||
resMessage = "\n\n";
|
||||
}
|
||||
if (isThinking.get()) {
|
||||
if (null != resMessage && resMessage.contains("\n")) {
|
||||
resMessage = "\n> ";
|
||||
}
|
||||
}
|
||||
EventData eventData = new EventData(requestId, null, EventData.EVENT_MESSAGE);
|
||||
EventMessageData messageEventData = EventMessageData.builder()
|
||||
.message(resMessage)
|
||||
.build();
|
||||
eventData.setData(messageEventData);
|
||||
try {
|
||||
String eventStr = JSONObject.toJSONString(eventData);
|
||||
log.debug("[AI应用]接收LLM返回消息:{}", eventStr);
|
||||
emitter.send(SseEmitter.event().data(eventStr));
|
||||
} catch (IOException e) {
|
||||
throw new RuntimeException(e);
|
||||
}
|
||||
})
|
||||
.onComplete((responseMessage) -> {
|
||||
// 记录ai的回复
|
||||
AiMessage aiMessage = responseMessage.content();
|
||||
FinishReason finishReason = responseMessage.finishReason();
|
||||
String respText = aiMessage.text();
|
||||
if (FinishReason.STOP.equals(finishReason) || null == finishReason) {
|
||||
// 正常结束
|
||||
EventData eventData = new EventData(requestId, null, EventData.EVENT_MESSAGE_END);
|
||||
try {
|
||||
log.debug("[AI应用]接收LLM返回消息完成:{}", respText);
|
||||
emitter.send(SseEmitter.event().data(eventData));
|
||||
} catch (IOException e) {
|
||||
throw new RuntimeException(e);
|
||||
}
|
||||
closeSSE(emitter, eventData);
|
||||
} else if (FinishReason.TOOL_EXECUTION.equals(finishReason)) {
|
||||
// 需要执行工具
|
||||
// TODO author: chenrui for: date:2025/3/7
|
||||
} else {
|
||||
// 异常结束
|
||||
log.error("调用模型异常:" + respText);
|
||||
if (respText.contains("insufficient Balance")) {
|
||||
respText = "大预言模型账号余额不足!";
|
||||
}
|
||||
EventData eventData = new EventData(requestId, null, EventData.EVENT_FLOW_ERROR);
|
||||
eventData.setData(EventFlowData.builder().success(false).message(respText).build());
|
||||
closeSSE(emitter, eventData);
|
||||
}
|
||||
})
|
||||
.onError((Throwable error) -> {
|
||||
// sse
|
||||
String errMsg = "调用大模型接口失败:" + error.getMessage();
|
||||
log.error(errMsg, error);
|
||||
EventData eventData = new EventData(requestId, null, EventData.EVENT_FLOW_ERROR);
|
||||
eventData.setData(EventFlowData.builder().success(false).message(errMsg).build());
|
||||
closeSSE(emitter, eventData);
|
||||
})
|
||||
.start();
|
||||
return emitter;
|
||||
}
|
||||
}
|
||||
|
||||
private static void closeSSE(SseEmitter emitter, EventData eventData) {
|
||||
try {
|
||||
// 发送完成事件
|
||||
emitter.send(SseEmitter.event().data(eventData));
|
||||
} catch (IOException e) {
|
||||
log.error("终止会话时发生错误", e);
|
||||
} finally {
|
||||
// 从缓存中移除emitter
|
||||
AiragLocalCache.remove(AiragConsts.CACHE_TYPE_SSE, eventData.getRequestId());
|
||||
// 关闭emitter
|
||||
emitter.complete();
|
||||
}
|
||||
}
|
||||
}
|
||||
+979
@@ -0,0 +1,979 @@
|
||||
package org.jeecg.modules.airag.app.service.impl;
|
||||
|
||||
import com.alibaba.fastjson.JSONObject;
|
||||
import dev.langchain4j.data.image.Image;
|
||||
import dev.langchain4j.data.message.*;
|
||||
import dev.langchain4j.model.output.FinishReason;
|
||||
import dev.langchain4j.service.TokenStream;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.jeecg.common.api.vo.Result;
|
||||
import org.jeecg.common.exception.JeecgBootBizTipException;
|
||||
import org.jeecg.common.system.api.ISysBaseAPI;
|
||||
import org.jeecg.common.system.util.JwtUtil;
|
||||
import org.jeecg.common.util.*;
|
||||
import org.jeecg.modules.airag.app.consts.AiAppConsts;
|
||||
import org.jeecg.modules.airag.app.entity.AiragApp;
|
||||
import org.jeecg.modules.airag.app.mapper.AiragAppMapper;
|
||||
import org.jeecg.modules.airag.app.service.IAiragAppService;
|
||||
import org.jeecg.modules.airag.app.service.IAiragChatService;
|
||||
import org.jeecg.modules.airag.app.vo.AppDebugParams;
|
||||
import org.jeecg.modules.airag.app.vo.ChatConversation;
|
||||
import org.jeecg.modules.airag.app.vo.ChatSendParams;
|
||||
import org.jeecg.modules.airag.common.consts.AiragConsts;
|
||||
import org.jeecg.modules.airag.common.handler.AIChatParams;
|
||||
import org.jeecg.modules.airag.common.handler.IAIChatHandler;
|
||||
import org.jeecg.modules.airag.common.utils.AiragLocalCache;
|
||||
import org.jeecg.modules.airag.common.vo.MessageHistory;
|
||||
import org.jeecg.modules.airag.common.vo.event.EventData;
|
||||
import org.jeecg.modules.airag.common.vo.event.EventFlowData;
|
||||
import org.jeecg.modules.airag.common.vo.event.EventMessageData;
|
||||
import org.jeecg.modules.airag.flow.consts.FlowConsts;
|
||||
import org.jeecg.modules.airag.flow.service.IAiragFlowService;
|
||||
import org.jeecg.modules.airag.flow.vo.api.FlowRunParams;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragModel;
|
||||
import org.jetbrains.annotations.NotNull;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.data.redis.core.BoundValueOperations;
|
||||
import org.springframework.data.redis.core.RedisTemplate;
|
||||
import org.springframework.stereotype.Service;
|
||||
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
|
||||
|
||||
import javax.servlet.http.HttpServletRequest;
|
||||
import java.io.IOException;
|
||||
import java.util.*;
|
||||
import java.util.concurrent.CompletableFuture;
|
||||
import java.util.concurrent.TimeUnit;
|
||||
import java.util.concurrent.atomic.AtomicBoolean;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
|
||||
/**
|
||||
* AI助手聊天Service
|
||||
*
|
||||
* @author chenrui
|
||||
* @date 2024/1/26 20:07
|
||||
*/
|
||||
@Service
|
||||
@Slf4j
|
||||
public class AiragChatServiceImpl implements IAiragChatService {
|
||||
|
||||
@Autowired
|
||||
IAIChatHandler aiChatHandler;
|
||||
|
||||
@Autowired
|
||||
RedisTemplate redisTemplate;
|
||||
|
||||
@Autowired
|
||||
AiragAppMapper airagAppMapper;
|
||||
|
||||
@Autowired
|
||||
IAiragFlowService airagFlowService;
|
||||
|
||||
@Autowired
|
||||
private ISysBaseAPI sysBaseApi;
|
||||
@Autowired
|
||||
private RedisUtil redisUtil;
|
||||
|
||||
@Override
|
||||
public SseEmitter send(ChatSendParams chatSendParams) {
|
||||
AssertUtils.assertNotEmpty("参数异常", chatSendParams);
|
||||
String userMessage = chatSendParams.getContent();
|
||||
AssertUtils.assertNotEmpty("至少发送一条消息", userMessage);
|
||||
|
||||
// 获取会话信息
|
||||
String conversationId = chatSendParams.getConversationId();
|
||||
String topicId = oConvertUtils.getString(chatSendParams.getTopicId(), UUIDGenerator.generate());
|
||||
// 获取app信息
|
||||
AiragApp app = null;
|
||||
if (oConvertUtils.isNotEmpty(chatSendParams.getAppId())) {
|
||||
app = airagAppMapper.getByIdIgnoreTenant(chatSendParams.getAppId());
|
||||
}
|
||||
ChatConversation chatConversation = getOrCreateChatConversation(app, conversationId);
|
||||
// 更新标题
|
||||
if (oConvertUtils.isEmpty(chatConversation.getTitle())) {
|
||||
chatConversation.setTitle(userMessage.length() > 5 ? userMessage.substring(0, 5) : userMessage);
|
||||
}
|
||||
// 发送消息
|
||||
return doChat(chatConversation, topicId, chatSendParams);
|
||||
}
|
||||
|
||||
@Override
|
||||
public SseEmitter debugApp(AppDebugParams appDebugParams) {
|
||||
AssertUtils.assertNotEmpty("参数异常", appDebugParams);
|
||||
String userMessage = appDebugParams.getContent();
|
||||
AssertUtils.assertNotEmpty("至少发送一条消息", userMessage);
|
||||
AssertUtils.assertNotEmpty("应用信息不能为空", appDebugParams.getApp());
|
||||
// 获取会话信息
|
||||
String topicId = oConvertUtils.getString(appDebugParams.getTopicId(), UUIDGenerator.generate());
|
||||
AiragApp app = appDebugParams.getApp();
|
||||
app.setId("__DEBUG_APP");
|
||||
ChatConversation chatConversation = getOrCreateChatConversation(app, topicId);
|
||||
// 发送消息
|
||||
SseEmitter emitter = doChat(chatConversation, topicId, appDebugParams);
|
||||
//保存会话
|
||||
saveChatConversation(chatConversation, true, null);
|
||||
return emitter;
|
||||
}
|
||||
|
||||
|
||||
@Override
|
||||
public Result<?> stop(String requestId) {
|
||||
AssertUtils.assertNotEmpty("requestId不能为空", requestId);
|
||||
// 从缓存中获取对应的SseEmitter
|
||||
SseEmitter emitter = AiragLocalCache.get(AiragConsts.CACHE_TYPE_SSE, requestId);
|
||||
if (emitter != null) {
|
||||
closeSSE(emitter, new EventData(requestId, null, EventData.EVENT_MESSAGE_END));
|
||||
return Result.ok("会话已成功终止");
|
||||
} else {
|
||||
return Result.error("未找到对应的会话");
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 关闭sse
|
||||
*
|
||||
* @param emitter
|
||||
* @param eventData
|
||||
* @throws IOException
|
||||
* @author chenrui
|
||||
* @date 2025/2/27 15:56
|
||||
*/
|
||||
private static void closeSSE(SseEmitter emitter, EventData eventData) {
|
||||
AssertUtils.assertNotEmpty("请求id不能为空", eventData);
|
||||
if (null == emitter) {
|
||||
log.warn("会话已关闭");
|
||||
return;
|
||||
}
|
||||
try {
|
||||
// 发送完成事件
|
||||
emitter.send(SseEmitter.event().data(eventData));
|
||||
} catch (Exception e) {
|
||||
log.error("终止会话时发生错误", e);
|
||||
try {
|
||||
// 防止异常冒泡
|
||||
emitter.completeWithError(e);
|
||||
} catch (Exception ignore) {}
|
||||
} finally {
|
||||
// 从缓存中移除emitter
|
||||
AiragLocalCache.remove(AiragConsts.CACHE_TYPE_SSE, eventData.getRequestId());
|
||||
// 关闭emitter
|
||||
try {
|
||||
emitter.complete();
|
||||
} catch (Exception ignore) {}
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public Result<?> getConversations(String appId) {
|
||||
if (oConvertUtils.isEmpty(appId)) {
|
||||
appId = AiAppConsts.DEFAULT_APP_ID;
|
||||
}
|
||||
String key = getConversationDirCacheKey(null);
|
||||
key = key + ":*";
|
||||
List<String> keys = redisUtil.scan(key);
|
||||
// 如果键集合为空，返回空列表
|
||||
if (keys.isEmpty()) {
|
||||
return Result.ok(Collections.emptyList());
|
||||
}
|
||||
|
||||
// 遍历键集合，获取对应的 ChatConversation 对象
|
||||
List<ChatConversation> conversations = new ArrayList<>();
|
||||
for (Object k : keys) {
|
||||
ChatConversation conversation = (ChatConversation) redisTemplate.boundValueOps(k).get();
|
||||
|
||||
if (conversation != null) {
|
||||
AiragApp app = conversation.getApp();
|
||||
if (null == app) {
|
||||
continue;
|
||||
}
|
||||
String conversationAppId = app.getId();
|
||||
if (appId.equals(conversationAppId)) {
|
||||
conversation.setApp(null);
|
||||
conversation.setMessages(null);
|
||||
conversations.add(conversation);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 对会话列表按创建时间降序排序
|
||||
conversations.sort((o1, o2) -> {
|
||||
Date date1 = o1.getCreateTime();
|
||||
Date date2 = o2.getCreateTime();
|
||||
if (date1 == null && date2 == null) {
|
||||
return 0;
|
||||
}
|
||||
if (date1 == null) {
|
||||
return 1;
|
||||
}
|
||||
if (date2 == null) {
|
||||
return -1;
|
||||
}
|
||||
return date2.compareTo(date1);
|
||||
});
|
||||
|
||||
// 返回结果
|
||||
return Result.ok(conversations);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Result<?> getMessages(String conversationId) {
|
||||
AssertUtils.assertNotEmpty("请先选择会话", conversationId);
|
||||
String key = getConversationCacheKey(conversationId, null);
|
||||
if (oConvertUtils.isEmpty(key)) {
|
||||
return Result.ok(Collections.emptyList());
|
||||
}
|
||||
ChatConversation chatConversation = (ChatConversation) redisTemplate.boundValueOps(key).get();
|
||||
if (oConvertUtils.isObjectEmpty(chatConversation)) {
|
||||
return Result.ok(Collections.emptyList());
|
||||
}
|
||||
return Result.ok(chatConversation.getMessages());
|
||||
}
|
||||
|
||||
@Override
|
||||
public Result<?> clearMessage(String conversationId) {
|
||||
AssertUtils.assertNotEmpty("请先选择会话", conversationId);
|
||||
String key = getConversationCacheKey(conversationId, null);
|
||||
if (oConvertUtils.isEmpty(key)) {
|
||||
return Result.ok(Collections.emptyList());
|
||||
}
|
||||
ChatConversation chatConversation = (ChatConversation) redisTemplate.boundValueOps(key).get();
|
||||
if (null != chatConversation && oConvertUtils.isObjectNotEmpty(chatConversation.getMessages())) {
|
||||
chatConversation.getMessages().clear();
|
||||
saveChatConversation(chatConversation);
|
||||
}
|
||||
return Result.ok();
|
||||
}
|
||||
|
||||
@Override
|
||||
public Result<?> initChat(String appId) {
|
||||
AiragApp app = airagAppMapper.getByIdIgnoreTenant(appId);
|
||||
return Result.ok(app);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Result<?> deleteConversation(String conversationId) {
|
||||
AssertUtils.assertNotEmpty("请选择要删除的会话", conversationId);
|
||||
String key = getConversationCacheKey(conversationId, null);
|
||||
if (oConvertUtils.isNotEmpty(key)) {
|
||||
Boolean delete = redisTemplate.delete(key);
|
||||
if (delete) {
|
||||
return Result.ok();
|
||||
} else {
|
||||
return Result.error("删除会话失败");
|
||||
}
|
||||
}
|
||||
log.warn("[ai-chat]删除会话:未找到会话:{}", conversationId);
|
||||
return Result.ok();
|
||||
}
|
||||
|
||||
@Override
|
||||
public Result<?> updateConversationTitle(ChatConversation updateTitleParams) {
|
||||
AssertUtils.assertNotEmpty("请先选择会话", updateTitleParams);
|
||||
AssertUtils.assertNotEmpty("请先选择会话", updateTitleParams.getId());
|
||||
AssertUtils.assertNotEmpty("请输入会话标题", updateTitleParams.getTitle());
|
||||
String key = getConversationCacheKey(updateTitleParams.getId(), null);
|
||||
if (oConvertUtils.isEmpty(key)) {
|
||||
log.warn("[ai-chat]删除会话:未找到会话:{}", updateTitleParams.getId());
|
||||
return Result.ok();
|
||||
}
|
||||
ChatConversation chatConversation = (ChatConversation) redisTemplate.boundValueOps(key).get();
|
||||
chatConversation.setTitle(updateTitleParams.getTitle());
|
||||
saveChatConversation(chatConversation);
|
||||
return Result.ok();
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取会话缓存key
|
||||
*
|
||||
* @param conversationId
|
||||
* @param httpRequest
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 19:27
|
||||
*/
|
||||
private String getConversationCacheKey(String conversationId, HttpServletRequest httpRequest) {
|
||||
if (oConvertUtils.isEmpty(conversationId)) {
|
||||
return null;
|
||||
}
|
||||
String key = getConversationDirCacheKey(httpRequest);
|
||||
key = key + ":" + conversationId;
|
||||
return key;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取当前用户会话的缓存目录
|
||||
*
|
||||
* @param httpRequest
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/26 15:09
|
||||
*/
|
||||
private String getConversationDirCacheKey(HttpServletRequest httpRequest) {
|
||||
String username = getUsername(httpRequest);
|
||||
// 如果用户不存在,获取当前请求的sessionid
|
||||
if (oConvertUtils.isEmpty(username)) {
|
||||
try {
|
||||
if (null == httpRequest) {
|
||||
httpRequest = SpringContextUtils.getHttpServletRequest();
|
||||
}
|
||||
username = httpRequest.getSession().getId();
|
||||
} catch (Exception e) {
|
||||
log.error("获取当前请求的sessionid失败", e);
|
||||
}
|
||||
}
|
||||
AssertUtils.assertNotEmpty("请先登录", username);
|
||||
return "airag:chat:" + username;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取会话
|
||||
*
|
||||
* @param app
|
||||
* @param conversationId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 19:19
|
||||
*/
|
||||
@NotNull
|
||||
private ChatConversation getOrCreateChatConversation(AiragApp app, String conversationId) {
|
||||
if (oConvertUtils.isObjectEmpty(app)) {
|
||||
app = new AiragApp();
|
||||
app.setId(AiAppConsts.DEFAULT_APP_ID);
|
||||
}
|
||||
ChatConversation chatConversation = null;
|
||||
String key = getConversationCacheKey(conversationId, null);
|
||||
if (oConvertUtils.isNotEmpty(key)) {
|
||||
chatConversation = (ChatConversation) redisTemplate.boundValueOps(key).get();
|
||||
}
|
||||
if (null == chatConversation) {
|
||||
chatConversation = createConversation(conversationId);
|
||||
}
|
||||
chatConversation.setApp(app);
|
||||
return chatConversation;
|
||||
}
|
||||
|
||||
/**
|
||||
* 创建新的会话
|
||||
*
|
||||
* @param conversationId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/26 15:53
|
||||
*/
|
||||
@NotNull
|
||||
private ChatConversation createConversation(String conversationId) {
|
||||
// 新会话
|
||||
conversationId = oConvertUtils.getString(conversationId, UUIDGenerator.generate());
|
||||
ChatConversation chatConversation = new ChatConversation();
|
||||
chatConversation.setId(conversationId);
|
||||
chatConversation.setCreateTime(new Date());
|
||||
return chatConversation;
|
||||
}
|
||||
|
||||
/**
|
||||
* 保存会话
|
||||
*
|
||||
* @param chatConversation
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 19:27
|
||||
*/
|
||||
private void saveChatConversation(ChatConversation chatConversation) {
|
||||
saveChatConversation(chatConversation, false, null);
|
||||
}
|
||||
|
||||
/**
|
||||
* 保存会话
|
||||
*
|
||||
* @param chatConversation
|
||||
* @param temp 是否临时会话
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 19:27
|
||||
*/
|
||||
private void saveChatConversation(ChatConversation chatConversation, boolean temp, HttpServletRequest httpRequest) {
|
||||
if (null == chatConversation) {
|
||||
return;
|
||||
}
|
||||
String key = getConversationCacheKey(chatConversation.getId(), httpRequest);
|
||||
if (oConvertUtils.isEmpty(key)) {
|
||||
return;
|
||||
}
|
||||
BoundValueOperations chatRedisCacheOp = redisTemplate.boundValueOps(key);
|
||||
chatRedisCacheOp.set(chatConversation);
|
||||
if (temp) {
|
||||
chatRedisCacheOp.expire(3, TimeUnit.HOURS);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 构造消息
|
||||
*
|
||||
* @param conversation
|
||||
* @param topicId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 15:26
|
||||
*/
|
||||
private List<ChatMessage> collateMessage(ChatConversation conversation, String topicId) {
|
||||
List<MessageHistory> messagesHistory = conversation.getMessages();
|
||||
if (oConvertUtils.isObjectEmpty(messagesHistory)) {
|
||||
return new LinkedList<>();
|
||||
}
|
||||
LinkedList<ChatMessage> chatMessages = new LinkedList<>();
|
||||
for (int i = messagesHistory.size() - 1; i >= 0; i--) {
|
||||
MessageHistory history = messagesHistory.get(i);
|
||||
if (topicId.equals(history.getTopicId())) {
|
||||
ChatMessage chatMessage = null;
|
||||
switch (history.getRole()) {
|
||||
case AiragConsts.MESSAGE_ROLE_USER:
|
||||
List<Content> contents = new ArrayList<>();
|
||||
List<MessageHistory.ImageHistory> images = history.getImages();
|
||||
if (oConvertUtils.isObjectNotEmpty(images) && !images.isEmpty()) {
|
||||
contents.addAll(images.stream().map(imageHistory -> {
|
||||
if (oConvertUtils.isNotEmpty(imageHistory.getUrl())) {
|
||||
return ImageContent.from(imageHistory.getUrl());
|
||||
} else {
|
||||
return ImageContent.from(imageHistory.getBase64Data(), imageHistory.getMimeType());
|
||||
}
|
||||
}).collect(Collectors.toList()));
|
||||
}
|
||||
contents.add(TextContent.from(history.getContent()));
|
||||
chatMessage = UserMessage.from(contents);
|
||||
break;
|
||||
case AiragConsts.MESSAGE_ROLE_AI:
|
||||
chatMessage = new AiMessage(history.getContent());
|
||||
break;
|
||||
}
|
||||
if (null == chatMessage) {
|
||||
continue;
|
||||
}
|
||||
chatMessages.addFirst(chatMessage);
|
||||
}
|
||||
}
|
||||
return chatMessages;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 追加消息
|
||||
*
|
||||
* @param messages
|
||||
* @param message
|
||||
* @param chatConversation
|
||||
* @param topicId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 19:05
|
||||
*/
|
||||
private void appendMessage(List<ChatMessage> messages, ChatMessage message, ChatConversation chatConversation, String topicId) {
|
||||
|
||||
if (message.type().equals(ChatMessageType.SYSTEM)) {
|
||||
// 系统消息,放到消息列表最前面,并且不记录历史
|
||||
messages.add(0, message);
|
||||
return;
|
||||
} else {
|
||||
messages.add(message);
|
||||
}
|
||||
List<MessageHistory> histories = chatConversation.getMessages();
|
||||
if (oConvertUtils.isObjectEmpty(histories)) {
|
||||
histories = new ArrayList<>();
|
||||
}
|
||||
// 消息记录
|
||||
MessageHistory historyMessage = MessageHistory.builder().conversationId(chatConversation.getId()).topicId(topicId).datetime(DateUtils.now()).build();
|
||||
if (message.type().equals(ChatMessageType.USER)) {
|
||||
historyMessage.setRole(AiragConsts.MESSAGE_ROLE_USER);
|
||||
StringBuilder textContent = new StringBuilder();
|
||||
List<MessageHistory.ImageHistory> images = new ArrayList<>();
|
||||
List<Content> contents = ((UserMessage) message).contents();
|
||||
contents.forEach(content -> {
|
||||
if (content.type().equals(ContentType.IMAGE)) {
|
||||
ImageContent imageContent = (ImageContent) content;
|
||||
Image image = imageContent.image();
|
||||
MessageHistory.ImageHistory imageMessage = MessageHistory.ImageHistory.from(image.url(), image.base64Data(), image.mimeType());
|
||||
images.add(imageMessage);
|
||||
} else if (content.type().equals(ContentType.TEXT)) {
|
||||
textContent.append(((TextContent) content).text()).append("\n");
|
||||
}
|
||||
});
|
||||
historyMessage.setContent(textContent.toString());
|
||||
historyMessage.setImages(images);
|
||||
} else if (message.type().equals(ChatMessageType.AI)) {
|
||||
historyMessage.setRole(AiragConsts.MESSAGE_ROLE_AI);
|
||||
historyMessage.setContent(((AiMessage) message).text());
|
||||
}
|
||||
histories.add(historyMessage);
|
||||
chatConversation.setMessages(histories);
|
||||
}
|
||||
|
||||
/**
|
||||
* 发送聊天消息
|
||||
*
|
||||
* @param chatConversation
|
||||
* @param topicId
|
||||
* @param sendParams
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/28 11:04
|
||||
*/
|
||||
@NotNull
|
||||
private SseEmitter doChat(ChatConversation chatConversation, String topicId, ChatSendParams sendParams) {
|
||||
// 从历史消息中组装本次的消息列表
|
||||
List<ChatMessage> messages = collateMessage(chatConversation, topicId);
|
||||
|
||||
AiragApp aiApp = chatConversation.getApp();
|
||||
// 每次会话都生成一个新的,用来缓存emitter
|
||||
String requestId = UUIDGenerator.generate();
|
||||
SseEmitter emitter = new SseEmitter(-0L);
|
||||
emitter.onError(throwable -> {
|
||||
log.warn("SEE向客户端发送消息失败: {}", throwable.getMessage());
|
||||
AiragLocalCache.remove(AiragConsts.CACHE_TYPE_SSE, requestId);
|
||||
try {
|
||||
emitter.complete();
|
||||
} catch (Exception ignore) {}
|
||||
});
|
||||
EventData eventRequestId = new EventData(requestId, null, EventData.EVENT_INIT_REQUEST_ID, chatConversation.getId(), topicId);
|
||||
eventRequestId.setData(EventMessageData.builder().message("").build());
|
||||
sendMessage2Client(emitter, eventRequestId);
|
||||
// 缓存emitter
|
||||
AiragLocalCache.put(AiragConsts.CACHE_TYPE_SSE, requestId, emitter);
|
||||
// 缓存开始发送时间
|
||||
log.info("[AI-CHAT]开始发送消息,requestId:{}", requestId);
|
||||
AiragLocalCache.put(AiragConsts.CACHE_TYPE_SSE_SEND_TIME, requestId, System.currentTimeMillis());
|
||||
try {
|
||||
// 组装用户消息
|
||||
UserMessage userMessage = aiChatHandler.buildUserMessage(sendParams.getContent(), sendParams.getImages());
|
||||
// 追加消息
|
||||
appendMessage(messages, userMessage, chatConversation, topicId);
|
||||
/* 这里应该是有几种情况:
|
||||
* 1. 非ai应用:获取默认模型->开始聊天
|
||||
* 2. AI应用-聊天助手(ChatAssistant):从应用信息组装模型和提示词->开始聊天
|
||||
* 3. AI应用-聊天流程(ChatFlow):从应用信息获取模型,流程,组装入参->调用工作流
|
||||
*/
|
||||
if (null != aiApp && !AiAppConsts.DEFAULT_APP_ID.equals(aiApp.getId())) {
|
||||
// ai应用:查询应用信息(ChatAssistant,chatflow),模型信息,组装模型-提示词,知识库等
|
||||
if (AiAppConsts.APP_TYPE_CHAT_FLOW.equals(aiApp.getType())) {
|
||||
// ai应用:聊天流程(ChatFlow)
|
||||
sendWithFlow(requestId, aiApp.getFlowId(), chatConversation, topicId, messages, sendParams);
|
||||
} else {
|
||||
// AI应用-聊天助手(ChatAssistant):从应用信息组装模型和提示词
|
||||
sendWithAppChat(requestId, messages, chatConversation, topicId);
|
||||
}
|
||||
} else {
|
||||
// 发消息
|
||||
sendWithDefault(requestId, chatConversation, topicId, null, messages, null);
|
||||
}
|
||||
} catch (Throwable e) {
|
||||
log.error(e.getMessage(), e);
|
||||
EventData eventData = new EventData(requestId, null, EventData.EVENT_FLOW_ERROR, chatConversation.getId(), topicId);
|
||||
eventData.setData(EventFlowData.builder().success(false).message(e.getMessage()).build());
|
||||
closeSSE(emitter, eventData);
|
||||
}
|
||||
return emitter;
|
||||
}
|
||||
|
||||
/**
|
||||
* 运行流程
|
||||
*
|
||||
* @param requestId
|
||||
* @param flowId
|
||||
* @param chatConversation
|
||||
* @param topicId
|
||||
* @param messages
|
||||
* @param sendParams
|
||||
* @author chenrui
|
||||
* @date 2025/2/27 14:55
|
||||
*/
|
||||
private void sendWithFlow(String requestId, String flowId, ChatConversation chatConversation, String topicId, List<ChatMessage> messages, ChatSendParams sendParams) {
|
||||
FlowRunParams flowRunParams = new FlowRunParams();
|
||||
flowRunParams.setRequestId(requestId);
|
||||
flowRunParams.setFlowId(flowId);
|
||||
flowRunParams.setConversationId(chatConversation.getId());
|
||||
flowRunParams.setTopicId(topicId);
|
||||
// 支持流式
|
||||
flowRunParams.setResponseMode(FlowConsts.FLOW_RESPONSE_MODE_STREAMING);
|
||||
Map<String, Object> flowInputParams = new HashMap<>();
|
||||
List<MessageHistory> histories = new ArrayList<>();
|
||||
if (oConvertUtils.isObjectNotEmpty(chatConversation.getMessages())) {
|
||||
// 创建历史消息的副本(不直接操作原来的list)
|
||||
histories.addAll(chatConversation.getMessages());
|
||||
// 移除最后一条历史消息(最后一条是当前发出去的这一条消息)
|
||||
histories.remove(histories.size() - 1);
|
||||
}
|
||||
flowInputParams.put(FlowConsts.FLOW_INPUT_PARAM_HISTORY, histories);
|
||||
flowInputParams.put(FlowConsts.FLOW_INPUT_PARAM_QUESTION, sendParams.getContent());
|
||||
flowInputParams.put(FlowConsts.FLOW_INPUT_PARAM_IMAGES, sendParams.getImages());
|
||||
flowRunParams.setInputParams(flowInputParams);
|
||||
HttpServletRequest httpRequest = SpringContextUtils.getHttpServletRequest();
|
||||
flowRunParams.setHttpRequest(httpRequest);
|
||||
// 流程结束后,记录ai返回并保存会话
|
||||
// sse
|
||||
SseEmitter emitter = AiragLocalCache.get(AiragConsts.CACHE_TYPE_SSE, requestId);
|
||||
flowRunParams.setEventCallback(eventData -> {
|
||||
if (EventData.EVENT_FLOW_FINISHED.equals(eventData.getEvent())) {
|
||||
// 打印耗时日志
|
||||
printChatDuration(requestId, "流程执行完毕");
|
||||
// 已经执行完了,删除时间缓存
|
||||
AiragLocalCache.remove(AiragConsts.CACHE_TYPE_SSE_SEND_TIME, requestId);
|
||||
EventFlowData data = (EventFlowData) eventData.getData();
|
||||
if(data.isSuccess()) {
|
||||
Object outputs = data.getOutputs();
|
||||
if (oConvertUtils.isObjectNotEmpty(outputs)) {
|
||||
AiMessage aiMessage;
|
||||
if (outputs instanceof String) {
|
||||
// 兼容推理模型
|
||||
String messageText = String.valueOf(outputs);
|
||||
messageText = messageText.replaceAll("<think>([\\s\\S]*?)</think>", "> $1");
|
||||
aiMessage = new AiMessage(messageText);
|
||||
} else {
|
||||
aiMessage = new AiMessage(JSONObject.toJSONString(outputs));
|
||||
}
|
||||
EventData msgEventData = new EventData(requestId, null, EventData.EVENT_MESSAGE, chatConversation.getId(), topicId);
|
||||
EventMessageData messageEventData = EventMessageData.builder().message(aiMessage.text()).build();
|
||||
msgEventData.setData(messageEventData);
|
||||
msgEventData.setRequestId(requestId);
|
||||
sendMessage2Client(emitter, msgEventData);
|
||||
appendMessage(messages, aiMessage, chatConversation, topicId);
|
||||
// 保存会话
|
||||
saveChatConversation(chatConversation, false, httpRequest);
|
||||
}
|
||||
}else{
|
||||
//update-begin---author:chenrui ---date:20250425 for：[QQYUN-12203]AI 聊天，超时或者服务器报错，给个友好提示------------
|
||||
// 失败
|
||||
String message = data.getMessage();
|
||||
if (message != null && message.contains(FlowConsts.FLOW_ERROR_MSG_LLM_TIMEOUT)) {
|
||||
message = "当前用户较多，排队中，请稍后再试！";
|
||||
EventData errEventData = new EventData(requestId, null, EventData.EVENT_MESSAGE, chatConversation.getId(), topicId);
|
||||
errEventData.setData(EventMessageData.builder().message("\n" + message).build());
|
||||
sendMessage2Client(emitter, errEventData);
|
||||
errEventData = new EventData(requestId, null, EventData.EVENT_MESSAGE_END, chatConversation.getId(), topicId);
|
||||
// 如果是超时,主动关闭SSE,防止流程切面中返回异常消息导致前端不能正常展示上面的{普通消息}.
|
||||
closeSSE(emitter, errEventData);
|
||||
}
|
||||
//update-end---author:chenrui ---date:20250425 for：[QQYUN-12203]AI 聊天，超时或者服务器报错，给个友好提示------------
|
||||
}
|
||||
}
|
||||
});
|
||||
// 打印流程耗时日志
|
||||
printChatDuration(requestId, "开始执行流程");
|
||||
airagFlowService.runFlow(flowRunParams);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 发送app聊天
|
||||
*
|
||||
* @param requestId
|
||||
* @param messages
|
||||
* @param chatConversation
|
||||
* @param topicId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/28 10:41
|
||||
*/
|
||||
private void sendWithAppChat(String requestId, List<ChatMessage> messages, ChatConversation chatConversation, String topicId) {
|
||||
AiragApp aiApp = chatConversation.getApp();
|
||||
String modelId = aiApp.getModelId();
|
||||
AssertUtils.assertNotEmpty("请先选择模型", modelId);
|
||||
// AI应用提示词
|
||||
String prompt = aiApp.getPrompt();
|
||||
if (oConvertUtils.isNotEmpty(prompt)) {
|
||||
appendMessage(messages, new SystemMessage(prompt), chatConversation, topicId);
|
||||
}
|
||||
|
||||
AIChatParams aiChatParams = new AIChatParams();
|
||||
// AI应用自定义的模型参数
|
||||
String metadataStr = aiApp.getMetadata();
|
||||
if (oConvertUtils.isNotEmpty(metadataStr)) {
|
||||
JSONObject metadata = JSONObject.parseObject(metadataStr);
|
||||
if (oConvertUtils.isNotEmpty(metadata)) {
|
||||
if (metadata.containsKey("temperature")) {
|
||||
aiChatParams.setTemperature(metadata.getDouble("temperature"));
|
||||
}
|
||||
if (metadata.containsKey("topP")) {
|
||||
aiChatParams.setTopP(metadata.getDouble("topP"));
|
||||
}
|
||||
if (metadata.containsKey("presencePenalty")) {
|
||||
aiChatParams.setPresencePenalty(metadata.getDouble("presencePenalty"));
|
||||
}
|
||||
if (metadata.containsKey("frequencyPenalty")) {
|
||||
aiChatParams.setFrequencyPenalty(metadata.getDouble("frequencyPenalty"));
|
||||
}
|
||||
if (metadata.containsKey("maxTokens")) {
|
||||
aiChatParams.setMaxTokens(metadata.getInteger("maxTokens"));
|
||||
}
|
||||
}
|
||||
}
|
||||
// 打印流程耗时日志
|
||||
printChatDuration(requestId, "构造应用自定义参数完成");
|
||||
// 发消息
|
||||
sendWithDefault(requestId, chatConversation, topicId, modelId, messages, aiChatParams);
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理聊天
|
||||
* 向大模型发送消息并接受响应
|
||||
*
|
||||
* @param chatConversation
|
||||
* @param topicId
|
||||
* @param modelId
|
||||
* @param messages
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 19:24
|
||||
*/
|
||||
private void sendWithDefault(String requestId, ChatConversation chatConversation, String topicId, String modelId, List<ChatMessage> messages, AIChatParams aiChatParams) {
|
||||
// 调用ai聊天
|
||||
if (null == aiChatParams) {
|
||||
aiChatParams = new AIChatParams();
|
||||
}
|
||||
aiChatParams.setKnowIds(chatConversation.getApp().getKnowIds());
|
||||
aiChatParams.setMaxMsgNumber(oConvertUtils.getInt(chatConversation.getApp().getMsgNum(), 5));
|
||||
HttpServletRequest httpRequest = SpringContextUtils.getHttpServletRequest();
|
||||
TokenStream chatStream;
|
||||
try {
|
||||
// 打印流程耗时日志
|
||||
printChatDuration(requestId, "开始向LLM发送消息");
|
||||
if (oConvertUtils.isNotEmpty(modelId)) {
|
||||
chatStream = aiChatHandler.chat(modelId, messages, aiChatParams);
|
||||
} else {
|
||||
chatStream = aiChatHandler.chatByDefaultModel(messages, aiChatParams);
|
||||
}
|
||||
} catch (Exception e) {
|
||||
log.error(e.getMessage(), e);
|
||||
throw new JeecgBootBizTipException("调用大模型接口失败:" + e.getMessage());
|
||||
}
|
||||
/**
|
||||
* 是否正在思考
|
||||
*/
|
||||
AtomicBoolean isThinking = new AtomicBoolean(false);
|
||||
// ai聊天响应逻辑
|
||||
chatStream.onNext((String resMessage) -> {
|
||||
// 兼容推理模型
|
||||
if ("<think>".equals(resMessage)) {
|
||||
isThinking.set(true);
|
||||
resMessage = "> ";
|
||||
}
|
||||
if ("</think>".equals(resMessage)) {
|
||||
isThinking.set(false);
|
||||
resMessage = "\n\n";
|
||||
}
|
||||
if (isThinking.get()) {
|
||||
if (null != resMessage && resMessage.contains("\n")) {
|
||||
resMessage = "\n> ";
|
||||
}
|
||||
}
|
||||
EventData eventData = new EventData(requestId, null, EventData.EVENT_MESSAGE, chatConversation.getId(), topicId);
|
||||
EventMessageData messageEventData = EventMessageData.builder().message(resMessage).build();
|
||||
eventData.setData(messageEventData);
|
||||
eventData.setRequestId(requestId);
|
||||
// sse
|
||||
SseEmitter emitter = AiragLocalCache.get(AiragConsts.CACHE_TYPE_SSE, requestId);
|
||||
if (null == emitter) {
|
||||
log.warn("[AI应用]接收LLM返回会话已关闭");
|
||||
return;
|
||||
}
|
||||
sendMessage2Client(emitter, eventData);
|
||||
}).onComplete((responseMessage) -> {
|
||||
// 打印流程耗时日志
|
||||
printChatDuration(requestId, "LLM输出消息完成");
|
||||
AiragLocalCache.remove(AiragConsts.CACHE_TYPE_SSE_SEND_TIME, requestId);
|
||||
// 记录ai的回复
|
||||
AiMessage aiMessage = responseMessage.content();
|
||||
FinishReason finishReason = responseMessage.finishReason();
|
||||
String respText = aiMessage.text();
|
||||
// sse
|
||||
SseEmitter emitter = AiragLocalCache.get(AiragConsts.CACHE_TYPE_SSE, requestId);
|
||||
if (null == emitter) {
|
||||
log.warn("[AI应用]接收LLM返回会话已关闭");
|
||||
return;
|
||||
}
|
||||
if (FinishReason.STOP.equals(finishReason) || null == finishReason) {
|
||||
// 正常结束
|
||||
EventData eventData = new EventData(requestId, null, EventData.EVENT_MESSAGE_END, chatConversation.getId(), topicId);
|
||||
appendMessage(messages, aiMessage, chatConversation, topicId);
|
||||
// 保存会话
|
||||
saveChatConversation(chatConversation, false, httpRequest);
|
||||
closeSSE(emitter, eventData);
|
||||
} else if (FinishReason.TOOL_EXECUTION.equals(finishReason)) {
|
||||
// 需要执行工具
|
||||
// TODO author: chenrui for: date:2025/3/7
|
||||
} else if (FinishReason.LENGTH.equals(finishReason)) {
|
||||
// 上下文长度超过限制
|
||||
log.error("调用模型异常:上下文长度超过限制:{}", responseMessage.tokenUsage());
|
||||
EventData eventData = new EventData(requestId, null, EventData.EVENT_MESSAGE, chatConversation.getId(), topicId);
|
||||
eventData.setData(EventMessageData.builder().message("\n上下文长度超过限制，请调整模型最大Tokens").build());
|
||||
sendMessage2Client(emitter, eventData);
|
||||
eventData = new EventData(requestId, null, EventData.EVENT_MESSAGE_END, chatConversation.getId(), topicId);
|
||||
closeSSE(emitter, eventData);
|
||||
} else {
|
||||
// 异常结束
|
||||
log.error("调用模型异常:" + respText);
|
||||
if (respText.contains("insufficient Balance")) {
|
||||
respText = "大预言模型账号余额不足!";
|
||||
}
|
||||
EventData eventData = new EventData(requestId, null, EventData.EVENT_FLOW_ERROR, chatConversation.getId(), topicId);
|
||||
eventData.setData(EventFlowData.builder().success(false).message(respText).build());
|
||||
closeSSE(emitter, eventData);
|
||||
}
|
||||
}).onError((Throwable error) -> {
|
||||
// 打印流程耗时日志
|
||||
printChatDuration(requestId, "LLM输出消息异常");
|
||||
AiragLocalCache.remove(AiragConsts.CACHE_TYPE_SSE_SEND_TIME, requestId);
|
||||
// sse
|
||||
SseEmitter emitter = AiragLocalCache.get(AiragConsts.CACHE_TYPE_SSE, requestId);
|
||||
if (null == emitter) {
|
||||
log.warn("[AI应用]接收LLM返回会话已关闭{}", requestId);
|
||||
return;
|
||||
}
|
||||
log.error(error.getMessage(), error);
|
||||
String errMsg = error.getMessage();
|
||||
if (errMsg != null && errMsg.contains("timeout")) {
|
||||
//update-begin---author:chenrui ---date:20250425 for：[QQYUN-12203]AI 聊天，超时或者服务器报错，给个友好提示------------
|
||||
errMsg = "当前用户较多，排队中，请稍后再试！";
|
||||
EventData eventData = new EventData(requestId, null, EventData.EVENT_MESSAGE, chatConversation.getId(), topicId);
|
||||
eventData.setData(EventMessageData.builder().message("\n" + errMsg).build());
|
||||
sendMessage2Client(emitter, eventData);
|
||||
eventData = new EventData(requestId, null, EventData.EVENT_MESSAGE_END, chatConversation.getId(), topicId);
|
||||
closeSSE(emitter, eventData);
|
||||
//update-end---author:chenrui ---date:20250425 for：[QQYUN-12203]AI 聊天，超时或者服务器报错，给个友好提示------------
|
||||
} else {
|
||||
errMsg = "调用大模型接口失败:" + errMsg;
|
||||
EventData eventData = new EventData(requestId, null, EventData.EVENT_FLOW_ERROR, chatConversation.getId(), topicId);
|
||||
eventData.setData(EventFlowData.builder().success(false).message(errMsg).build());
|
||||
closeSSE(emitter, eventData);
|
||||
}
|
||||
}).start();
|
||||
}
|
||||
|
||||
/**
|
||||
* 发送消息到客户端
|
||||
*
|
||||
* @param emitter
|
||||
* @param eventData
|
||||
* @author chenrui
|
||||
* @date 2025/4/22 19:58
|
||||
*/
|
||||
private static void sendMessage2Client(SseEmitter emitter, EventData eventData) {
|
||||
try {
|
||||
log.info("发送消息:{}", eventData.getRequestId());
|
||||
String eventStr = JSONObject.toJSONString(eventData);
|
||||
log.debug("[AI应用]接收LLM返回消息:{}", eventStr);
|
||||
emitter.send(SseEmitter.event().data(eventStr));
|
||||
} catch (IOException e) {
|
||||
log.error("发送消息失败", e);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 发送聊天返回结果
|
||||
*
|
||||
* @author chenrui
|
||||
* @date 2025/2/28 11:05
|
||||
*/
|
||||
private static class ChatResult {
|
||||
public final SseEmitter emitter;
|
||||
public final AiragModel chatModel;
|
||||
|
||||
public ChatResult(SseEmitter emitter, AiragModel chatModel) {
|
||||
this.emitter = emitter;
|
||||
this.chatModel = chatModel;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 总结会话标题
|
||||
* 几个问题: <br/>
|
||||
* 1. 如果在发消息时同步总结会话标题,会导致接口很慢甚至超时.
|
||||
* 2. 但如果异步更新会话标题会导致消息记录丢失(不全)或者标题丢失,需要写很多逻辑去保证最终一致
|
||||
* so 暂时先不用AI更新会话标题. 后期如果需要单独再增加一个接口,由前端调用或者在第一次消息接收完成后再异步更新
|
||||
*
|
||||
* @param chatConversation
|
||||
* @param question
|
||||
* @param modelId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/25 17:12
|
||||
*/
|
||||
protected void summaryConversationTitle(ChatConversation chatConversation, String question, String modelId) {
|
||||
if (oConvertUtils.isEmpty(chatConversation.getId())) {
|
||||
return;
|
||||
}
|
||||
String key = getConversationCacheKey(chatConversation.getId(), null);
|
||||
if (oConvertUtils.isEmpty(key)) {
|
||||
return;
|
||||
}
|
||||
CompletableFuture.runAsync(() -> {
|
||||
List<ChatMessage> messages = new LinkedList<>();
|
||||
String systemMsgStr = "根据用户的问题,总结会话标题.\n" + "要求如下:\n" + "1. 使用中文回答.\n" + "2. 标题长度控制在5个汉字10个英文字符以内\n" + "3. 直接回复会话标题,不要有其他任何无关描述\n" + "4. 如果无法总结,回复不知道\n";
|
||||
messages.add(new SystemMessage(systemMsgStr));
|
||||
messages.add(new UserMessage(question));
|
||||
String summaryTitle;
|
||||
try {
|
||||
summaryTitle = aiChatHandler.completions(modelId, messages, null);
|
||||
log.info("总结会话完成{}", summaryTitle);
|
||||
if (summaryTitle.equalsIgnoreCase("不知道")) {
|
||||
summaryTitle = "";
|
||||
}
|
||||
} catch (Exception e) {
|
||||
log.warn("AI总结会话失败" + e.getMessage(), e);
|
||||
summaryTitle = "";
|
||||
}
|
||||
// 更新会话标题
|
||||
ChatConversation cachedConversation = (ChatConversation) redisTemplate.boundValueOps(key).get();
|
||||
if (null == cachedConversation) {
|
||||
cachedConversation = chatConversation;
|
||||
}
|
||||
if (oConvertUtils.isEmpty(chatConversation.getTitle())) {
|
||||
// 再次判断标题是否为空,只有标题为空才更新
|
||||
if (oConvertUtils.isNotEmpty(summaryTitle)) {
|
||||
cachedConversation.setTitle(summaryTitle);
|
||||
} else {
|
||||
cachedConversation.setTitle(question.length() > 5 ? question.substring(0, 5) : question);
|
||||
}
|
||||
//保存会话
|
||||
saveChatConversation(cachedConversation);
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取用户名
|
||||
*
|
||||
* @param httpRequest
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/27 15:05
|
||||
*/
|
||||
private String getUsername(HttpServletRequest httpRequest) {
|
||||
try {
|
||||
TokenUtils.getTokenByRequest();
|
||||
String token;
|
||||
if (null != httpRequest) {
|
||||
token = TokenUtils.getTokenByRequest(httpRequest);
|
||||
} else {
|
||||
token = TokenUtils.getTokenByRequest();
|
||||
}
|
||||
if (TokenUtils.verifyToken(token, sysBaseApi, redisUtil)) {
|
||||
return JwtUtil.getUsername(token);
|
||||
}
|
||||
} catch (Exception e) {
|
||||
return null;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 打印耗时
|
||||
* @param requestId
|
||||
* @param message
|
||||
* @author chenrui
|
||||
* @date 2025/4/28 15:15
|
||||
*/
|
||||
private static void printChatDuration(String requestId,String message) {
|
||||
Long beginTime = AiragLocalCache.get(AiragConsts.CACHE_TYPE_SSE_SEND_TIME, requestId);
|
||||
if (null != beginTime) {
|
||||
log.info("[AI-CHAT]{},requestId:{},耗时:{}s", message, requestId, (System.currentTimeMillis() - beginTime) / 1000);
|
||||
}
|
||||
}
|
||||
}
|
||||
+20
@@ -0,0 +1,20 @@
|
||||
package org.jeecg.modules.airag.app.vo;
|
||||
|
||||
import lombok.Data;
|
||||
import lombok.NoArgsConstructor;
|
||||
import org.jeecg.modules.airag.app.entity.AiragApp;
|
||||
|
||||
/**
|
||||
* @Description: 应用调试入参
|
||||
* @Author: chenrui
|
||||
* @Date: 2025/2/25 11:47
|
||||
*/
|
||||
@Data
|
||||
public class AppDebugParams extends ChatSendParams {
|
||||
|
||||
/**
|
||||
* 应用信息
|
||||
*/
|
||||
AiragApp app;
|
||||
|
||||
}
|
||||
+42
@@ -0,0 +1,42 @@
|
||||
package org.jeecg.modules.airag.app.vo;
|
||||
|
||||
import lombok.Data;
|
||||
import org.jeecg.modules.airag.app.entity.AiragApp;
|
||||
import org.jeecg.modules.airag.common.vo.MessageHistory;
|
||||
|
||||
import java.util.Date;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* @Description: 聊天会话
|
||||
* @Author: chenrui
|
||||
* @Date: 2025/2/25 14:56
|
||||
*/
|
||||
@Data
|
||||
public class ChatConversation {
|
||||
|
||||
/**
|
||||
* 会话id
|
||||
*/
|
||||
private String id;
|
||||
|
||||
/**
|
||||
* 会话标题
|
||||
*/
|
||||
private String title;
|
||||
|
||||
/**
|
||||
* 消息记录
|
||||
*/
|
||||
private List<MessageHistory> messages;
|
||||
|
||||
/**
|
||||
* app
|
||||
*/
|
||||
private AiragApp app;
|
||||
|
||||
/**
|
||||
* 创建时间
|
||||
*/
|
||||
private Date createTime;
|
||||
}
|
||||
+49
@@ -0,0 +1,49 @@
|
||||
package org.jeecg.modules.airag.app.vo;
|
||||
|
||||
import lombok.Data;
|
||||
import lombok.NoArgsConstructor;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* @Description: 发送消息的入参
|
||||
* @Author: chenrui
|
||||
* @Date: 2025/2/25 11:47
|
||||
*/
|
||||
@NoArgsConstructor
|
||||
@Data
|
||||
public class ChatSendParams {
|
||||
|
||||
public ChatSendParams(String content, String conversationId, String topicId, String appId) {
|
||||
this.content = content;
|
||||
this.conversationId = conversationId;
|
||||
this.topicId = topicId;
|
||||
this.appId = appId;
|
||||
}
|
||||
|
||||
/**
|
||||
* 用户输入的聊天内容
|
||||
*/
|
||||
private String content;
|
||||
|
||||
/**
|
||||
* 对话会话ID
|
||||
*/
|
||||
private String conversationId;
|
||||
|
||||
/**
|
||||
* 对话主题ID（用于关联历史记录）
|
||||
*/
|
||||
private String topicId;
|
||||
|
||||
/**
|
||||
* 应用id
|
||||
*/
|
||||
private String appId;
|
||||
|
||||
/**
|
||||
* 图片列表
|
||||
*/
|
||||
private List<String> images;
|
||||
|
||||
}
|
||||
+83
@@ -0,0 +1,83 @@
|
||||
package org.jeecg.modules.airag.demo;
|
||||
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.jeecg.common.exception.JeecgBootBizTipException;
|
||||
import org.jeecg.modules.airag.flow.component.enhance.IAiRagEnhanceJava;
|
||||
import org.jeecgframework.poi.excel.ExcelImportUtil;
|
||||
import org.jeecgframework.poi.excel.entity.ImportParams;
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
import java.io.File;
|
||||
import java.util.ArrayList;
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
/**
|
||||
* Java增强Demo: Excel数据读取器
|
||||
* for [QQYUN-11718]【AI】积木报表对接AI流程编排接口展示报表
|
||||
* @Author: chenrui
|
||||
* @Date: 2025/4/29 16:51
|
||||
*/
|
||||
@Component("jimuDataReader")
|
||||
@Slf4j
|
||||
public class JimuDataReader implements IAiRagEnhanceJava {
|
||||
|
||||
|
||||
@Override
|
||||
public Map<String, Object> process(Map<String, Object> inputParams) {
|
||||
// inputParams: {"bizData":"/xxxx/xxxx/xxxx/xxxx.xls"}
|
||||
try {
|
||||
String filePath = (String) inputParams.get("bizData");
|
||||
if (filePath == null || filePath.isEmpty()) {
|
||||
throw new IllegalArgumentException("File path is empty");
|
||||
}
|
||||
|
||||
File excelFile = new File(filePath);
|
||||
if (!excelFile.exists() || !excelFile.isFile()) {
|
||||
throw new IllegalArgumentException("File not found: " + filePath);
|
||||
}
|
||||
|
||||
// Since we don't know the target entity class, we'll read the Excel generically
|
||||
return readExcelData(excelFile);
|
||||
} catch (Exception e) {
|
||||
log.error("Error processing Excel file", e);
|
||||
throw new JeecgBootBizTipException("调用java增强失败", e);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Excel导入工具方法，基于ExcelImportUtil
|
||||
*
|
||||
* @param file Excel文件
|
||||
* @return Excel读取结果，包含字段和数据
|
||||
* @throws Exception 导入过程中的异常
|
||||
*/
|
||||
public static Map<String, Object> readExcelData(File file) throws Exception {
|
||||
Map<String, Object> result = new HashMap<>();
|
||||
|
||||
// 设置导入参数
|
||||
ImportParams params = new ImportParams();
|
||||
params.setTitleRows(0); // 没有标题
|
||||
params.setHeadRows(1); // 第一行是表头
|
||||
|
||||
// 读取Excel数据
|
||||
List<Map<String, Object>> dataList = ExcelImportUtil.importExcel(file, Map.class, params);
|
||||
|
||||
// 如果没有数据，返回空结果
|
||||
if (dataList == null || dataList.isEmpty()) {
|
||||
result.put("fields", new ArrayList<>());
|
||||
result.put("datas", new ArrayList<>());
|
||||
return result;
|
||||
}
|
||||
|
||||
// 从第一行数据中获取字段名
|
||||
List<String> fieldNames = new ArrayList<>(dataList.get(0).keySet());
|
||||
|
||||
result.put("fields", fieldNames);
|
||||
result.put("datas", dataList);
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
}
|
||||
+22
@@ -0,0 +1,22 @@
|
||||
package org.jeecg.modules.airag.demo;
|
||||
|
||||
import org.jeecg.modules.airag.flow.component.enhance.IAiRagEnhanceJava;
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
import java.util.Collections;
|
||||
import java.util.Map;
|
||||
|
||||
/**
|
||||
* @Description: Java增强节点示例类
|
||||
* @Author: chenrui
|
||||
* @Date: 2025/3/6 11:42
|
||||
*/
|
||||
@Component("testAiragEnhance")
|
||||
public class TestAiragEnhance implements IAiRagEnhanceJava {
|
||||
@Override
|
||||
public Map<String, Object> process(Map<String, Object> inputParams) {
|
||||
Object arg1 = inputParams.get("arg1");
|
||||
Object arg2 = inputParams.get("arg2");
|
||||
return Collections.singletonMap("result",arg1.toString()+"java拼接"+arg2.toString());
|
||||
}
|
||||
}
|
||||
+47
@@ -0,0 +1,47 @@
|
||||
package org.jeecg.modules.airag.llm.config;
|
||||
|
||||
import lombok.Data;
|
||||
import lombok.NoArgsConstructor;
|
||||
import org.springframework.boot.context.properties.ConfigurationProperties;
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
/**
|
||||
* 向量存储库配置
|
||||
*
|
||||
* @Author: chenrui
|
||||
* @Date: 2025/2/18 14:24
|
||||
*/
|
||||
@NoArgsConstructor
|
||||
@Data
|
||||
@Component
|
||||
@ConfigurationProperties(prefix = EmbedStoreConfigBean.PREFIX)
|
||||
public class EmbedStoreConfigBean {
|
||||
public static final String PREFIX = "jeecg.airag.embed-store";
|
||||
|
||||
/**
|
||||
* host
|
||||
*/
|
||||
private String host = "127.0.0.1";
|
||||
/**
|
||||
* 端口
|
||||
*/
|
||||
private int port = 5432;
|
||||
/**
|
||||
* 数据库
|
||||
*/
|
||||
private String database = "postgres";
|
||||
/**
|
||||
* 用户名
|
||||
*/
|
||||
private String user = "postgres";
|
||||
/**
|
||||
* 密码
|
||||
*/
|
||||
private String password = "postgres";
|
||||
|
||||
/**
|
||||
* 存储向量的表
|
||||
*/
|
||||
private String table = "embeddings";
|
||||
|
||||
}
|
||||
+31
@@ -0,0 +1,31 @@
|
||||
package org.jeecg.modules.airag.llm.config;
|
||||
|
||||
import lombok.Data;
|
||||
import lombok.NoArgsConstructor;
|
||||
import org.springframework.boot.context.properties.ConfigurationProperties;
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
/**
|
||||
* 知识库配置
|
||||
*
|
||||
* @Author: chenrui
|
||||
* @Date: 2025-04-01 14:19
|
||||
*/
|
||||
@NoArgsConstructor
|
||||
@Data
|
||||
@Component
|
||||
@ConfigurationProperties(prefix = KnowConfigBean.PREFIX)
|
||||
public class KnowConfigBean {
|
||||
public static final String PREFIX = "jeecg.airag.know";
|
||||
|
||||
/**
|
||||
* 开启MinerU解析
|
||||
*/
|
||||
private boolean enableMinerU = false;
|
||||
|
||||
/**
|
||||
* conda的环境(默认不使用conda)
|
||||
*/
|
||||
private String condaEnv = null;
|
||||
|
||||
}
|
||||
+83
@@ -0,0 +1,83 @@
|
||||
package org.jeecg.modules.airag.llm.consts;
|
||||
|
||||
import java.util.regex.Pattern;
|
||||
|
||||
/**
|
||||
* @Description: airag模型常量类
|
||||
* @Author: chenrui
|
||||
* @Date: 2025/2/12 17:35
|
||||
*/
|
||||
public class LLMConsts {
|
||||
|
||||
|
||||
/**
|
||||
* 正则表达式:是否是网页
|
||||
*/
|
||||
public static final Pattern WEB_PATTERN = Pattern.compile("^(http|https)://.*");
|
||||
|
||||
/**
|
||||
* 状态:启用
|
||||
*/
|
||||
public static final String STATUS_ENABLE = "enable";
|
||||
/**
|
||||
* 状态:禁用
|
||||
*/
|
||||
public static final String STATUS_DISABLE = "disable";
|
||||
|
||||
|
||||
/**
|
||||
* 模型类型:向量
|
||||
*/
|
||||
public static final String MODEL_TYPE_EMBED = "EMBED";
|
||||
|
||||
/**
|
||||
* 模型类型:聊天
|
||||
*/
|
||||
public static final String MODEL_TYPE_LLM = "LLM";
|
||||
|
||||
/**
|
||||
* 向量模型：默认维度
|
||||
*/
|
||||
public static final Integer EMBED_MODEL_DEFAULT_DIMENSION = 1536;
|
||||
|
||||
/**
|
||||
* 知识库:文档状态:草稿
|
||||
*/
|
||||
public static final String KNOWLEDGE_DOC_STATUS_DRAFT = "draft";
|
||||
/**
|
||||
* 知识库:文档状态:构建中
|
||||
*/
|
||||
public static final String KNOWLEDGE_DOC_STATUS_BUILDING = "building";
|
||||
/**
|
||||
* 知识库:文档状态:构建完成
|
||||
*/
|
||||
public static final String KNOWLEDGE_DOC_STATUS_COMPLETE = "complete";
|
||||
/**
|
||||
* 知识库:文档状态:构建失败
|
||||
*/
|
||||
public static final String KNOWLEDGE_DOC_STATUS_FAILED = "failed";
|
||||
|
||||
/**
|
||||
* 知识库:文档类型:文本
|
||||
*/
|
||||
public static final String KNOWLEDGE_DOC_TYPE_TEXT = "text";
|
||||
/**
|
||||
* 知识库:文档类型:文件
|
||||
*/
|
||||
public static final String KNOWLEDGE_DOC_TYPE_FILE = "file";
|
||||
/**
|
||||
* 知识库:文档类型:网页
|
||||
*/
|
||||
public static final String KNOWLEDGE_DOC_TYPE_WEB = "web";
|
||||
|
||||
/**
|
||||
* 知识库:文档元数据:文件路径
|
||||
*/
|
||||
public static final String KNOWLEDGE_DOC_METADATA_FILEPATH = "filePath";
|
||||
|
||||
/**
|
||||
* 知识库:文档元数据:资源路径
|
||||
*/
|
||||
public static final String KNOWLEDGE_DOC_METADATA_SOURCES_PATH = "sourcesPath";
|
||||
|
||||
}
|
||||
+361
@@ -0,0 +1,361 @@
|
||||
package org.jeecg.modules.airag.llm.controller;
|
||||
|
||||
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
|
||||
import com.baomidou.mybatisplus.core.metadata.IPage;
|
||||
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.apache.shiro.authz.annotation.RequiresPermissions;
|
||||
import org.jeecg.common.api.vo.Result;
|
||||
import org.jeecg.common.system.query.QueryGenerator;
|
||||
import org.jeecg.common.util.AssertUtils;
|
||||
import org.jeecg.common.util.TokenUtils;
|
||||
import org.jeecg.config.mybatis.MybatisPlusSaasConfig;
|
||||
import org.jeecg.modules.airag.common.vo.knowledge.KnowledgeSearchResult;
|
||||
import org.jeecg.modules.airag.llm.consts.LLMConsts;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragKnowledge;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragKnowledgeDoc;
|
||||
import org.jeecg.modules.airag.llm.handler.EmbeddingHandler;
|
||||
import org.jeecg.modules.airag.llm.service.IAiragKnowledgeDocService;
|
||||
import org.jeecg.modules.airag.llm.service.IAiragKnowledgeService;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.transaction.annotation.Transactional;
|
||||
import org.springframework.web.bind.annotation.*;
|
||||
import org.springframework.web.multipart.MultipartFile;
|
||||
|
||||
import javax.servlet.http.HttpServletRequest;
|
||||
import java.util.Arrays;
|
||||
import java.util.Collections;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
|
||||
/**
|
||||
* @Description: AIRag知识库
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-18
|
||||
* @Version: V1.0
|
||||
*/
|
||||
@RestController
|
||||
@RequestMapping("/airag/knowledge")
|
||||
@Slf4j
|
||||
public class AiragKnowledgeController {
|
||||
@Autowired
|
||||
private IAiragKnowledgeService airagKnowledgeService;
|
||||
|
||||
@Autowired
|
||||
private IAiragKnowledgeDocService airagKnowledgeDocService;
|
||||
|
||||
@Autowired
|
||||
EmbeddingHandler embeddingHandler;
|
||||
|
||||
/**
|
||||
* 分页列表查询知识库
|
||||
*
|
||||
* @param airagKnowledge
|
||||
* @param pageNo
|
||||
* @param pageSize
|
||||
* @param req
|
||||
* @return
|
||||
*/
|
||||
@GetMapping(value = "/list")
|
||||
public Result<IPage<AiragKnowledge>> queryPageList(AiragKnowledge airagKnowledge,
|
||||
@RequestParam(name = "pageNo", defaultValue = "1") Integer pageNo,
|
||||
@RequestParam(name = "pageSize", defaultValue = "10") Integer pageSize,
|
||||
HttpServletRequest req) {
|
||||
QueryWrapper<AiragKnowledge> queryWrapper = QueryGenerator.initQueryWrapper(airagKnowledge, req.getParameterMap());
|
||||
Page<AiragKnowledge> page = new Page<AiragKnowledge>(pageNo, pageSize);
|
||||
IPage<AiragKnowledge> pageList = airagKnowledgeService.page(page, queryWrapper);
|
||||
return Result.OK(pageList);
|
||||
}
|
||||
|
||||
/**
|
||||
* 添加知识库
|
||||
*
|
||||
* @param airagKnowledge 知识库
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 17:09
|
||||
*/
|
||||
@PostMapping(value = "/add")
|
||||
@RequiresPermissions("airag:knowledge:add")
|
||||
public Result<String> add(@RequestBody AiragKnowledge airagKnowledge) {
|
||||
airagKnowledge.setStatus(LLMConsts.STATUS_ENABLE);
|
||||
airagKnowledgeService.save(airagKnowledge);
|
||||
return Result.OK("添加成功！");
|
||||
}
|
||||
|
||||
/**
|
||||
* 编辑知识库
|
||||
*
|
||||
* @param airagKnowledge 知识库
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 17:09
|
||||
*/
|
||||
@Transactional(rollbackFor = Exception.class)
|
||||
@RequestMapping(value = "/edit", method = {RequestMethod.PUT, RequestMethod.POST})
|
||||
@RequiresPermissions("airag:knowledge:edit")
|
||||
public Result<String> edit(@RequestBody AiragKnowledge airagKnowledge) {
|
||||
AiragKnowledge airagKnowledgeEntity = airagKnowledgeService.getById(airagKnowledge.getId());
|
||||
if (airagKnowledgeEntity == null) {
|
||||
return Result.error("未找到对应数据");
|
||||
}
|
||||
String oldEmbedId = airagKnowledgeEntity.getEmbedId();
|
||||
airagKnowledgeService.updateById(airagKnowledge);
|
||||
if (!oldEmbedId.equalsIgnoreCase(airagKnowledge.getEmbedId())) {
|
||||
// 更新了模型,重建文档
|
||||
airagKnowledgeDocService.rebuildDocumentByKnowId(airagKnowledge.getId());
|
||||
}
|
||||
return Result.OK("编辑成功!");
|
||||
}
|
||||
|
||||
/**
|
||||
* 重建知识库
|
||||
*
|
||||
* @param knowIds
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/12 17:05
|
||||
*/
|
||||
@PutMapping(value = "/rebuild")
|
||||
@RequiresPermissions("airag:knowledge:rebuild")
|
||||
public Result<?> rebuild(@RequestParam("knowIds") String knowIds) {
|
||||
String[] knowIdArr = knowIds.split(",");
|
||||
for (String knowId : knowIdArr) {
|
||||
airagKnowledgeDocService.rebuildDocumentByKnowId(knowId);
|
||||
}
|
||||
return Result.OK("");
|
||||
}
|
||||
|
||||
/**
|
||||
* 通过id删除知识库
|
||||
*
|
||||
* @param id
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 17:09
|
||||
*/
|
||||
@Transactional(rollbackFor = Exception.class)
|
||||
@DeleteMapping(value = "/delete")
|
||||
@RequiresPermissions("airag:knowledge:delete")
|
||||
public Result<String> delete(HttpServletRequest request, @RequestParam(name = "id", required = true) String id) {
|
||||
//update-begin---author:chenrui ---date:20250606 for：[issues/8337]关于ai工作列表的数据权限问题 #8337------------
|
||||
//如果是saas隔离的情况下，判断当前租户id是否是当前租户下的
|
||||
if (MybatisPlusSaasConfig.OPEN_SYSTEM_TENANT_CONTROL) {
|
||||
AiragKnowledge know = airagKnowledgeService.getById(id);
|
||||
//获取当前租户
|
||||
String currentTenantId = TokenUtils.getTenantIdByRequest(request);
|
||||
if (null == know || !know.getTenantId().equals(currentTenantId)) {
|
||||
return Result.error("删除AI知识库失败，不能删除其他租户的AI知识库！");
|
||||
}
|
||||
}
|
||||
//update-end---author:chenrui ---date:20250606 for：[issues/8337]关于ai工作列表的数据权限问题 #8337------------
|
||||
airagKnowledgeDocService.removeByKnowIds(Collections.singletonList(id));
|
||||
airagKnowledgeService.removeById(id);
|
||||
return Result.OK("删除成功!");
|
||||
}
|
||||
|
||||
/**
|
||||
* 通过id查询知识库
|
||||
*
|
||||
* @param id
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 17:09
|
||||
*/
|
||||
@GetMapping(value = "/queryById")
|
||||
public Result<AiragKnowledge> queryById(@RequestParam(name = "id", required = true) String id) {
|
||||
AiragKnowledge airagKnowledge = airagKnowledgeService.getById(id);
|
||||
if (airagKnowledge == null) {
|
||||
return Result.error("未找到对应数据");
|
||||
}
|
||||
return Result.OK(airagKnowledge);
|
||||
}
|
||||
|
||||
/**
|
||||
* 文档分页查询
|
||||
*
|
||||
* @param airagKnowledgeDoc
|
||||
* @param pageNo
|
||||
* @param pageSize
|
||||
* @param req
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 18:37
|
||||
*/
|
||||
@GetMapping(value = "/doc/list")
|
||||
public Result<IPage<AiragKnowledgeDoc>> queryDocumentPageList(AiragKnowledgeDoc airagKnowledgeDoc,
|
||||
@RequestParam(name = "pageNo", defaultValue = "1") Integer pageNo,
|
||||
@RequestParam(name = "pageSize", defaultValue = "10") Integer pageSize,
|
||||
HttpServletRequest req) {
|
||||
AssertUtils.assertNotEmpty("请先选择知识库", airagKnowledgeDoc.getKnowledgeId());
|
||||
QueryWrapper<AiragKnowledgeDoc> queryWrapper = QueryGenerator.initQueryWrapper(airagKnowledgeDoc, req.getParameterMap());
|
||||
Page<AiragKnowledgeDoc> page = new Page<>(pageNo, pageSize);
|
||||
IPage<AiragKnowledgeDoc> pageList = airagKnowledgeDocService.page(page, queryWrapper);
|
||||
return Result.OK(pageList);
|
||||
}
|
||||
|
||||
/**
|
||||
* 新增或编辑文档
|
||||
*
|
||||
* @param airagKnowledgeDoc 知识库文档
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 15:47
|
||||
*/
|
||||
@PostMapping(value = "/doc/edit")
|
||||
@RequiresPermissions("airag:knowledge:doc:edit")
|
||||
public Result<?> addDocument(@RequestBody AiragKnowledgeDoc airagKnowledgeDoc) {
|
||||
return airagKnowledgeDocService.editDocument(airagKnowledgeDoc);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 从压缩包导入文档
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/20 11:29
|
||||
*/
|
||||
@PostMapping(value = "/doc/import/zip")
|
||||
@RequiresPermissions("airag:knowledge:doc:zip")
|
||||
public Result<?> importDocumentFromZip(@RequestParam(name = "knowId", required = true) String knowId,
|
||||
@RequestParam(name = "file", required = true) MultipartFile file) {
|
||||
return airagKnowledgeDocService.importDocumentFromZip(knowId,file);
|
||||
}
|
||||
|
||||
/**
|
||||
* 通过文档库查询导入任务列表
|
||||
* @param knowId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/20 11:37
|
||||
*/
|
||||
@GetMapping(value = "/doc/import/task/list")
|
||||
public Result<?> importDocumentTaskList(@RequestParam(name = "knowId", required = true) String knowId) {
|
||||
return Result.OK(Collections.emptyList());
|
||||
}
|
||||
|
||||
/**
|
||||
* 重新向量化文档
|
||||
*
|
||||
* @param docIds 文档id集合
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 15:47
|
||||
*/
|
||||
@PutMapping(value = "/doc/rebuild")
|
||||
@RequiresPermissions("airag:knowledge:doc:rebuild")
|
||||
public Result<?> rebuildDocument(@RequestParam("docIds") String docIds) {
|
||||
return airagKnowledgeDocService.rebuildDocument(docIds);
|
||||
}
|
||||
|
||||
/**
|
||||
* 批量删除文档
|
||||
*
|
||||
* @param ids
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 17:09
|
||||
*/
|
||||
@Transactional(rollbackFor = Exception.class)
|
||||
@DeleteMapping(value = "/doc/deleteBatch")
|
||||
@RequiresPermissions("airag:knowledge:doc:deleteBatch")
|
||||
public Result<String> deleteDocumentBatch(HttpServletRequest request, @RequestParam(name = "ids", required = true) String ids) {
|
||||
List<String> idsList = Arrays.asList(ids.split(","));
|
||||
//update-begin---author:chenrui ---date:20250606 for：[issues/8337]关于ai工作列表的数据权限问题 #8337------------
|
||||
//如果是saas隔离的情况下，判断当前租户id是否是当前租户下的
|
||||
if (MybatisPlusSaasConfig.OPEN_SYSTEM_TENANT_CONTROL) {
|
||||
List<AiragKnowledgeDoc> docList = airagKnowledgeDocService.listByIds(idsList);
|
||||
//获取当前租户
|
||||
String currentTenantId = TokenUtils.getTenantIdByRequest(request);
|
||||
docList.forEach(airagKnowledgeDoc -> {
|
||||
if (null == airagKnowledgeDoc || !airagKnowledgeDoc.getTenantId().equals(currentTenantId)) {
|
||||
throw new IllegalArgumentException("删除AI知识库文档失败，不能删除其他租户的AI知识库文档！");
|
||||
}
|
||||
});
|
||||
}
|
||||
//update-end---author:chenrui ---date:20250606 for：[issues/8337]关于ai工作列表的数据权限问题 #8337------------
|
||||
airagKnowledgeDocService.removeDocByIds(idsList);
|
||||
return Result.OK("批量删除成功！");
|
||||
}
|
||||
|
||||
/**
|
||||
* 清空知识库文档
|
||||
*
|
||||
* @param
|
||||
* @return
|
||||
*/
|
||||
@Transactional(rollbackFor = Exception.class)
|
||||
@DeleteMapping(value = "/doc/deleteAll")
|
||||
@RequiresPermissions("airag:knowledge:doc:deleteAll")
|
||||
public Result<?> deleteDocumentAll(HttpServletRequest request, @RequestParam(name = "knowId") String knowId) {
|
||||
//update-begin---author:chenrui ---date:20250606 for：[issues/8337]关于ai工作列表的数据权限问题 #8337------------
|
||||
//如果是saas隔离的情况下，判断当前租户id是否是当前租户下的
|
||||
if (MybatisPlusSaasConfig.OPEN_SYSTEM_TENANT_CONTROL) {
|
||||
AiragKnowledge know = airagKnowledgeService.getById(knowId);
|
||||
//获取当前租户
|
||||
String currentTenantId = TokenUtils.getTenantIdByRequest(request);
|
||||
if (null == know || !know.getTenantId().equals(currentTenantId)) {
|
||||
return Result.error("删除AI知识库失败，不能删除其他租户的AI知识库！");
|
||||
}
|
||||
}
|
||||
//update-end---author:chenrui ---date:20250606 for：[issues/8337]关于ai工作列表的数据权限问题 #8337------------
|
||||
return airagKnowledgeDocService.deleteAllByKnowId(knowId);
|
||||
}
|
||||
|
||||
/**
|
||||
* 命中测试
|
||||
*
|
||||
* @param knowId 知识库id
|
||||
* @param queryText 查询内容
|
||||
* @param topNumber 最多返回条数
|
||||
* @param similarity 最小分数
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 17:09
|
||||
*/
|
||||
@GetMapping(value = "/embedding/hitTest/{knowId}")
|
||||
public Result<?> hitTest(@PathVariable("knowId") String knowId,
|
||||
@RequestParam(name = "queryText") String queryText,
|
||||
@RequestParam(name = "topNumber") Integer topNumber,
|
||||
@RequestParam(name = "similarity") Double similarity) {
|
||||
List<Map<String, Object>> searchResp = embeddingHandler.searchEmbedding(knowId, queryText, topNumber, similarity);
|
||||
return Result.ok(searchResp);
|
||||
}
|
||||
|
||||
/**
|
||||
* 向量查询
|
||||
*
|
||||
* @param knowIds 知识库ids
|
||||
* @param queryText 查询内容
|
||||
* @param topNumber 最多返回条数
|
||||
* @param similarity 最小分数
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 17:09
|
||||
*/
|
||||
@GetMapping(value = "/embedding/search")
|
||||
public Result<?> embeddingSearch(@RequestParam("knowIds") List<String> knowIds,
|
||||
@RequestParam(name = "queryText") String queryText,
|
||||
@RequestParam(name = "topNumber", required = false) Integer topNumber,
|
||||
@RequestParam(name = "similarity", required = false) Double similarity) {
|
||||
KnowledgeSearchResult searchResp = embeddingHandler.embeddingSearch(knowIds, queryText, topNumber, similarity);
|
||||
return Result.ok(searchResp);
|
||||
}
|
||||
|
||||
/**
|
||||
* 通过ids批量查询知识库
|
||||
*
|
||||
* @param ids
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/27 16:44
|
||||
*/
|
||||
@GetMapping(value = "/query/batch/byId")
|
||||
public Result<?> queryBatchByIds(@RequestParam(name = "ids", required = true) String ids) {
|
||||
List<String> idList = Arrays.asList(ids.split(","));
|
||||
List<AiragKnowledge> airagKnowledges = airagKnowledgeService.listByIds(idList);
|
||||
return Result.OK(airagKnowledges);
|
||||
}
|
||||
|
||||
}
|
||||
+180
@@ -0,0 +1,180 @@
|
||||
package org.jeecg.modules.airag.llm.controller;
|
||||
|
||||
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
|
||||
import com.baomidou.mybatisplus.core.metadata.IPage;
|
||||
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
|
||||
import dev.langchain4j.data.message.UserMessage;
|
||||
import dev.langchain4j.model.embedding.EmbeddingModel;
|
||||
import io.swagger.v3.oas.annotations.tags.Tag;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.apache.shiro.authz.annotation.RequiresPermissions;
|
||||
import org.jeecg.ai.factory.AiModelFactory;
|
||||
import org.jeecg.ai.factory.AiModelOptions;
|
||||
import org.jeecg.common.api.vo.Result;
|
||||
import org.jeecg.common.system.base.controller.JeecgController;
|
||||
import org.jeecg.common.system.query.QueryGenerator;
|
||||
import org.jeecg.common.util.AssertUtils;
|
||||
import org.jeecg.common.util.TokenUtils;
|
||||
import org.jeecg.config.mybatis.MybatisPlusSaasConfig;
|
||||
import org.jeecg.modules.airag.llm.consts.LLMConsts;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragModel;
|
||||
import org.jeecg.modules.airag.llm.handler.AIChatHandler;
|
||||
import org.jeecg.modules.airag.llm.handler.EmbeddingHandler;
|
||||
import org.jeecg.modules.airag.llm.service.IAiragModelService;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.web.bind.annotation.*;
|
||||
import org.springframework.web.servlet.ModelAndView;
|
||||
|
||||
import javax.servlet.http.HttpServletRequest;
|
||||
import javax.servlet.http.HttpServletResponse;
|
||||
import java.util.Arrays;
|
||||
import java.util.Collections;
|
||||
|
||||
/**
|
||||
* @Description: AiRag模型配置
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-14
|
||||
* @Version: V1.0
|
||||
*/
|
||||
@Tag(name = "AiRag模型配置")
|
||||
@RestController
|
||||
@RequestMapping("/airag/airagModel")
|
||||
@Slf4j
|
||||
public class AiragModelController extends JeecgController<AiragModel, IAiragModelService> {
|
||||
@Autowired
|
||||
private IAiragModelService airagModelService;
|
||||
|
||||
@Autowired
|
||||
AIChatHandler aiChatHandler;
|
||||
|
||||
/**
|
||||
* 分页列表查询
|
||||
*
|
||||
* @param airagModel
|
||||
* @param pageNo
|
||||
* @param pageSize
|
||||
* @param req
|
||||
* @return
|
||||
*/
|
||||
@GetMapping(value = "/list")
|
||||
public Result<IPage<AiragModel>> queryPageList(AiragModel airagModel, @RequestParam(name = "pageNo", defaultValue = "1") Integer pageNo, @RequestParam(name = "pageSize", defaultValue = "10") Integer pageSize, HttpServletRequest req) {
|
||||
QueryWrapper<AiragModel> queryWrapper = QueryGenerator.initQueryWrapper(airagModel, req.getParameterMap());
|
||||
Page<AiragModel> page = new Page<AiragModel>(pageNo, pageSize);
|
||||
IPage<AiragModel> pageList = airagModelService.page(page, queryWrapper);
|
||||
return Result.OK(pageList);
|
||||
}
|
||||
|
||||
/**
|
||||
* 添加
|
||||
*
|
||||
* @param airagModel
|
||||
* @return
|
||||
*/
|
||||
@PostMapping(value = "/add")
|
||||
@RequiresPermissions("airag:model:add")
|
||||
public Result<String> add(@RequestBody AiragModel airagModel) {
|
||||
// 验证 模型名称/模型类型/基础模型
|
||||
AssertUtils.assertNotEmpty("模型名称不能为空", airagModel.getName());
|
||||
AssertUtils.assertNotEmpty("模型类型不能为空", airagModel.getModelType());
|
||||
AssertUtils.assertNotEmpty("基础模型不能为空", airagModel.getModelName());
|
||||
airagModelService.save(airagModel);
|
||||
return Result.OK("添加成功！");
|
||||
}
|
||||
|
||||
/**
|
||||
* 编辑
|
||||
*
|
||||
* @param airagModel
|
||||
* @return
|
||||
*/
|
||||
@RequestMapping(value = "/edit", method = {RequestMethod.PUT, RequestMethod.POST})
|
||||
@RequiresPermissions("airag:model:edit")
|
||||
public Result<String> edit(@RequestBody AiragModel airagModel) {
|
||||
airagModelService.updateById(airagModel);
|
||||
return Result.OK("编辑成功!");
|
||||
}
|
||||
|
||||
/**
|
||||
* 通过id删除
|
||||
*
|
||||
* @param id
|
||||
* @return
|
||||
*/
|
||||
@DeleteMapping(value = "/delete")
|
||||
@RequiresPermissions("airag:model:delete")
|
||||
public Result<String> delete(HttpServletRequest request, @RequestParam(name = "id", required = true) String id) {
|
||||
//update-begin---author:chenrui ---date:20250606 for：[issues/8337]关于ai工作列表的数据权限问题 #8337------------
|
||||
//如果是saas隔离的情况下，判断当前租户id是否是当前租户下的
|
||||
if (MybatisPlusSaasConfig.OPEN_SYSTEM_TENANT_CONTROL) {
|
||||
AiragModel model = airagModelService.getById(id);
|
||||
//获取当前租户
|
||||
String currentTenantId = TokenUtils.getTenantIdByRequest(request);
|
||||
if (null == model || !model.getTenantId().equals(currentTenantId)) {
|
||||
return Result.error("删除AI模型失败，不能删除其他租户的AI模型！");
|
||||
}
|
||||
}
|
||||
//update-end---author:chenrui ---date:20250606 for：[issues/8337]关于ai工作列表的数据权限问题 #8337------------
|
||||
airagModelService.removeById(id);
|
||||
return Result.OK("删除成功!");
|
||||
}
|
||||
|
||||
/**
|
||||
* 通过id查询
|
||||
*
|
||||
* @param id
|
||||
* @return
|
||||
*/
|
||||
@GetMapping(value = "/queryById")
|
||||
public Result<AiragModel> queryById(@RequestParam(name = "id", required = true) String id) {
|
||||
AiragModel airagModel = airagModelService.getById(id);
|
||||
if (airagModel == null) {
|
||||
return Result.error("未找到对应数据");
|
||||
}
|
||||
return Result.OK(airagModel);
|
||||
}
|
||||
|
||||
/**
|
||||
* 导出excel
|
||||
*
|
||||
* @param request
|
||||
* @param airagModel
|
||||
*/
|
||||
@RequestMapping(value = "/exportXls")
|
||||
public ModelAndView exportXls(HttpServletRequest request, AiragModel airagModel) {
|
||||
return super.exportXls(request, airagModel, AiragModel.class, "AiRag模型配置");
|
||||
}
|
||||
|
||||
/**
|
||||
* 通过excel导入数据
|
||||
*
|
||||
* @param request
|
||||
* @param response
|
||||
* @return
|
||||
*/
|
||||
@RequestMapping(value = "/importExcel", method = RequestMethod.POST)
|
||||
public Result<?> importExcel(HttpServletRequest request, HttpServletResponse response) {
|
||||
return super.importExcel(request, response, AiragModel.class);
|
||||
}
|
||||
|
||||
@PostMapping(value = "/test")
|
||||
public Result<?> test(@RequestBody AiragModel airagModel) {
|
||||
// 验证 模型名称/模型类型/基础模型
|
||||
AssertUtils.assertNotEmpty("模型名称不能为空", airagModel.getName());
|
||||
AssertUtils.assertNotEmpty("模型类型不能为空", airagModel.getModelType());
|
||||
AssertUtils.assertNotEmpty("基础模型不能为空", airagModel.getModelName());
|
||||
try {
|
||||
if(LLMConsts.MODEL_TYPE_LLM.equals(airagModel.getModelType())){
|
||||
aiChatHandler.completions(airagModel, Collections.singletonList(UserMessage.from("test connection")), null);
|
||||
}else{
|
||||
AiModelOptions aiModelOptions = EmbeddingHandler.buildModelOptions(airagModel);
|
||||
EmbeddingModel embeddingModel = AiModelFactory.createEmbeddingModel(aiModelOptions);
|
||||
embeddingModel.embed("test text");
|
||||
}
|
||||
}catch (Exception e){
|
||||
log.error("测试模型连接失败", e);
|
||||
return Result.error("测试模型连接失败" + e.getMessage());
|
||||
}
|
||||
return Result.OK("测试模型连接成功");
|
||||
}
|
||||
|
||||
}
|
||||
+274
@@ -0,0 +1,274 @@
|
||||
//
|
||||
// Source code recreated from a .class file by IntelliJ IDEA
|
||||
// (powered by FernFlower decompiler)
|
||||
//
|
||||
|
||||
package org.jeecg.modules.airag.llm.document;
|
||||
|
||||
import dev.langchain4j.data.document.BlankDocumentException;
|
||||
import dev.langchain4j.data.document.Document;
|
||||
import dev.langchain4j.internal.Utils;
|
||||
import org.apache.commons.io.FilenameUtils;
|
||||
import org.apache.poi.hslf.usermodel.HSLFTextParagraph;
|
||||
import org.apache.poi.hwpf.HWPFDocument;
|
||||
import org.apache.poi.hwpf.extractor.WordExtractor;
|
||||
import org.apache.poi.ss.usermodel.*;
|
||||
import org.apache.poi.xslf.usermodel.XMLSlideShow;
|
||||
import org.apache.poi.xslf.usermodel.XSLFSlide;
|
||||
import org.apache.poi.xslf.usermodel.XSLFTextShape;
|
||||
import org.apache.poi.xwpf.usermodel.XWPFDocument;
|
||||
import org.apache.poi.xwpf.usermodel.XWPFParagraph;
|
||||
import org.apache.tika.Tika;
|
||||
import org.apache.tika.exception.ZeroByteFileException;
|
||||
import org.apache.tika.metadata.Metadata;
|
||||
import org.apache.tika.parser.AutoDetectParser;
|
||||
import org.apache.tika.parser.ParseContext;
|
||||
import org.apache.tika.parser.Parser;
|
||||
import org.apache.tika.sax.BodyContentHandler;
|
||||
import org.jeecg.common.util.AssertUtils;
|
||||
import org.xml.sax.ContentHandler;
|
||||
|
||||
import java.io.*;
|
||||
import java.nio.file.Files;
|
||||
import java.util.List;
|
||||
import java.util.function.Supplier;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
/**
|
||||
* tika文档解析器,重写langchain4j的TikaDocumentParser <br/>
|
||||
* jeecgboot目前不支持poi5.x,所以langchain4j同的方法不能用,自己实现
|
||||
* @author chenrui
|
||||
* @date 2025/3/5 16:19
|
||||
*/
|
||||
public class TikaDocumentParser {
|
||||
private static final Tika tika = new Tika();
|
||||
private static final int NO_WRITE_LIMIT = -1;
|
||||
public static final Supplier<Parser> DEFAULT_PARSER_SUPPLIER = AutoDetectParser::new;
|
||||
public static final Supplier<Metadata> DEFAULT_METADATA_SUPPLIER = Metadata::new;
|
||||
public static final Supplier<ParseContext> DEFAULT_PARSE_CONTEXT_SUPPLIER = ParseContext::new;
|
||||
public static final Supplier<ContentHandler> DEFAULT_CONTENT_HANDLER_SUPPLIER = () -> new BodyContentHandler(-1);
|
||||
private final Supplier<Parser> parserSupplier;
|
||||
private final Supplier<ContentHandler> contentHandlerSupplier;
|
||||
private final Supplier<Metadata> metadataSupplier;
|
||||
private final Supplier<ParseContext> parseContextSupplier;
|
||||
|
||||
public TikaDocumentParser() {
|
||||
this((Supplier) ((Supplier) null), (Supplier) null, (Supplier) null, (Supplier) null);
|
||||
}
|
||||
|
||||
|
||||
public TikaDocumentParser(Supplier<Parser> parserSupplier, Supplier<ContentHandler> contentHandlerSupplier, Supplier<Metadata> metadataSupplier, Supplier<ParseContext> parseContextSupplier) {
|
||||
this.parserSupplier = (Supplier) Utils.getOrDefault(parserSupplier, () -> DEFAULT_PARSER_SUPPLIER);
|
||||
this.contentHandlerSupplier = (Supplier) Utils.getOrDefault(contentHandlerSupplier, () -> DEFAULT_CONTENT_HANDLER_SUPPLIER);
|
||||
this.metadataSupplier = (Supplier) Utils.getOrDefault(metadataSupplier, () -> DEFAULT_METADATA_SUPPLIER);
|
||||
this.parseContextSupplier = (Supplier) Utils.getOrDefault(parseContextSupplier, () -> DEFAULT_PARSE_CONTEXT_SUPPLIER);
|
||||
}
|
||||
|
||||
public Document parse(File file) {
|
||||
AssertUtils.assertNotEmpty("请选择文件", file);
|
||||
try {
|
||||
// 用于解析
|
||||
InputStream isForParsing = Files.newInputStream(file.toPath());
|
||||
// 使用 Tika 自动检测 MIME 类型
|
||||
String fileName = file.getName().toLowerCase();
|
||||
if (fileName.endsWith(".txt")
|
||||
|| fileName.endsWith(".md")
|
||||
|| fileName.endsWith(".pdf")) {
|
||||
return extractByTika(isForParsing);
|
||||
} else if (fileName.endsWith(".docx")) {
|
||||
return extractTextFromDocx(isForParsing);
|
||||
} else if (fileName.endsWith(".doc")) {
|
||||
return extractTextFromDoc(isForParsing);
|
||||
} else if (fileName.endsWith(".xlsx")) {
|
||||
return extractTextFromExcel(isForParsing);
|
||||
} else if (fileName.endsWith(".xls")) {
|
||||
return extractTextFromExcel(isForParsing);
|
||||
} else if (fileName.endsWith(".pptx")) {
|
||||
return extractTextFromPptx(isForParsing);
|
||||
} else if (fileName.endsWith(".ppt")) {
|
||||
return extractTextFromPpt(isForParsing);
|
||||
} else {
|
||||
throw new IllegalArgumentException("不支持的文件格式: " + FilenameUtils.getExtension(fileName));
|
||||
}
|
||||
} catch (IOException e) {
|
||||
throw new RuntimeException(e);
|
||||
}
|
||||
}
|
||||
|
||||
private static Document tryExtractDocOrDocx(InputStream inputStream) throws IOException {
|
||||
try {
|
||||
// 先尝试 DOCX（基于 OPC XML 格式）
|
||||
return extractTextFromDocx(inputStream);
|
||||
} catch (Exception e1) {
|
||||
try {
|
||||
// 如果 DOCX 解析失败，则尝试 DOC（基于二进制格式）
|
||||
return extractTextFromDoc(inputStream);
|
||||
} catch (Exception e2) {
|
||||
throw new IOException("无法解析 DOC 或 DOCX 文件", e2);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 使用tika提取文件内容 <br/>
|
||||
* pdf/text/md等文件使用tika提取
|
||||
*
|
||||
* @param inputStream
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/5 14:41
|
||||
*/
|
||||
private Document extractByTika(InputStream inputStream) {
|
||||
try {
|
||||
Parser parser = (Parser) this.parserSupplier.get();
|
||||
ContentHandler contentHandler = (ContentHandler) this.contentHandlerSupplier.get();
|
||||
Metadata metadata = (Metadata) this.metadataSupplier.get();
|
||||
ParseContext parseContext = (ParseContext) this.parseContextSupplier.get();
|
||||
parser.parse(inputStream, contentHandler, metadata, parseContext);
|
||||
String text = contentHandler.toString();
|
||||
if (Utils.isNullOrBlank(text)) {
|
||||
throw new BlankDocumentException();
|
||||
} else {
|
||||
return Document.from(text);
|
||||
}
|
||||
} catch (BlankDocumentException e) {
|
||||
throw e;
|
||||
} catch (ZeroByteFileException var8) {
|
||||
throw new BlankDocumentException();
|
||||
} catch (Exception e) {
|
||||
throw new RuntimeException(e);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 提取docx文件内容
|
||||
*
|
||||
* @param inputStream
|
||||
* @return
|
||||
* @throws IOException
|
||||
* @author chenrui
|
||||
* @date 2025/3/5 14:42
|
||||
* @deprecated 因为jeecg主项目目前不支持poi5.x, 自己实现提取功能.
|
||||
*/
|
||||
@Deprecated
|
||||
private static Document extractTextFromDocx(InputStream inputStream) throws IOException {
|
||||
try (XWPFDocument document = new XWPFDocument(inputStream)) {
|
||||
StringBuilder text = new StringBuilder();
|
||||
for (XWPFParagraph para : document.getParagraphs()) {
|
||||
text.append(para.getText()).append("\n");
|
||||
}
|
||||
return Document.from(text.toString());
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 提取doc文件内容
|
||||
*
|
||||
* @param inputStream
|
||||
* @return
|
||||
* @throws IOException
|
||||
* @author chenrui
|
||||
* @date 2025/3/5 14:42
|
||||
* @deprecated 因为jeecg主项目目前不支持poi5.x, 自己实现提取功能.
|
||||
*/
|
||||
@Deprecated
|
||||
private static Document extractTextFromDoc(InputStream inputStream) throws IOException {
|
||||
try (HWPFDocument document = new HWPFDocument(inputStream);
|
||||
WordExtractor extractor = new WordExtractor(document)) {
|
||||
return Document.from(extractor.getText());
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 提取excel文件内容
|
||||
*
|
||||
* @param inputStream
|
||||
* @return
|
||||
* @throws IOException
|
||||
* @author chenrui
|
||||
* @date 2025/3/5 14:43
|
||||
* @deprecated 因为jeecg主项目目前不支持poi5.x, 自己实现提取功能.
|
||||
*/
|
||||
@Deprecated
|
||||
private static Document extractTextFromExcel(InputStream inputStream) throws IOException {
|
||||
try (Workbook workbook = WorkbookFactory.create(inputStream)) {
|
||||
StringBuilder text = new StringBuilder();
|
||||
for (Sheet sheet : workbook) {
|
||||
text.append("Sheet: ").append(sheet.getSheetName()).append("\n");
|
||||
for (Row row : sheet) {
|
||||
for (Cell cell : row) {
|
||||
text.append(cell.toString()).append("\t");
|
||||
}
|
||||
text.append("\n");
|
||||
}
|
||||
text.append("\n");
|
||||
}
|
||||
return Document.from(text.toString());
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 提取pptx文件内容
|
||||
*
|
||||
* @param inputStream
|
||||
* @return
|
||||
* @throws IOException
|
||||
* @author chenrui
|
||||
* @date 2025/3/5 14:43
|
||||
* @deprecated 因为jeecg主项目目前不支持poi5.x, 自己实现提取功能.
|
||||
*/
|
||||
@Deprecated
|
||||
private static Document extractTextFromPptx(InputStream inputStream) throws IOException {
|
||||
try (XMLSlideShow ppt = new XMLSlideShow(inputStream)) {
|
||||
StringBuilder text = new StringBuilder();
|
||||
for (XSLFSlide slide : ppt.getSlides()) {
|
||||
text.append("Slide ").append(slide.getSlideNumber()).append(":\n");
|
||||
List<XSLFTextShape> shapes = slide.getShapes().stream()
|
||||
.filter(s -> s instanceof XSLFTextShape)
|
||||
.map(s -> (XSLFTextShape) s)
|
||||
.collect(Collectors.toList());
|
||||
for (XSLFTextShape shape : shapes) {
|
||||
text.append(shape.getText()).append("\n");
|
||||
}
|
||||
text.append("\n");
|
||||
}
|
||||
return Document.from(text.toString());
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 提取ppt文件内容
|
||||
*
|
||||
* @param inputStream
|
||||
* @return
|
||||
* @throws IOException
|
||||
* @author chenrui
|
||||
* @date 2025/3/5 14:43
|
||||
* @deprecated 因为jeecg主项目目前不支持poi5.x, 自己实现提取功能.
|
||||
*/
|
||||
@Deprecated
|
||||
private static Document extractTextFromPpt(InputStream inputStream) throws IOException {
|
||||
try (org.apache.poi.hslf.usermodel.HSLFSlideShow ppt = new org.apache.poi.hslf.usermodel.HSLFSlideShow(inputStream)) {
|
||||
StringBuilder text = new StringBuilder();
|
||||
for (org.apache.poi.hslf.usermodel.HSLFSlide slide : ppt.getSlides()) {
|
||||
text.append("Slide ").append(slide.getSlideNumber()).append(":\n");
|
||||
for (List<HSLFTextParagraph> shapes : slide.getTextParagraphs()) {
|
||||
text.append(HSLFTextParagraph.getText(shapes)).append("\n");
|
||||
}
|
||||
text.append("\n");
|
||||
}
|
||||
return Document.from(text.toString());
|
||||
}
|
||||
}
|
||||
|
||||
private static byte[] toByteArray(InputStream inputStream) throws IOException {
|
||||
ByteArrayOutputStream buffer = new ByteArrayOutputStream();
|
||||
byte[] data = new byte[1024];
|
||||
int nRead;
|
||||
while ((nRead = inputStream.read(data, 0, data.length)) != -1) {
|
||||
buffer.write(data, 0, nRead);
|
||||
}
|
||||
return buffer.toByteArray();
|
||||
}
|
||||
|
||||
}
|
||||
+105
@@ -0,0 +1,105 @@
|
||||
package org.jeecg.modules.airag.llm.entity;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.IdType;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
import com.baomidou.mybatisplus.annotation.TableName;
|
||||
import com.fasterxml.jackson.annotation.JsonFormat;
|
||||
|
||||
import io.swagger.v3.oas.annotations.media.Schema;
|
||||
import lombok.Data;
|
||||
import org.jeecg.common.aspect.annotation.Dict;
|
||||
import org.jeecgframework.poi.excel.annotation.Excel;
|
||||
import org.springframework.format.annotation.DateTimeFormat;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
/**
|
||||
* @Description: AIRag知识库
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-18
|
||||
* @Version: V1.0
|
||||
*/
|
||||
@Schema(description="AIRag知识库")
|
||||
@Data
|
||||
@TableName("airag_knowledge")
|
||||
public class AiragKnowledge implements Serializable {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
/**
|
||||
* 主键
|
||||
*/
|
||||
@TableId(type = IdType.ASSIGN_ID)
|
||||
@Schema(description = "主键")
|
||||
private java.lang.String id;
|
||||
|
||||
/**
|
||||
* 创建人
|
||||
*/
|
||||
@Schema(description = "创建人")
|
||||
@Dict(dictTable = "sys_user",dicCode = "username",dicText = "realname")
|
||||
private java.lang.String createBy;
|
||||
|
||||
/**
|
||||
* 创建日期
|
||||
*/
|
||||
@JsonFormat(timezone = "GMT+8", pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@Schema(description = "创建日期")
|
||||
private java.util.Date createTime;
|
||||
|
||||
/**
|
||||
* 更新人
|
||||
*/
|
||||
@Schema(description = "更新人")
|
||||
private java.lang.String updateBy;
|
||||
|
||||
/**
|
||||
* 更新日期
|
||||
*/
|
||||
@JsonFormat(timezone = "GMT+8", pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@Schema(description = "更新日期")
|
||||
private java.util.Date updateTime;
|
||||
|
||||
/**
|
||||
* 所属部门
|
||||
*/
|
||||
@Schema(description = "所属部门")
|
||||
private java.lang.String sysOrgCode;
|
||||
|
||||
/**
|
||||
* 租户id
|
||||
*/
|
||||
@Excel(name = "租户id", width = 15)
|
||||
@Schema(description = "租户id")
|
||||
private java.lang.String tenantId;
|
||||
|
||||
/**
|
||||
* 知识库名称
|
||||
*/
|
||||
@Excel(name = "知识库名称", width = 15)
|
||||
@Schema(description = "知识库名称")
|
||||
private java.lang.String name;
|
||||
|
||||
/**
|
||||
* 向量模型id
|
||||
*/
|
||||
@Excel(name = "向量模型id", width = 15, dictTable = "airag_model where model_type = 'EMBED'", dicText = "name", dicCode = "id")
|
||||
@Dict(dictTable = "airag_model where model_type = 'EMBED'", dicText = "name", dicCode = "id")
|
||||
@Schema(description = "向量模型id")
|
||||
private java.lang.String embedId;
|
||||
|
||||
/**
|
||||
* 描述
|
||||
*/
|
||||
@Excel(name = "描述", width = 15)
|
||||
@Schema(description = "描述")
|
||||
private java.lang.String descr;
|
||||
|
||||
/**
|
||||
* 状态
|
||||
*/
|
||||
@Excel(name = "状态", width = 15)
|
||||
@Schema(description = "状态")
|
||||
private java.lang.String status;
|
||||
}
|
||||
+124
@@ -0,0 +1,124 @@
|
||||
package org.jeecg.modules.airag.llm.entity;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.*;
|
||||
import org.jeecg.common.aspect.annotation.Dict;
|
||||
import org.jeecg.common.constant.ProvinceCityArea;
|
||||
import org.jeecg.common.util.SpringContextUtils;
|
||||
import lombok.Data;
|
||||
import com.fasterxml.jackson.annotation.JsonFormat;
|
||||
import org.springframework.format.annotation.DateTimeFormat;
|
||||
import org.jeecgframework.poi.excel.annotation.Excel;
|
||||
|
||||
import java.util.Date;
|
||||
|
||||
|
||||
import io.swagger.v3.oas.annotations.media.Schema;
|
||||
|
||||
import java.io.UnsupportedEncodingException;
|
||||
|
||||
/**
|
||||
* @Description: airag知识库文档
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-18
|
||||
* @Version: V1.0
|
||||
*/
|
||||
@Schema(description="airag知识库文档")
|
||||
@Data
|
||||
@TableName("airag_knowledge_doc")
|
||||
public class AiragKnowledgeDoc implements Serializable {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
/**
|
||||
* 主键
|
||||
*/
|
||||
@TableId(type = IdType.ASSIGN_ID)
|
||||
@Schema(description = "主键")
|
||||
private String id;
|
||||
|
||||
/**
|
||||
* 创建人
|
||||
*/
|
||||
@Schema(description = "创建人")
|
||||
@Dict(dictTable = "sys_user",dicCode = "username",dicText = "realname")
|
||||
private String createBy;
|
||||
|
||||
/**
|
||||
* 创建日期
|
||||
*/
|
||||
@JsonFormat(timezone = "GMT+8", pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@Schema(description = "创建日期")
|
||||
private Date createTime;
|
||||
|
||||
/**
|
||||
* 更新人
|
||||
*/
|
||||
@Schema(description = "更新人")
|
||||
private String updateBy;
|
||||
|
||||
/**
|
||||
* 更新日期
|
||||
*/
|
||||
@JsonFormat(timezone = "GMT+8", pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@Schema(description = "更新日期")
|
||||
private Date updateTime;
|
||||
|
||||
/**
|
||||
* 所属部门
|
||||
*/
|
||||
@Schema(description = "所属部门")
|
||||
private String sysOrgCode;
|
||||
|
||||
/**
|
||||
* 租户id
|
||||
*/
|
||||
@Excel(name = "租户id", width = 15)
|
||||
@Schema(description = "租户id")
|
||||
private String tenantId;
|
||||
|
||||
/**
|
||||
* 知识库id
|
||||
*/
|
||||
@Schema(description = "知识库id")
|
||||
private String knowledgeId;
|
||||
|
||||
/**
|
||||
* 标题
|
||||
*/
|
||||
@Excel(name = "标题", width = 15)
|
||||
@Schema(description = "标题")
|
||||
private String title;
|
||||
|
||||
/**
|
||||
* 类型
|
||||
*/
|
||||
@Excel(name = "类型", width = 15, dicCode = "know_doc_type")
|
||||
@Schema(description = "类型")
|
||||
private String type;
|
||||
|
||||
/**
|
||||
* 内容
|
||||
*/
|
||||
@Excel(name = "内容", width = 15)
|
||||
@Schema(description = "内容")
|
||||
private String content;
|
||||
|
||||
/**
|
||||
* 元数据,存储上传文件的存储目录以及网站站点 <br/>
|
||||
* eg. {"filePath":"https://xxxxxx","website":"http://hellp.jeecg.com"}
|
||||
*/
|
||||
@Excel(name = "元数据", width = 15)
|
||||
@Schema(description = "元数据")
|
||||
private String metadata;
|
||||
|
||||
/**
|
||||
* 状态
|
||||
*/
|
||||
@Excel(name = "状态", width = 15)
|
||||
@Schema(description = "状态")
|
||||
private String status;
|
||||
|
||||
}
|
||||
+124
@@ -0,0 +1,124 @@
|
||||
package org.jeecg.modules.airag.llm.entity;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.io.UnsupportedEncodingException;
|
||||
import java.util.Date;
|
||||
import java.math.BigDecimal;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.IdType;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
import com.baomidou.mybatisplus.annotation.TableName;
|
||||
import com.baomidou.mybatisplus.annotation.TableLogic;
|
||||
import org.jeecg.common.constant.ProvinceCityArea;
|
||||
import org.jeecg.common.util.SpringContextUtils;
|
||||
import lombok.Data;
|
||||
import com.fasterxml.jackson.annotation.JsonFormat;
|
||||
import org.springframework.format.annotation.DateTimeFormat;
|
||||
import org.jeecgframework.poi.excel.annotation.Excel;
|
||||
import org.jeecg.common.aspect.annotation.Dict;
|
||||
|
||||
import io.swagger.v3.oas.annotations.media.Schema;
|
||||
import lombok.EqualsAndHashCode;
|
||||
import lombok.experimental.Accessors;
|
||||
|
||||
/**
|
||||
* @Description: AiRag模型配置
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-17
|
||||
* @Version: V1.0
|
||||
*/
|
||||
@Data
|
||||
@TableName("airag_model")
|
||||
@Accessors(chain = true)
|
||||
@EqualsAndHashCode(callSuper = false)
|
||||
@Schema(description="AiRag模型配置")
|
||||
public class AiragModel implements Serializable {
|
||||
private static final long serialVersionUID = 1L;
|
||||
|
||||
/**
|
||||
* 主键
|
||||
*/
|
||||
@TableId(type = IdType.ASSIGN_ID)
|
||||
@Schema(description = "主键")
|
||||
private String id;
|
||||
/**
|
||||
* 创建人
|
||||
*/
|
||||
@Schema(description = "创建人")
|
||||
@Dict(dictTable = "sys_user",dicCode = "username",dicText = "realname")
|
||||
private String createBy;
|
||||
/**
|
||||
* 创建日期
|
||||
*/
|
||||
@JsonFormat(timezone = "GMT+8", pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@Schema(description = "创建日期")
|
||||
private Date createTime;
|
||||
/**
|
||||
* 更新人
|
||||
*/
|
||||
@Schema(description = "更新人")
|
||||
private String updateBy;
|
||||
/**
|
||||
* 更新日期
|
||||
*/
|
||||
@JsonFormat(timezone = "GMT+8", pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")
|
||||
@Schema(description = "更新日期")
|
||||
private Date updateTime;
|
||||
/**
|
||||
* 所属部门
|
||||
*/
|
||||
@Schema(description = "所属部门")
|
||||
private String sysOrgCode;
|
||||
/**
|
||||
* 租户id
|
||||
*/
|
||||
@Excel(name = "租户id", width = 15)
|
||||
@Schema(description = "租户id")
|
||||
private String tenantId;
|
||||
/**
|
||||
* 名称
|
||||
*/
|
||||
@Excel(name = "名称", width = 15)
|
||||
@Schema(description = "名称")
|
||||
private String name;
|
||||
/**
|
||||
* 供应者
|
||||
*/
|
||||
@Excel(name = "供应者", width = 15, dicCode = "model_provider")
|
||||
@Dict(dicCode = "model_provider")
|
||||
@Schema(description = "供应者")
|
||||
private String provider;
|
||||
/**
|
||||
* 模型类型
|
||||
*/
|
||||
@Excel(name = "模型类型", width = 15, dicCode = "model_type")
|
||||
@Dict(dicCode = "model_type")
|
||||
@Schema(description = "模型类型")
|
||||
private String modelType;
|
||||
/**
|
||||
* 模型名称
|
||||
*/
|
||||
@Excel(name = "模型名称", width = 15)
|
||||
@Schema(description = "模型名称")
|
||||
private String modelName;
|
||||
/**
|
||||
* API域名
|
||||
*/
|
||||
@Excel(name = "API域名", width = 15)
|
||||
@Schema(description = "API域名")
|
||||
private String baseUrl;
|
||||
/**
|
||||
* 凭证信息
|
||||
*/
|
||||
@Excel(name = "凭证信息", width = 15)
|
||||
@Schema(description = "凭证信息")
|
||||
private String credential;
|
||||
/**
|
||||
* 模型参数
|
||||
*/
|
||||
@Excel(name = "模型参数", width = 15)
|
||||
@Schema(description = "模型参数")
|
||||
private String modelParams;
|
||||
}
|
||||
+296
@@ -0,0 +1,296 @@
|
||||
package org.jeecg.modules.airag.llm.handler;
|
||||
|
||||
import com.alibaba.fastjson.JSONObject;
|
||||
import dev.langchain4j.data.message.*;
|
||||
import dev.langchain4j.rag.query.router.QueryRouter;
|
||||
import dev.langchain4j.service.TokenStream;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.jeecg.ai.handler.LLMHandler;
|
||||
import org.jeecg.common.util.AssertUtils;
|
||||
import org.jeecg.common.util.oConvertUtils;
|
||||
import org.jeecg.modules.airag.common.handler.AIChatParams;
|
||||
import org.jeecg.modules.airag.common.handler.IAIChatHandler;
|
||||
import org.jeecg.modules.airag.llm.consts.LLMConsts;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragModel;
|
||||
import org.jeecg.modules.airag.llm.mapper.AiragModelMapper;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.beans.factory.annotation.Value;
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
import java.nio.file.Files;
|
||||
import java.nio.file.Path;
|
||||
import java.nio.file.Paths;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Base64;
|
||||
import java.util.List;
|
||||
import java.util.regex.Matcher;
|
||||
|
||||
/**
|
||||
* 大模型聊天工具类
|
||||
*
|
||||
* @Author: chenrui
|
||||
* @Date: 2025/2/18 14:31
|
||||
*/
|
||||
@Slf4j
|
||||
@Component
|
||||
public class AIChatHandler implements IAIChatHandler {
|
||||
|
||||
@Autowired
|
||||
AiragModelMapper airagModelMapper;
|
||||
|
||||
@Autowired
|
||||
EmbeddingHandler embeddingHandler;
|
||||
|
||||
@Autowired
|
||||
LLMHandler llmHandler;
|
||||
|
||||
|
||||
@Value(value = "${jeecg.path.upload:}")
|
||||
private String uploadpath;
|
||||
|
||||
/**
|
||||
* 问答
|
||||
*
|
||||
* @param modelId
|
||||
* @param messages
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 21:03
|
||||
*/
|
||||
@Override
|
||||
public String completions(String modelId, List<ChatMessage> messages) {
|
||||
AssertUtils.assertNotEmpty("至少发送一条消息", messages);
|
||||
AssertUtils.assertNotEmpty("请选择模型", modelId);
|
||||
// 整理消息
|
||||
return completions(modelId, messages, null);
|
||||
}
|
||||
|
||||
/**
|
||||
* 问答
|
||||
*
|
||||
* @param modelId
|
||||
* @param messages
|
||||
* @param params
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 21:03
|
||||
*/
|
||||
@Override
|
||||
public String completions(String modelId, List<ChatMessage> messages, AIChatParams params) {
|
||||
AssertUtils.assertNotEmpty("至少发送一条消息", messages);
|
||||
AssertUtils.assertNotEmpty("请选择模型", modelId);
|
||||
|
||||
AiragModel airagModel = airagModelMapper.getByIdIgnoreTenant(modelId);
|
||||
return completions(airagModel, messages, params);
|
||||
}
|
||||
|
||||
/**
|
||||
* 问答
|
||||
*
|
||||
* @param airagModel
|
||||
* @param messages
|
||||
* @param params
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/24 17:30
|
||||
*/
|
||||
public String completions(AiragModel airagModel, List<ChatMessage> messages, AIChatParams params) {
|
||||
params = mergeParams(airagModel, params);
|
||||
String resp = llmHandler.completions(messages, params);
|
||||
if (resp.contains("</think>")
|
||||
&& (null == params.getNoThinking() || params.getNoThinking())) {
|
||||
String[] thinkSplit = resp.split("</think>");
|
||||
resp = thinkSplit[thinkSplit.length - 1];
|
||||
}
|
||||
return resp;
|
||||
}
|
||||
|
||||
/**
|
||||
* 使用默认模型问答
|
||||
*
|
||||
* @param messages
|
||||
* @param params
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/12 15:13
|
||||
*/
|
||||
@Override
|
||||
public String completionsByDefaultModel(List<ChatMessage> messages, AIChatParams params) {
|
||||
return completions(new AiragModel(), messages, params);
|
||||
}
|
||||
|
||||
/**
|
||||
* 聊天(流式)
|
||||
*
|
||||
* @param modelId
|
||||
* @param messages
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/20 21:06
|
||||
*/
|
||||
@Override
|
||||
public TokenStream chat(String modelId, List<ChatMessage> messages) {
|
||||
return chat(modelId, messages, null);
|
||||
}
|
||||
|
||||
/**
|
||||
* 聊天(流式)
|
||||
*
|
||||
* @param modelId
|
||||
* @param messages
|
||||
* @param params
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 21:03
|
||||
*/
|
||||
@Override
|
||||
public TokenStream chat(String modelId, List<ChatMessage> messages, AIChatParams params) {
|
||||
AssertUtils.assertNotEmpty("至少发送一条消息", messages);
|
||||
AssertUtils.assertNotEmpty("请选择模型", modelId);
|
||||
|
||||
AiragModel airagModel = airagModelMapper.getByIdIgnoreTenant(modelId);
|
||||
return chat(airagModel, messages, params);
|
||||
}
|
||||
|
||||
/**
|
||||
* 聊天(流式)
|
||||
*
|
||||
* @param airagModel
|
||||
* @param messages
|
||||
* @param params
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/24 17:29
|
||||
*/
|
||||
private TokenStream chat(AiragModel airagModel, List<ChatMessage> messages, AIChatParams params) {
|
||||
params = mergeParams(airagModel, params);
|
||||
return llmHandler.chat(messages, params);
|
||||
}
|
||||
|
||||
/**
|
||||
* 使用默认模型聊天
|
||||
*
|
||||
* @param messages
|
||||
* @param params
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/12 15:13
|
||||
*/
|
||||
@Override
|
||||
public TokenStream chatByDefaultModel(List<ChatMessage> messages, AIChatParams params) {
|
||||
return chat(new AiragModel(), messages, params);
|
||||
}
|
||||
|
||||
/**
|
||||
* 合并 airagmodel和params,params为准
|
||||
*
|
||||
* @param airagModel
|
||||
* @param params
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/11 17:45
|
||||
*/
|
||||
private AIChatParams mergeParams(AiragModel airagModel, AIChatParams params) {
|
||||
if (null == airagModel) {
|
||||
return params;
|
||||
}
|
||||
if (params == null) {
|
||||
params = new AIChatParams();
|
||||
}
|
||||
|
||||
params.setProvider(airagModel.getProvider());
|
||||
params.setModelName(airagModel.getModelName());
|
||||
params.setBaseUrl(airagModel.getBaseUrl());
|
||||
if (oConvertUtils.isObjectNotEmpty(airagModel.getCredential())) {
|
||||
JSONObject modelCredential = JSONObject.parseObject(airagModel.getCredential());
|
||||
params.setApiKey(oConvertUtils.getString(modelCredential.getString("apiKey"), null));
|
||||
params.setSecretKey(oConvertUtils.getString(modelCredential.getString("secretKey"), null));
|
||||
}
|
||||
if (oConvertUtils.isObjectNotEmpty(airagModel.getModelParams())) {
|
||||
JSONObject modelParams = JSONObject.parseObject(airagModel.getModelParams());
|
||||
if (oConvertUtils.isObjectEmpty(params.getTemperature())) {
|
||||
params.setTemperature(modelParams.getDouble("temperature"));
|
||||
}
|
||||
if (oConvertUtils.isObjectEmpty(params.getTopP())) {
|
||||
params.setTopP(modelParams.getDouble("topP"));
|
||||
}
|
||||
if (oConvertUtils.isObjectEmpty(params.getPresencePenalty())) {
|
||||
params.setPresencePenalty(modelParams.getDouble("presencePenalty"));
|
||||
}
|
||||
if (oConvertUtils.isObjectEmpty(params.getFrequencyPenalty())) {
|
||||
params.setFrequencyPenalty(modelParams.getDouble("frequencyPenalty"));
|
||||
}
|
||||
if (oConvertUtils.isObjectEmpty(params.getMaxTokens())) {
|
||||
params.setMaxTokens(modelParams.getInteger("maxTokens"));
|
||||
}
|
||||
if (oConvertUtils.isObjectEmpty(params.getTimeout())) {
|
||||
params.setTimeout(modelParams.getInteger("timeout"));
|
||||
}
|
||||
}
|
||||
|
||||
// RAG
|
||||
List<String> knowIds = params.getKnowIds();
|
||||
if (oConvertUtils.isObjectNotEmpty(knowIds)) {
|
||||
QueryRouter queryRouter = embeddingHandler.getQueryRouter(knowIds, params.getTopNumber(), params.getSimilarity());
|
||||
params.setQueryRouter(queryRouter);
|
||||
}
|
||||
|
||||
// 设置确保maxTokens值正确
|
||||
if (oConvertUtils.isObjectNotEmpty(params.getMaxTokens()) && params.getMaxTokens() <= 0) {
|
||||
params.setMaxTokens(null);
|
||||
}
|
||||
|
||||
// 默认超时时间
|
||||
if(oConvertUtils.isObjectEmpty(params.getTimeout())){
|
||||
params.setTimeout(60);
|
||||
}
|
||||
|
||||
return params;
|
||||
}
|
||||
|
||||
@Override
|
||||
public UserMessage buildUserMessage(String content, List<String> images) {
|
||||
AssertUtils.assertNotEmpty("请输入消息内容", content);
|
||||
List<Content> contents = new ArrayList<>();
|
||||
contents.add(TextContent.from(content));
|
||||
if (oConvertUtils.isObjectNotEmpty(images)) {
|
||||
// 获取所有图片,将他们转换为ImageContent
|
||||
List<ImageContent> imageContents = buildImageContents(images);
|
||||
contents.addAll(imageContents);
|
||||
}
|
||||
return UserMessage.from(contents);
|
||||
}
|
||||
|
||||
@Override
|
||||
public List<ImageContent> buildImageContents(List<String> images) {
|
||||
List<ImageContent> imageContents = new ArrayList<>();
|
||||
for (String imageUrl : images) {
|
||||
Matcher matcher = LLMConsts.WEB_PATTERN.matcher(imageUrl);
|
||||
if (matcher.matches()) {
|
||||
// 来源于网络
|
||||
imageContents.add(ImageContent.from(imageUrl));
|
||||
} else {
|
||||
// 本地文件
|
||||
String filePath = uploadpath + File.separator + imageUrl;
|
||||
// 读取文件并转换为 base64 编码字符串
|
||||
try {
|
||||
Path path = Paths.get(filePath);
|
||||
byte[] fileContent = Files.readAllBytes(path);
|
||||
String base64Data = Base64.getEncoder().encodeToString(fileContent);
|
||||
// 获取文件的 MIME 类型
|
||||
String mimeType = Files.probeContentType(path);
|
||||
// 构建 ImageContent 对象
|
||||
imageContents.add(ImageContent.from(base64Data, mimeType));
|
||||
} catch (IOException e) {
|
||||
log.error("读取文件失败: " + filePath, e);
|
||||
throw new RuntimeException("发送消息失败,读取文件异常:" + e.getMessage(), e);
|
||||
}
|
||||
}
|
||||
}
|
||||
return imageContents;
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
+139
@@ -0,0 +1,139 @@
|
||||
package org.jeecg.modules.airag.llm.handler;
|
||||
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.apache.commons.lang.ArrayUtils;
|
||||
|
||||
import java.io.*;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* @Description: 命令行执行工具类
|
||||
* @Author: chenrui
|
||||
* @Date: 2024/4/8 10:11
|
||||
*/
|
||||
@Slf4j
|
||||
public class CommandExecUtil {
|
||||
|
||||
|
||||
/**
|
||||
* 执行命令行
|
||||
*
|
||||
* @param command
|
||||
* @param args
|
||||
* @return
|
||||
* @throws IOException
|
||||
* @author chenrui
|
||||
* @date 2024/4/9 10:59
|
||||
*/
|
||||
public static String execCommand(String command, String[] args) throws IOException {
|
||||
if (null == command || command.isEmpty()) {
|
||||
throw new IllegalArgumentException("命令不能为空");
|
||||
}
|
||||
return execCommand(command.split(" "), args);
|
||||
}
|
||||
|
||||
/**
|
||||
* 执行命令行
|
||||
*
|
||||
* @param command 脚本目录
|
||||
* @param args 参数
|
||||
* @author chenrui
|
||||
* @date 2024/4/09 10:30
|
||||
*/
|
||||
public static String execCommand(String[] command, String[] args) throws IOException {
|
||||
|
||||
if (null == command || command.length == 0) {
|
||||
throw new IllegalArgumentException("命令不能为空");
|
||||
}
|
||||
|
||||
if (null != args && args.length > 0) {
|
||||
command = (String[]) ArrayUtils.addAll(command, args);
|
||||
}
|
||||
|
||||
// windows系统处理文件夹空格问题
|
||||
if (System.getProperty("os.name").toLowerCase().startsWith("windows")) {
|
||||
List<String> commandNew = new ArrayList<>(command.length + 2);
|
||||
commandNew.addAll(Arrays.asList("cmd.exe", "/c"));
|
||||
for (String tempCommand : command) {
|
||||
if (tempCommand.contains(" ")) {
|
||||
tempCommand = "\"" + tempCommand.replaceAll("\"", "'") + "\"";
|
||||
}
|
||||
commandNew.add(tempCommand);
|
||||
}
|
||||
command = commandNew.toArray(new String[0]);
|
||||
}
|
||||
|
||||
|
||||
Process process = null;
|
||||
try {
|
||||
log.debug(" =============================== Runtime command Script ===============================" );
|
||||
log.debug(String.join(" ", command));
|
||||
log.debug(" =============================== Runtime command Script =============================== " );
|
||||
process = Runtime.getRuntime().exec(command);
|
||||
try (ByteArrayOutputStream resultOutStream = new ByteArrayOutputStream();
|
||||
InputStream processInStream = new BufferedInputStream(process.getInputStream())) {
|
||||
new Thread(new InputStreamRunnable(process.getErrorStream(), "ErrorStream")).start();
|
||||
int num;
|
||||
byte[] bs = new byte[1024];
|
||||
while ((num = processInStream.read(bs)) != -1) {
|
||||
resultOutStream.write(bs, 0, num);
|
||||
String stepMsg = new String(bs);
|
||||
// log.debug("命令行日志:" + stepMsg);
|
||||
if (stepMsg.contains("input any key to continue...")) {
|
||||
process.destroy();
|
||||
}
|
||||
}
|
||||
String result = resultOutStream.toString();
|
||||
log.debug("执行命令完成:" + result);
|
||||
return result;
|
||||
} catch (IOException ex) {
|
||||
throw new RuntimeException(ex);
|
||||
}
|
||||
} catch (IOException e) {
|
||||
log.error(e.getMessage(), e);
|
||||
throw e;
|
||||
} finally {
|
||||
if (process != null) {
|
||||
process.destroy();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* exec 控制台输出获取线程类
|
||||
* 使用单独的线程获取控制台输出,防止输入流阻塞
|
||||
*
|
||||
* @author chenrui
|
||||
* @date 2024/4/09 10:30
|
||||
*/
|
||||
static class InputStreamRunnable implements Runnable {
|
||||
BufferedReader bReader = null;
|
||||
String type = null;
|
||||
|
||||
public InputStreamRunnable(InputStream is, String _type) {
|
||||
try {
|
||||
bReader = new BufferedReader(new InputStreamReader(new BufferedInputStream(is), StandardCharsets.UTF_8));
|
||||
type = _type;
|
||||
} catch (Exception ex) {
|
||||
}
|
||||
}
|
||||
|
||||
@SuppressWarnings("unused")
|
||||
public void run() {
|
||||
String line;
|
||||
int lineNum = 0;
|
||||
|
||||
try {
|
||||
while ((line = bReader.readLine()) != null) {
|
||||
lineNum++;
|
||||
// Thread.sleep(200);
|
||||
}
|
||||
bReader.close();
|
||||
} catch (Exception ignored) {
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
+617
@@ -0,0 +1,617 @@
|
||||
package org.jeecg.modules.airag.llm.handler;
|
||||
|
||||
import com.alibaba.fastjson.JSONObject;
|
||||
import com.google.common.collect.Lists;
|
||||
import dev.langchain4j.data.document.Document;
|
||||
import dev.langchain4j.data.document.DocumentSplitter;
|
||||
import dev.langchain4j.data.document.Metadata;
|
||||
import dev.langchain4j.data.document.splitter.DocumentSplitters;
|
||||
import dev.langchain4j.data.embedding.Embedding;
|
||||
import dev.langchain4j.data.segment.TextSegment;
|
||||
import dev.langchain4j.model.embedding.EmbeddingModel;
|
||||
import dev.langchain4j.model.openai.OpenAiTokenizer;
|
||||
import dev.langchain4j.rag.content.retriever.ContentRetriever;
|
||||
import dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever;
|
||||
import dev.langchain4j.rag.query.router.DefaultQueryRouter;
|
||||
import dev.langchain4j.rag.query.router.QueryRouter;
|
||||
import dev.langchain4j.store.embedding.EmbeddingMatch;
|
||||
import dev.langchain4j.store.embedding.EmbeddingSearchRequest;
|
||||
import dev.langchain4j.store.embedding.EmbeddingStore;
|
||||
import dev.langchain4j.store.embedding.EmbeddingStoreIngestor;
|
||||
import dev.langchain4j.store.embedding.pgvector.PgVectorEmbeddingStore;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.apache.commons.io.FilenameUtils;
|
||||
import org.apache.tika.parser.AutoDetectParser;
|
||||
import org.jeecg.ai.factory.AiModelFactory;
|
||||
import org.jeecg.ai.factory.AiModelOptions;
|
||||
import org.jeecg.common.exception.JeecgBootException;
|
||||
import org.jeecg.common.util.*;
|
||||
import org.jeecg.modules.airag.common.handler.IEmbeddingHandler;
|
||||
import org.jeecg.modules.airag.common.vo.knowledge.KnowledgeSearchResult;
|
||||
import org.jeecg.modules.airag.llm.config.EmbedStoreConfigBean;
|
||||
import org.jeecg.modules.airag.llm.config.KnowConfigBean;
|
||||
import org.jeecg.modules.airag.llm.consts.LLMConsts;
|
||||
import org.jeecg.modules.airag.llm.document.TikaDocumentParser;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragKnowledge;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragKnowledgeDoc;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragModel;
|
||||
import org.jeecg.modules.airag.llm.mapper.AiragKnowledgeMapper;
|
||||
import org.jeecg.modules.airag.llm.mapper.AiragModelMapper;
|
||||
import org.jeecg.modules.airag.llm.service.IAiragKnowledgeService;
|
||||
import org.jetbrains.annotations.NotNull;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.beans.factory.annotation.Value;
|
||||
import org.springframework.context.annotation.Lazy;
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
import java.util.*;
|
||||
import java.util.concurrent.ConcurrentHashMap;
|
||||
import java.util.regex.Matcher;
|
||||
import java.util.regex.Pattern;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import static dev.langchain4j.store.embedding.filter.MetadataFilterBuilder.metadataKey;
|
||||
import static org.jeecg.modules.airag.llm.consts.LLMConsts.KNOWLEDGE_DOC_TYPE_FILE;
|
||||
import static org.jeecg.modules.airag.llm.consts.LLMConsts.KNOWLEDGE_DOC_TYPE_WEB;
|
||||
|
||||
/**
|
||||
* 向量工具类
|
||||
*
|
||||
* @Author: chenrui
|
||||
* @Date: 2025/2/18 14:31
|
||||
*/
|
||||
@Slf4j
|
||||
@Component
|
||||
public class EmbeddingHandler implements IEmbeddingHandler {
|
||||
|
||||
@Autowired
|
||||
EmbedStoreConfigBean embedStoreConfigBean;
|
||||
|
||||
@Autowired
|
||||
private AiragModelMapper airagModelMapper;
|
||||
|
||||
@Autowired
|
||||
@Lazy
|
||||
private IAiragKnowledgeService airagKnowledgeService;
|
||||
|
||||
@Autowired
|
||||
private AiragKnowledgeMapper airagKnowledgeMapper;
|
||||
|
||||
@Value(value = "${jeecg.path.upload:}")
|
||||
private String uploadpath;
|
||||
|
||||
@Autowired
|
||||
KnowConfigBean knowConfigBean;
|
||||
|
||||
/**
|
||||
* 默认分段长度
|
||||
*/
|
||||
private static final int DEFAULT_SEGMENT_SIZE = 1000;
|
||||
|
||||
/**
|
||||
* 默认分段重叠长度
|
||||
*/
|
||||
private static final int DEFAULT_OVERLAP_SIZE = 50;
|
||||
|
||||
/**
|
||||
* 向量存储元数据:knowledgeId
|
||||
*/
|
||||
public static final String EMBED_STORE_METADATA_KNOWLEDGEID = "knowledgeId";
|
||||
|
||||
/**
|
||||
* 向量存储元数据:docId
|
||||
*/
|
||||
public static final String EMBED_STORE_METADATA_DOCID = "docId";
|
||||
|
||||
/**
|
||||
* 向量存储元数据:docName
|
||||
*/
|
||||
public static final String EMBED_STORE_METADATA_DOCNAME = "docName";
|
||||
|
||||
/**
|
||||
* 向量存储缓存
|
||||
*/
|
||||
private static final ConcurrentHashMap<String, EmbeddingStore<TextSegment>> EMBED_STORE_CACHE = new ConcurrentHashMap<>();
|
||||
|
||||
|
||||
/**
|
||||
* 正则匹配: md图片
|
||||
* "!\\[(.*?)]\\((.*?)(\\s*=\\d+)?\\)"
|
||||
*/
|
||||
private static final Pattern PATTERN_MD_IMAGE = Pattern.compile("!\\[(.*?)]\\((.*?)\\)");
|
||||
|
||||
/**
|
||||
* 向量化文档
|
||||
*
|
||||
* @param knowId
|
||||
* @param doc
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 11:52
|
||||
*/
|
||||
public Map<String, Object> embeddingDocument(String knowId, AiragKnowledgeDoc doc) {
|
||||
AiragKnowledge airagKnowledge = airagKnowledgeService.getById(knowId);
|
||||
AssertUtils.assertNotEmpty("知识库不存在", airagKnowledge);
|
||||
AssertUtils.assertNotEmpty("请先为知识库配置向量模型库", airagKnowledge.getEmbedId());
|
||||
AssertUtils.assertNotEmpty("文档不能为空", doc);
|
||||
// 读取文档
|
||||
String content = doc.getContent();
|
||||
// 向量化并存储
|
||||
if (oConvertUtils.isEmpty(content)) {
|
||||
switch (doc.getType()) {
|
||||
case KNOWLEDGE_DOC_TYPE_FILE:
|
||||
//解析文件
|
||||
if (knowConfigBean.isEnableMinerU()) {
|
||||
parseFileByMinerU(doc);
|
||||
}
|
||||
content = parseFile(doc);
|
||||
break;
|
||||
case KNOWLEDGE_DOC_TYPE_WEB:
|
||||
// TODO author: chenrui for:读取网站内容 date:2025/2/18
|
||||
break;
|
||||
}
|
||||
}
|
||||
//update-begin---author:chenrui ---date:20250307 for：[QQYUN-11443]【AI】是不是应该把标题也生成到向量库里，标题一般是有意义的------------
|
||||
if (oConvertUtils.isNotEmpty(doc.getTitle())) {
|
||||
content = doc.getTitle() + "\n\n" + content;
|
||||
}
|
||||
//update-end---author:chenrui ---date:20250307 for：[QQYUN-11443]【AI】是不是应该把标题也生成到向量库里，标题一般是有意义的------------
|
||||
|
||||
// 向量化 date:2025/2/18
|
||||
AiragModel model = getEmbedModelData(airagKnowledge.getEmbedId());
|
||||
AiModelOptions modelOp = buildModelOptions(model);
|
||||
EmbeddingModel embeddingModel = AiModelFactory.createEmbeddingModel(modelOp);
|
||||
EmbeddingStore<TextSegment> embeddingStore = getEmbedStore(model);
|
||||
// 删除旧数据
|
||||
embeddingStore.removeAll(metadataKey(EMBED_STORE_METADATA_DOCID).isEqualTo(doc.getId()));
|
||||
// 分段器
|
||||
DocumentSplitter splitter = DocumentSplitters.recursive(DEFAULT_SEGMENT_SIZE, DEFAULT_OVERLAP_SIZE, new OpenAiTokenizer());
|
||||
// 分段并存储
|
||||
EmbeddingStoreIngestor ingestor = EmbeddingStoreIngestor.builder()
|
||||
.documentSplitter(splitter)
|
||||
.embeddingModel(embeddingModel)
|
||||
.embeddingStore(embeddingStore)
|
||||
.build();
|
||||
Metadata metadata = Metadata.metadata(EMBED_STORE_METADATA_DOCID, doc.getId())
|
||||
.put(EMBED_STORE_METADATA_KNOWLEDGEID, doc.getKnowledgeId())
|
||||
.put(EMBED_STORE_METADATA_DOCNAME, FilenameUtils.getName(doc.getTitle()));
|
||||
Document from = Document.from(content, metadata);
|
||||
ingestor.ingest(from);
|
||||
return metadata.toMap();
|
||||
}
|
||||
|
||||
/**
|
||||
* 向量查询(多知识库)
|
||||
*
|
||||
* @param knowIds
|
||||
* @param queryText
|
||||
* @param topNumber
|
||||
* @param similarity
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 16:52
|
||||
*/
|
||||
@Override
|
||||
public KnowledgeSearchResult embeddingSearch(List<String> knowIds, String queryText, Integer topNumber, Double similarity) {
|
||||
AssertUtils.assertNotEmpty("请选择知识库", knowIds);
|
||||
AssertUtils.assertNotEmpty("请填写查询内容", queryText);
|
||||
|
||||
topNumber = oConvertUtils.getInteger(topNumber, 5);
|
||||
|
||||
//命中的文档列表
|
||||
List<Map<String, Object>> documents = new ArrayList<>(16);
|
||||
for (String knowId : knowIds) {
|
||||
List<Map<String, Object>> searchResp = searchEmbedding(knowId, queryText, topNumber, similarity);
|
||||
if (oConvertUtils.isObjectNotEmpty(searchResp)) {
|
||||
documents.addAll(searchResp);
|
||||
}
|
||||
}
|
||||
|
||||
//命中的文档内容
|
||||
StringBuilder data = new StringBuilder();
|
||||
// 对documents按score降序排序并取前topNumber个
|
||||
List<Map<String, Object>> sortedDocuments = documents.stream()
|
||||
.sorted(Comparator.comparingDouble((Map<String, Object> doc) -> (Double) doc.get("score")).reversed())
|
||||
.limit(topNumber)
|
||||
.peek(doc -> data.append(doc.get("content")).append("\n"))
|
||||
.collect(Collectors.toList());
|
||||
|
||||
return new KnowledgeSearchResult(data.toString(), sortedDocuments);
|
||||
}
|
||||
|
||||
/**
|
||||
* 向量查询
|
||||
*
|
||||
* @param knowId
|
||||
* @param queryText
|
||||
* @param topNumber
|
||||
* @param similarity
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 16:52
|
||||
*/
|
||||
public List<Map<String, Object>> searchEmbedding(String knowId, String queryText, Integer topNumber, Double similarity) {
|
||||
AssertUtils.assertNotEmpty("请选择知识库", knowId);
|
||||
AiragKnowledge knowledge = airagKnowledgeMapper.getByIdIgnoreTenant(knowId);
|
||||
AssertUtils.assertNotEmpty("知识库不存在", knowledge);
|
||||
AssertUtils.assertNotEmpty("请填写查询内容", queryText);
|
||||
AiragModel model = getEmbedModelData(knowledge.getEmbedId());
|
||||
|
||||
AiModelOptions modelOp = buildModelOptions(model);
|
||||
EmbeddingModel embeddingModel = AiModelFactory.createEmbeddingModel(modelOp);
|
||||
Embedding queryEmbedding = embeddingModel.embed(queryText).content();
|
||||
|
||||
topNumber = oConvertUtils.getInteger(topNumber, modelOp.getTopNumber());
|
||||
similarity = oConvertUtils.getDou(similarity, modelOp.getSimilarity());
|
||||
EmbeddingSearchRequest embeddingSearchRequest = EmbeddingSearchRequest.builder()
|
||||
.queryEmbedding(queryEmbedding)
|
||||
.maxResults(topNumber)
|
||||
.minScore(similarity)
|
||||
.filter(metadataKey(EMBED_STORE_METADATA_KNOWLEDGEID).isEqualTo(knowId))
|
||||
.build();
|
||||
|
||||
EmbeddingStore<TextSegment> embeddingStore = getEmbedStore(model);
|
||||
List<EmbeddingMatch<TextSegment>> relevant = embeddingStore.search(embeddingSearchRequest).matches();
|
||||
List<Map<String, Object>> result = new ArrayList<>();
|
||||
if (oConvertUtils.isObjectNotEmpty(relevant)) {
|
||||
result = relevant.stream().map(matchRes -> {
|
||||
Map<String, Object> data = new HashMap<>();
|
||||
data.put("score", matchRes.score());
|
||||
data.put("content", matchRes.embedded().text());
|
||||
Metadata metadata = matchRes.embedded().metadata();
|
||||
data.put("chunk", metadata.getInteger("index"));
|
||||
data.put(EMBED_STORE_METADATA_DOCNAME, metadata.getString(EMBED_STORE_METADATA_DOCNAME));
|
||||
return data;
|
||||
}).collect(Collectors.toList());
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取向量查询路由
|
||||
*
|
||||
* @param knowIds
|
||||
* @param topNumber
|
||||
* @param similarity
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/20 21:03
|
||||
*/
|
||||
@Override
|
||||
public QueryRouter getQueryRouter(List<String> knowIds, Integer topNumber, Double similarity) {
|
||||
AssertUtils.assertNotEmpty("请选择知识库", knowIds);
|
||||
List<ContentRetriever> retrievers = Lists.newArrayList();
|
||||
for (String knowId : knowIds) {
|
||||
if (oConvertUtils.isEmpty(knowId)) {
|
||||
continue;
|
||||
}
|
||||
AiragKnowledge knowledge = airagKnowledgeMapper.getByIdIgnoreTenant(knowId);
|
||||
AssertUtils.assertNotEmpty("知识库不存在", knowledge);
|
||||
AiragModel model = getEmbedModelData(knowledge.getEmbedId());
|
||||
AiModelOptions modelOptions = buildModelOptions(model);
|
||||
EmbeddingModel embeddingModel = AiModelFactory.createEmbeddingModel(modelOptions);
|
||||
|
||||
EmbeddingStore<TextSegment> embeddingStore = getEmbedStore(model);
|
||||
topNumber = oConvertUtils.getInteger(topNumber, 5);
|
||||
similarity = oConvertUtils.getDou(similarity, 0.75);
|
||||
// 构建一个嵌入存储内容检索器，用于从嵌入存储中检索内容
|
||||
EmbeddingStoreContentRetriever contentRetriever = EmbeddingStoreContentRetriever.builder()
|
||||
.embeddingStore(embeddingStore)
|
||||
.embeddingModel(embeddingModel)
|
||||
.maxResults(topNumber)
|
||||
.minScore(similarity)
|
||||
.filter(metadataKey(EMBED_STORE_METADATA_KNOWLEDGEID).isEqualTo(knowId))
|
||||
.build();
|
||||
retrievers.add(contentRetriever);
|
||||
}
|
||||
if (retrievers.isEmpty()) {
|
||||
return null;
|
||||
} else {
|
||||
return new DefaultQueryRouter(retrievers);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 删除向量化文档
|
||||
*
|
||||
* @param knowId
|
||||
* @param modelId
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 19:07
|
||||
*/
|
||||
public void deleteEmbedDocsByKnowId(String knowId, String modelId) {
|
||||
AssertUtils.assertNotEmpty("选择知识库", knowId);
|
||||
AiragModel model = getEmbedModelData(modelId);
|
||||
|
||||
EmbeddingStore<TextSegment> embeddingStore = getEmbedStore(model);
|
||||
// 删除数据
|
||||
embeddingStore.removeAll(metadataKey(EMBED_STORE_METADATA_KNOWLEDGEID).isEqualTo(knowId));
|
||||
}
|
||||
|
||||
/**
|
||||
* 删除向量化文档
|
||||
*
|
||||
* @param docIds
|
||||
* @param modelId
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 19:07
|
||||
*/
|
||||
public void deleteEmbedDocsByDocIds(List<String> docIds, String modelId) {
|
||||
AssertUtils.assertNotEmpty("选择文档", docIds);
|
||||
AiragModel model = getEmbedModelData(modelId);
|
||||
|
||||
EmbeddingStore<TextSegment> embeddingStore = getEmbedStore(model);
|
||||
// 删除数据
|
||||
embeddingStore.removeAll(metadataKey(EMBED_STORE_METADATA_DOCID).isIn(docIds));
|
||||
}
|
||||
|
||||
/**
|
||||
* 查询向量模型数据
|
||||
*
|
||||
* @param modelId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/20 20:08
|
||||
*/
|
||||
private AiragModel getEmbedModelData(String modelId) {
|
||||
AssertUtils.assertNotEmpty("向量模型不能为空", modelId);
|
||||
AiragModel model = airagModelMapper.getByIdIgnoreTenant(modelId);
|
||||
AssertUtils.assertNotEmpty("向量模型不存在", model);
|
||||
AssertUtils.assertEquals("仅支持向量模型", LLMConsts.MODEL_TYPE_EMBED, model.getModelType());
|
||||
return model;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取向量存储
|
||||
*
|
||||
* @param model
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 14:56
|
||||
*/
|
||||
private EmbeddingStore<TextSegment> getEmbedStore(AiragModel model) {
|
||||
AssertUtils.assertNotEmpty("未配置模型", model);
|
||||
String modelId = model.getId();
|
||||
String connectionInfo = embedStoreConfigBean.getHost() + embedStoreConfigBean.getPort() + embedStoreConfigBean.getDatabase();
|
||||
String key = modelId + connectionInfo;
|
||||
if (EMBED_STORE_CACHE.containsKey(key)) {
|
||||
return EMBED_STORE_CACHE.get(key);
|
||||
}
|
||||
|
||||
|
||||
AiModelOptions modelOp = buildModelOptions(model);
|
||||
EmbeddingModel embeddingModel = AiModelFactory.createEmbeddingModel(modelOp);
|
||||
|
||||
String tableName = embedStoreConfigBean.getTable();
|
||||
|
||||
// update-begin---author:sunjianlei ---date:20250509 for：【QQYUN-12345】向量模型维度不一致问题
|
||||
// 如果该模型不是默认的向量维度
|
||||
int dimension = embeddingModel.dimension();
|
||||
if (!LLMConsts.EMBED_MODEL_DEFAULT_DIMENSION.equals(dimension)) {
|
||||
// 就加上维度后缀，防止因维度不一致导致保存失败
|
||||
tableName += ("_" + dimension);
|
||||
}
|
||||
// update-end-----author:sunjianlei ---date:20250509 for：【QQYUN-12345】向量模型维度不一致问题
|
||||
|
||||
EmbeddingStore<TextSegment> embeddingStore = PgVectorEmbeddingStore.builder()
|
||||
// Connection and table parameters
|
||||
.host(embedStoreConfigBean.getHost())
|
||||
.port(embedStoreConfigBean.getPort())
|
||||
.database(embedStoreConfigBean.getDatabase())
|
||||
.user(embedStoreConfigBean.getUser())
|
||||
.password(embedStoreConfigBean.getPassword())
|
||||
.table(tableName)
|
||||
// Embedding dimension
|
||||
// Required: Must match the embedding model’s output dimension
|
||||
.dimension(embeddingModel.dimension())
|
||||
// Indexing and performance options
|
||||
// Enable IVFFlat index
|
||||
.useIndex(true)
|
||||
// Number of lists
|
||||
// for IVFFlat index
|
||||
.indexListSize(100)
|
||||
// Table creation options
|
||||
// Automatically create the table if it doesn’t exist
|
||||
.createTable(true)
|
||||
//Don’t drop the table first (set to true if you want a fresh start)
|
||||
.dropTableFirst(false)
|
||||
.build();
|
||||
EMBED_STORE_CACHE.put(key, embeddingStore);
|
||||
return embeddingStore;
|
||||
}
|
||||
|
||||
/**
|
||||
* 构造ModelOptions
|
||||
*
|
||||
* @param model
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/11 17:45
|
||||
*/
|
||||
public static AiModelOptions buildModelOptions(AiragModel model) {
|
||||
AiModelOptions.AiModelOptionsBuilder modelOpBuilder = AiModelOptions.builder()
|
||||
.provider(model.getProvider())
|
||||
.modelName(model.getModelName())
|
||||
.baseUrl(model.getBaseUrl());
|
||||
if (oConvertUtils.isObjectNotEmpty(model.getCredential())) {
|
||||
JSONObject modelCredential = JSONObject.parseObject(model.getCredential());
|
||||
modelOpBuilder.apiKey(oConvertUtils.getString(modelCredential.getString("apiKey"), null));
|
||||
modelOpBuilder.secretKey(oConvertUtils.getString(modelCredential.getString("secretKey"), null));
|
||||
}
|
||||
modelOpBuilder.topNumber(5);
|
||||
modelOpBuilder.similarity(0.75);
|
||||
return modelOpBuilder.build();
|
||||
}
|
||||
|
||||
/**
|
||||
* 解析文件
|
||||
*
|
||||
* @param doc
|
||||
* @author chenrui
|
||||
* @date 2025/3/5 11:31
|
||||
*/
|
||||
private String parseFile(AiragKnowledgeDoc doc) {
|
||||
String metadata = doc.getMetadata();
|
||||
AssertUtils.assertNotEmpty("请先上传文件", metadata);
|
||||
JSONObject metadataJson = JSONObject.parseObject(metadata);
|
||||
if (!metadataJson.containsKey(LLMConsts.KNOWLEDGE_DOC_METADATA_FILEPATH)) {
|
||||
throw new JeecgBootException("请先上传文件");
|
||||
}
|
||||
String filePath = metadataJson.getString(LLMConsts.KNOWLEDGE_DOC_METADATA_FILEPATH);
|
||||
AssertUtils.assertNotEmpty("请先上传文件", filePath);
|
||||
// 网络资源,先下载到临时目录
|
||||
filePath = ensureFile(filePath);
|
||||
// 提取文档内容
|
||||
File docFile = new File(filePath);
|
||||
if (docFile.exists()) {
|
||||
Document document = new TikaDocumentParser(AutoDetectParser::new, null, null, null).parse(docFile);
|
||||
if (null != document) {
|
||||
String content = document.text();
|
||||
// 判断是否md文档
|
||||
String fileType = FilenameUtils.getExtension(docFile.getName());
|
||||
if ("md".contains(fileType)) {
|
||||
// 如果是md文件，查找所有图片语法，如果是本地图片，替换成网络图片
|
||||
String baseUrl = "#{domainURL}/sys/common/static/";
|
||||
String sourcePath = metadataJson.getString(LLMConsts.KNOWLEDGE_DOC_METADATA_SOURCES_PATH);
|
||||
if(oConvertUtils.isNotEmpty(sourcePath)) {
|
||||
String escapedPath = uploadpath;
|
||||
//update-begin---author:wangshuai---date:2025-06-03---for:【QQYUN-12636】【AI知识库】文档库上传 本地local 文档中的图片不展示---
|
||||
/*if (File.separator.equals("\\")){
|
||||
escapedPath = uploadpath.replace("//", "\\\\");
|
||||
}*/
|
||||
//update-end---author:wangshuai---date:2025-06-03---for:【QQYUN-12636】【AI知识库】文档库上传 本地local 文档中的图片不展示---
|
||||
sourcePath = sourcePath.replaceFirst("^" + escapedPath, "").replace("\\", "/");
|
||||
String docFilePath = metadataJson.getString(LLMConsts.KNOWLEDGE_DOC_METADATA_FILEPATH);
|
||||
docFilePath = FilenameUtils.getPath(docFilePath);
|
||||
docFilePath = docFilePath.replace("\\", "/");
|
||||
StringBuffer sb = replaceImageUrl(content, baseUrl + sourcePath + "/", baseUrl + docFilePath);
|
||||
content = sb.toString();
|
||||
}
|
||||
}
|
||||
return content;
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
@NotNull
|
||||
private static StringBuffer replaceImageUrl(String content, String abstractBaseUrl, String relativeBaseUrl) {
|
||||
// 正则表达式匹配md文件中的图片语法 
|
||||
Matcher matcher = PATTERN_MD_IMAGE.matcher(content);
|
||||
|
||||
StringBuffer sb = new StringBuffer();
|
||||
while (matcher.find()) {
|
||||
String imageUrl = matcher.group(2);
|
||||
// 检查是否是本地图片路径
|
||||
if (!imageUrl.startsWith("http")) {
|
||||
// 替换成网络图片路径
|
||||
String networkImageUrl = abstractBaseUrl + imageUrl;
|
||||
if(imageUrl.startsWith("/")) {
|
||||
// 绝对路径
|
||||
networkImageUrl = abstractBaseUrl + imageUrl;
|
||||
}else{
|
||||
// 相对路径
|
||||
networkImageUrl = relativeBaseUrl + imageUrl;
|
||||
}
|
||||
// 修改图片路径中//->/，但保留http://和https://
|
||||
networkImageUrl = networkImageUrl.replaceAll("(?<!http:)(?<!https:)//", "/");
|
||||
matcher.appendReplacement(sb, "![" + matcher.group(1) + "](" + networkImageUrl + ")");
|
||||
} else {
|
||||
matcher.appendReplacement(sb, "![" + matcher.group(1) + "](" + imageUrl + ")");
|
||||
}
|
||||
}
|
||||
matcher.appendTail(sb);
|
||||
return sb;
|
||||
}
|
||||
|
||||
/**
|
||||
* 通过MinerU解析文件
|
||||
*
|
||||
* @param doc
|
||||
* @author chenrui
|
||||
* @date 2025/4/1 17:37
|
||||
*/
|
||||
private void parseFileByMinerU(AiragKnowledgeDoc doc) {
|
||||
String metadata = doc.getMetadata();
|
||||
AssertUtils.assertNotEmpty("请先上传文件", metadata);
|
||||
JSONObject metadataJson = JSONObject.parseObject(metadata);
|
||||
if (!metadataJson.containsKey(LLMConsts.KNOWLEDGE_DOC_METADATA_FILEPATH)) {
|
||||
throw new JeecgBootException("请先上传文件");
|
||||
}
|
||||
String filePath = metadataJson.getString(LLMConsts.KNOWLEDGE_DOC_METADATA_FILEPATH);
|
||||
AssertUtils.assertNotEmpty("请先上传文件", filePath);
|
||||
filePath = ensureFile(filePath);
|
||||
|
||||
File docFile = new File(filePath);
|
||||
String fileType = FilenameUtils.getExtension(filePath);
|
||||
if (!docFile.exists()
|
||||
|| "txt".equalsIgnoreCase(fileType)
|
||||
|| "md".equalsIgnoreCase(fileType)) {
|
||||
return ;
|
||||
}
|
||||
|
||||
String command = "magic-pdf";
|
||||
if (oConvertUtils.isNotEmpty(knowConfigBean.getCondaEnv())) {
|
||||
command = "conda run -n " + knowConfigBean.getCondaEnv() + " " + command;
|
||||
}
|
||||
|
||||
String outputPath = docFile.getParentFile().getAbsolutePath();
|
||||
String[] args = {
|
||||
"-p", docFile.getAbsolutePath(),
|
||||
"-o", outputPath,
|
||||
};
|
||||
|
||||
try {
|
||||
String execLog = CommandExecUtil.execCommand(command, args);
|
||||
log.info("执行命令行:" + command + " args:" + Arrays.toString(args) + "\n log::" + execLog);
|
||||
// 如果成功,替换文件路径和静态资源路径
|
||||
String fileBaseName = FilenameUtils.getBaseName(docFile.getName());
|
||||
String newFileDir = outputPath + File.separator + fileBaseName + File.separator + "auto" + File.separator ;
|
||||
// 先检查文件是否存在,存在才替换
|
||||
File convertedFile = new File(newFileDir + fileBaseName + ".md");
|
||||
if (convertedFile.exists()) {
|
||||
log.info("文件转换成md成功,替换文件路径和静态资源路径");
|
||||
newFileDir = newFileDir.replaceFirst("^" + uploadpath, "");
|
||||
metadataJson.put(LLMConsts.KNOWLEDGE_DOC_METADATA_FILEPATH, newFileDir + fileBaseName + ".md");
|
||||
metadataJson.put(LLMConsts.KNOWLEDGE_DOC_METADATA_SOURCES_PATH, newFileDir);
|
||||
doc.setMetadata(metadataJson.toJSONString());
|
||||
}
|
||||
} catch (IOException e) {
|
||||
log.error("文件转换md失败,使用传统提取方案{}", e.getMessage(), e);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 确保文件存在
|
||||
* @param filePath
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/4/1 17:36
|
||||
*/
|
||||
@NotNull
|
||||
private String ensureFile(String filePath) {
|
||||
// 网络资源,先下载到临时目录
|
||||
Matcher matcher = LLMConsts.WEB_PATTERN.matcher(filePath);
|
||||
if (matcher.matches()) {
|
||||
log.info("网络资源,下载到临时目录:" + filePath);
|
||||
// 准备文件
|
||||
String tempFilePath = uploadpath + File.separator + "tmp" + File.separator + UUIDGenerator.generate() + File.separator;
|
||||
String fileName = filePath;
|
||||
if (fileName.contains("?")) {
|
||||
fileName = fileName.substring(0, fileName.indexOf("?"));
|
||||
}
|
||||
fileName = FilenameUtils.getName(fileName);
|
||||
tempFilePath = tempFilePath + fileName;
|
||||
FileDownloadUtils.download2DiskFromNet(filePath, tempFilePath);
|
||||
filePath = tempFilePath;
|
||||
} else {
|
||||
//本地文件
|
||||
filePath = uploadpath + File.separator + filePath;
|
||||
}
|
||||
return filePath;
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
+23
@@ -0,0 +1,23 @@
|
||||
package org.jeecg.modules.airag.llm.mapper;
|
||||
|
||||
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
|
||||
import org.apache.ibatis.annotations.Param;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragKnowledgeDoc;
|
||||
|
||||
/**
|
||||
* @Description: airag知识库文档
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-18
|
||||
* @Version: V1.0
|
||||
*/
|
||||
public interface AiragKnowledgeDocMapper extends BaseMapper<AiragKnowledgeDoc> {
|
||||
|
||||
/**
|
||||
* 通过主表id删除子表数据
|
||||
*
|
||||
* @param mainId 主表id
|
||||
* @return boolean
|
||||
*/
|
||||
public boolean deleteByMainId(@Param("mainId") String mainId);
|
||||
|
||||
}
|
||||
+25
@@ -0,0 +1,25 @@
|
||||
package org.jeecg.modules.airag.llm.mapper;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.InterceptorIgnore;
|
||||
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragKnowledge;
|
||||
|
||||
/**
|
||||
* @Description: AIRag知识库
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-18
|
||||
* @Version: V1.0
|
||||
*/
|
||||
public interface AiragKnowledgeMapper extends BaseMapper<AiragKnowledge> {
|
||||
|
||||
/**
|
||||
* 根据ID查询知识库信息(忽略租户)
|
||||
* for [QQYUN-12113]分享之后的聊天，应用、模型、知识库不根据租户查询
|
||||
* @param id
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/4/21 15:24
|
||||
*/
|
||||
@InterceptorIgnore(tenantLine = "true")
|
||||
AiragKnowledge getByIdIgnoreTenant(String id);
|
||||
}
|
||||
+25
@@ -0,0 +1,25 @@
|
||||
package org.jeecg.modules.airag.llm.mapper;
|
||||
|
||||
import com.baomidou.mybatisplus.annotation.InterceptorIgnore;
|
||||
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragModel;
|
||||
|
||||
/**
|
||||
* @Description: AiRag模型配置
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-14
|
||||
* @Version: V1.0
|
||||
*/
|
||||
public interface AiragModelMapper extends BaseMapper<AiragModel> {
|
||||
|
||||
/**
|
||||
* 根据ID查询模型信息(忽略租户)
|
||||
* for [QQYUN-12113]分享之后的聊天，应用、模型、知识库不根据租户查询
|
||||
* @param id
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/4/21 15:24
|
||||
*/
|
||||
@InterceptorIgnore(tenantLine = "true")
|
||||
AiragModel getByIdIgnoreTenant(String id);
|
||||
}
|
||||
+11
@@ -0,0 +1,11 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
|
||||
<mapper namespace="org.jeecg.modules.airag.llm.mapper.AiragKnowledgeDocMapper">
|
||||
|
||||
<delete id="deleteByMainId" parameterType="java.lang.String">
|
||||
DELETE
|
||||
FROM airag_knowledge_doc
|
||||
WHERE knowledge_id = #{mainId}
|
||||
</delete>
|
||||
|
||||
</mapper>
|
||||
+9
@@ -0,0 +1,9 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
|
||||
<mapper namespace="org.jeecg.modules.airag.llm.mapper.AiragKnowledgeMapper">
|
||||
|
||||
<select id="getByIdIgnoreTenant" resultType="org.jeecg.modules.airag.llm.entity.AiragKnowledge">
|
||||
SELECT * FROM airag_knowledge WHERE id = #{id}
|
||||
</select>
|
||||
|
||||
</mapper>
|
||||
+9
@@ -0,0 +1,9 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
|
||||
<mapper namespace="org.jeecg.modules.airag.llm.mapper.AiragModelMapper">
|
||||
|
||||
<select id="getByIdIgnoreTenant" resultType="org.jeecg.modules.airag.llm.entity.AiragModel">
|
||||
SELECT * FROM airag_model WHERE id = #{id}
|
||||
</select>
|
||||
|
||||
</mapper>
|
||||
+87
@@ -0,0 +1,87 @@
|
||||
package org.jeecg.modules.airag.llm.service;
|
||||
|
||||
import com.baomidou.mybatisplus.extension.service.IService;
|
||||
import org.jeecg.common.api.vo.Result;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragKnowledgeDoc;
|
||||
import org.springframework.web.multipart.MultipartFile;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* airag知识库文档
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-18
|
||||
* @Version: V1.0
|
||||
*/
|
||||
public interface IAiragKnowledgeDocService extends IService<AiragKnowledgeDoc> {
|
||||
|
||||
/**
|
||||
* 重建文档
|
||||
*
|
||||
* @param docIds
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 11:14
|
||||
*/
|
||||
Result<?> rebuildDocument(String docIds);
|
||||
|
||||
/**
|
||||
* 添加文档
|
||||
*
|
||||
* @param airagKnowledgeDoc
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 15:30
|
||||
*/
|
||||
Result<?> editDocument(AiragKnowledgeDoc airagKnowledgeDoc);
|
||||
|
||||
|
||||
/**
|
||||
* 通过知识库id重建文档
|
||||
*
|
||||
* @param knowId
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 18:54
|
||||
*/
|
||||
Result<?> rebuildDocumentByKnowId(String knowId);
|
||||
|
||||
|
||||
/**
|
||||
* 通过知识库id删除文档
|
||||
*
|
||||
* @param knowIds
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 18:59
|
||||
*/
|
||||
Result<?> removeByKnowIds(List<String> knowIds);
|
||||
|
||||
/**
|
||||
* 通过文档id批量删除文档
|
||||
*
|
||||
* @param docIds
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/2/18 19:16
|
||||
*/
|
||||
Result<?> removeDocByIds(List<String> docIds);
|
||||
|
||||
/**
|
||||
* 通过知识库id删除所以文档
|
||||
*
|
||||
* @param knowId
|
||||
* @return
|
||||
*/
|
||||
Result<?> deleteAllByKnowId(String knowId);
|
||||
|
||||
/**
|
||||
* 从zip包导入文档
|
||||
* @param knowId
|
||||
* @param file
|
||||
* @return
|
||||
* @author chenrui
|
||||
* @date 2025/3/20 13:50
|
||||
*/
|
||||
Result<?> importDocumentFromZip(String knowId, MultipartFile file);
|
||||
}
|
||||
+14
@@ -0,0 +1,14 @@
|
||||
package org.jeecg.modules.airag.llm.service;
|
||||
|
||||
import com.baomidou.mybatisplus.extension.service.IService;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragKnowledge;
|
||||
|
||||
/**
|
||||
* AIRag知识库
|
||||
*
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-18
|
||||
* @Version: V1.0
|
||||
*/
|
||||
public interface IAiragKnowledgeService extends IService<AiragKnowledge> {
|
||||
}
|
||||
+17
@@ -0,0 +1,17 @@
|
||||
package org.jeecg.modules.airag.llm.service;
|
||||
|
||||
import com.baomidou.mybatisplus.extension.service.IService;
|
||||
import dev.langchain4j.data.message.ChatMessage;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragModel;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* @Description: AiRag模型配置
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-14
|
||||
* @Version: V1.0
|
||||
*/
|
||||
public interface IAiragModelService extends IService<AiragModel> {
|
||||
|
||||
}
|
||||
+470
@@ -0,0 +1,470 @@
|
||||
package org.jeecg.modules.airag.llm.service.impl;
|
||||
|
||||
import com.alibaba.fastjson.JSONObject;
|
||||
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
|
||||
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
|
||||
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.apache.commons.compress.archivers.zip.ZipArchiveEntry;
|
||||
import org.apache.commons.compress.archivers.zip.ZipFile;
|
||||
import org.apache.commons.io.FilenameUtils;
|
||||
import org.jeecg.common.api.vo.Result;
|
||||
import org.jeecg.common.config.TenantContext;
|
||||
import org.jeecg.common.config.mqtoken.UserTokenContext;
|
||||
import org.jeecg.common.exception.JeecgBootException;
|
||||
import org.jeecg.common.util.*;
|
||||
import org.jeecg.common.util.filter.SsrfFileTypeFilter;
|
||||
import org.jeecg.modules.airag.llm.consts.LLMConsts;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragKnowledge;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragKnowledgeDoc;
|
||||
import org.jeecg.modules.airag.llm.handler.EmbeddingHandler;
|
||||
import org.jeecg.modules.airag.llm.mapper.AiragKnowledgeDocMapper;
|
||||
import org.jeecg.modules.airag.llm.mapper.AiragKnowledgeMapper;
|
||||
import org.jeecg.modules.airag.llm.service.IAiragKnowledgeDocService;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.beans.factory.annotation.Value;
|
||||
import org.springframework.stereotype.Service;
|
||||
import org.springframework.transaction.annotation.Transactional;
|
||||
import org.springframework.web.multipart.MultipartFile;
|
||||
|
||||
import javax.servlet.http.HttpServletRequest;
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
import java.io.InputStream;
|
||||
import java.io.OutputStream;
|
||||
import java.nio.file.Files;
|
||||
import java.nio.file.Path;
|
||||
import java.nio.file.Paths;
|
||||
import java.util.*;
|
||||
import java.util.concurrent.CompletableFuture;
|
||||
import java.util.concurrent.ExecutorService;
|
||||
import java.util.concurrent.Executors;
|
||||
import java.util.concurrent.atomic.AtomicInteger;
|
||||
import java.util.function.Consumer;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import static org.jeecg.modules.airag.llm.consts.LLMConsts.*;
|
||||
|
||||
/**
|
||||
* @Description: airag知识库文档
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-18
|
||||
* @Version: V1.0
|
||||
*/
|
||||
@Slf4j
|
||||
@Service
|
||||
public class AiragKnowledgeDocServiceImpl extends ServiceImpl<AiragKnowledgeDocMapper, AiragKnowledgeDoc> implements IAiragKnowledgeDocService {
|
||||
|
||||
@Autowired
|
||||
private AiragKnowledgeDocMapper airagKnowledgeDocMapper;
|
||||
|
||||
@Autowired
|
||||
private AiragKnowledgeMapper airagKnowledgeMapper;
|
||||
|
||||
@Autowired
|
||||
EmbeddingHandler embeddingHandler;
|
||||
|
||||
|
||||
@Value(value = "${jeecg.path.upload:}")
|
||||
private String uploadpath;
|
||||
|
||||
/**
|
||||
* 支持的文档类型
|
||||
*/
|
||||
private static final List<String> SUPPORT_DOC_TYPE = Arrays.asList("txt", "pdf", "docx", "doc", "pptx", "ppt", "xlsx", "xls", "md");
|
||||
|
||||
/**
|
||||
* 向量化线程池大小
|
||||
*/
|
||||
private static final int THREAD_POOL_SIZE = 10;
|
||||
|
||||
/**
|
||||
* 向量化文档线程池
|
||||
*/
|
||||
private static final ExecutorService buildDocExecutorService = Executors.newFixedThreadPool(THREAD_POOL_SIZE);
|
||||
|
||||
// 解压文件:单个文件最大150MB
|
||||
private static final long MAX_FILE_SIZE = 150 * 1024 * 1024;
|
||||
// 解压文件:总解压大小1024MB
|
||||
private static final long MAX_TOTAL_SIZE = 1024 * 1024 * 1024;
|
||||
// 解压文件:最多解压10000个Entry
|
||||
private static final int MAX_ENTRY_COUNT = 10000;
|
||||
|
||||
@Transactional(rollbackFor = {Exception.class})
|
||||
@Override
|
||||
public Result<?> editDocument(AiragKnowledgeDoc airagKnowledgeDoc) {
|
||||
AssertUtils.assertNotEmpty("文档不能未空", airagKnowledgeDoc);
|
||||
AssertUtils.assertNotEmpty("知识库不能未空", airagKnowledgeDoc.getKnowledgeId());
|
||||
AssertUtils.assertNotEmpty("文档标题不能未空", airagKnowledgeDoc.getTitle());
|
||||
AssertUtils.assertNotEmpty("文档类型不能未空", airagKnowledgeDoc.getType());
|
||||
if (KNOWLEDGE_DOC_TYPE_TEXT.equals(airagKnowledgeDoc.getType())) {
|
||||
AssertUtils.assertNotEmpty("文档内容不能为空", airagKnowledgeDoc.getContent());
|
||||
}
|
||||
|
||||
airagKnowledgeDoc.setStatus(KNOWLEDGE_DOC_STATUS_DRAFT);
|
||||
// 保存到数据库
|
||||
if (this.saveOrUpdate(airagKnowledgeDoc)) {
|
||||
// 重建向量
|
||||
return this.rebuildDocument(airagKnowledgeDoc.getId());
|
||||
} else {
|
||||
return Result.error("保存失败");
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public Result<?> rebuildDocumentByKnowId(String knowId) {
|
||||
AssertUtils.assertNotEmpty("知识库id不能为空", knowId);
|
||||
List<AiragKnowledgeDoc> docList = airagKnowledgeDocMapper.selectList(Wrappers.lambdaQuery(AiragKnowledgeDoc.class).eq(AiragKnowledgeDoc::getKnowledgeId, knowId));
|
||||
if (oConvertUtils.isObjectEmpty(docList)) {
|
||||
return Result.OK();
|
||||
}
|
||||
String docIds = docList.stream().map(AiragKnowledgeDoc::getId).collect(Collectors.joining(","));
|
||||
return rebuildDocument(docIds);
|
||||
}
|
||||
|
||||
@Transactional(rollbackFor = {java.lang.Exception.class})
|
||||
@Override
|
||||
public Result<?> rebuildDocument(String docIds) {
|
||||
AssertUtils.assertNotEmpty("请选择要重建的文档", docIds);
|
||||
List<String> docIdList = Arrays.asList(docIds.split(","));
|
||||
// 查询数据
|
||||
List<AiragKnowledgeDoc> docList = airagKnowledgeDocMapper.selectBatchIds(docIdList);
|
||||
AssertUtils.assertNotEmpty("文档不存在", docList);
|
||||
|
||||
HttpServletRequest request = SpringContextUtils.getHttpServletRequest();
|
||||
// 检查状态
|
||||
List<AiragKnowledgeDoc> knowledgeDocs = docList.stream()
|
||||
.filter(doc -> {
|
||||
//update-begin---author:chenrui ---date:20250410 for：[QQYUN-11943]【ai】ai知识库 上传完文档 一直显示构建中？------------
|
||||
if(KNOWLEDGE_DOC_STATUS_BUILDING.equalsIgnoreCase(doc.getStatus())){
|
||||
Date updateTime = doc.getUpdateTime();
|
||||
if (updateTime != null) {
|
||||
// 向量化超过了5分钟,重新向量化
|
||||
long timeDifference = System.currentTimeMillis() - updateTime.getTime();
|
||||
return timeDifference > 5 * 60 * 1000;
|
||||
}else{
|
||||
return true;
|
||||
}
|
||||
} else {
|
||||
return true;
|
||||
}
|
||||
//update-end---author:chenrui ---date:20250410 for：[QQYUN-11943]【ai】ai知识库 上传完文档 一直显示构建中？------------
|
||||
})
|
||||
.peek(doc -> {
|
||||
doc.setStatus(KNOWLEDGE_DOC_STATUS_BUILDING);
|
||||
})
|
||||
.collect(Collectors.toList());
|
||||
if (oConvertUtils.isObjectEmpty(knowledgeDocs)) {
|
||||
return Result.ok("操作成功");
|
||||
}
|
||||
if (oConvertUtils.isObjectEmpty(knowledgeDocs)) {
|
||||
return Result.ok("操作成功");
|
||||
}
|
||||
// 更新状态
|
||||
this.updateBatchById(knowledgeDocs);
|
||||
// 异步重建文档
|
||||
String tenantId = TenantContext.getTenant();
|
||||
String token = TokenUtils.getTokenByRequest();
|
||||
knowledgeDocs.forEach((doc) -> {
|
||||
CompletableFuture.runAsync(() -> {
|
||||
UserTokenContext.setToken(token);
|
||||
TenantContext.setTenant(tenantId);
|
||||
String knowId = doc.getKnowledgeId();
|
||||
log.info("开始重建文档, 知识库id: {}, 文档id: {}", knowId, doc.getId());
|
||||
doc.setStatus(KNOWLEDGE_DOC_STATUS_BUILDING);
|
||||
this.updateById(doc);
|
||||
//update-begin---author:chenrui ---date:20250410 for：[QQYUN-11943]【ai】ai知识库 上传完文档 一直显示构建中？------------
|
||||
try {
|
||||
Map<String, Object> metadata = embeddingHandler.embeddingDocument(knowId, doc);
|
||||
// 更新数据 date:2025/2/18
|
||||
if (null != metadata) {
|
||||
doc.setStatus(KNOWLEDGE_DOC_STATUS_COMPLETE);
|
||||
this.updateById(doc);
|
||||
log.info("重建文档成功, 知识库id: {}, 文档id: {}", knowId, doc.getId());
|
||||
} else {
|
||||
this.handleDocBuildFailed(doc, "向量化失败");
|
||||
log.info("重建文档失败, 知识库id: {}, 文档id: {}", knowId, doc.getId());
|
||||
}
|
||||
}catch (Throwable t){
|
||||
this.handleDocBuildFailed(doc, t.getMessage());
|
||||
log.error("重建文档失败:" + t.getMessage() + ", 知识库id: " + knowId + ", 文档id: " + doc.getId(), t);
|
||||
}
|
||||
//update-end---author:chenrui ---date:20250410 for：[QQYUN-11943]【ai】ai知识库 上传完文档 一直显示构建中？------------
|
||||
}, buildDocExecutorService);
|
||||
});
|
||||
log.info("返回操作成功");
|
||||
return Result.ok("操作成功");
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理文档构建失败
|
||||
*/
|
||||
private void handleDocBuildFailed(AiragKnowledgeDoc doc, String failedReason) {
|
||||
doc.setStatus(KNOWLEDGE_DOC_STATUS_FAILED);
|
||||
|
||||
String metadataStr = doc.getMetadata();
|
||||
JSONObject metadata;
|
||||
if (oConvertUtils.isEmpty(metadataStr)) {
|
||||
metadata = new JSONObject();
|
||||
} else {
|
||||
metadata = JSONObject.parseObject(metadataStr);
|
||||
}
|
||||
metadata.put("failedReason", failedReason);
|
||||
doc.setMetadata(metadata.toJSONString());
|
||||
|
||||
this.updateById(doc);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Result<?> removeByKnowIds(List<String> knowIds) {
|
||||
AssertUtils.assertNotEmpty("选择知识库", knowIds);
|
||||
for (String knowId : knowIds) {
|
||||
AiragKnowledge airagKnowledge = airagKnowledgeMapper.selectById(knowId);
|
||||
AssertUtils.assertNotEmpty("知识库不存在", airagKnowledge);
|
||||
AssertUtils.assertNotEmpty("请先为知识库配置向量模型库", airagKnowledge.getEmbedId());
|
||||
// 异步删除向量数据
|
||||
final String embedId = airagKnowledge.getEmbedId();
|
||||
final String finalKnowId = knowId;
|
||||
CompletableFuture.runAsync(() -> {
|
||||
try {
|
||||
embeddingHandler.deleteEmbedDocsByKnowId(finalKnowId, embedId);
|
||||
} catch (Throwable ignore) {
|
||||
}
|
||||
});
|
||||
// 删除数据
|
||||
airagKnowledgeDocMapper.deleteByMainId(knowId);
|
||||
}
|
||||
return Result.OK();
|
||||
}
|
||||
|
||||
@Override
|
||||
public Result<?> removeDocByIds(List<String> docIds) {
|
||||
AssertUtils.assertNotEmpty("请选择要删除的文档", docIds);
|
||||
// 查询数据
|
||||
List<AiragKnowledgeDoc> docList = airagKnowledgeDocMapper.selectBatchIds(docIds);
|
||||
AssertUtils.assertNotEmpty("文档不存在", docList);
|
||||
// 整理数据
|
||||
Map<String, List<String>> knowledgeDocs = docList.stream().collect(Collectors.groupingBy(
|
||||
AiragKnowledgeDoc::getKnowledgeId,
|
||||
Collectors.mapping(AiragKnowledgeDoc::getId, Collectors.toList())
|
||||
));
|
||||
if (oConvertUtils.isObjectEmpty(knowledgeDocs)) {
|
||||
return Result.ok("success");
|
||||
}
|
||||
knowledgeDocs.forEach((knowId, groupedDocIds) -> {
|
||||
AiragKnowledge airagKnowledge = airagKnowledgeMapper.selectById(knowId);
|
||||
AssertUtils.assertNotEmpty("知识库不存在", airagKnowledge);
|
||||
AssertUtils.assertNotEmpty("请先为知识库配置向量模型库", airagKnowledge.getEmbedId());
|
||||
// 异步删除向量数据
|
||||
final String embedId = airagKnowledge.getEmbedId();
|
||||
final List<String> docIdsToDelete = new ArrayList<>(groupedDocIds);
|
||||
CompletableFuture.runAsync(() -> {
|
||||
try {
|
||||
embeddingHandler.deleteEmbedDocsByDocIds(docIdsToDelete, embedId);
|
||||
} catch (Throwable ignore) {
|
||||
}
|
||||
});
|
||||
// 删除数据
|
||||
airagKnowledgeDocMapper.deleteBatchIds(groupedDocIds);
|
||||
});
|
||||
return Result.ok("success");
|
||||
}
|
||||
|
||||
@Override
|
||||
public Result<?> deleteAllByKnowId(String knowId) {
|
||||
if (oConvertUtils.isEmpty(knowId)) {
|
||||
return Result.error("知识库id不能为空");
|
||||
}
|
||||
LambdaQueryWrapper<AiragKnowledgeDoc> wrapper = new LambdaQueryWrapper<>();
|
||||
wrapper.eq(AiragKnowledgeDoc::getKnowledgeId, knowId);
|
||||
//noinspection unchecked
|
||||
wrapper.select(AiragKnowledgeDoc::getId);
|
||||
List<AiragKnowledgeDoc> docList = airagKnowledgeDocMapper.selectList(wrapper);
|
||||
if (docList.isEmpty()) {
|
||||
return Result.ok("暂无文档");
|
||||
}
|
||||
List<String> docIds = docList.stream().map(AiragKnowledgeDoc::getId).collect(Collectors.toList());
|
||||
this.removeDocByIds(docIds);
|
||||
return Result.ok("清空完成");
|
||||
}
|
||||
|
||||
@Transactional(rollbackFor = {java.lang.Exception.class})
|
||||
@Override
|
||||
public Result<?> importDocumentFromZip(String knowId, MultipartFile zipFile) {
|
||||
AssertUtils.assertNotEmpty("请先选择知识库", knowId);
|
||||
AssertUtils.assertNotEmpty("请上传文件", zipFile);
|
||||
long startTime = System.currentTimeMillis();
|
||||
log.info("开始上传知识库文档(zip), 知识库id: {}, 文件名: {}", knowId, zipFile.getOriginalFilename());
|
||||
|
||||
try {
|
||||
String bizPath = knowId + File.separator + UUIDGenerator.generate();
|
||||
String workDir = uploadpath + File.separator + bizPath + File.separator;
|
||||
String sourcesPath = workDir + "files";
|
||||
|
||||
SsrfFileTypeFilter.checkUploadFileType(zipFile);
|
||||
// 通过filePath 检查文件是不是压缩包(zip)
|
||||
String zipFileName = FilenameUtils.getBaseName(zipFile.getOriginalFilename());
|
||||
String fileExt = FilenameUtils.getExtension(zipFile.getOriginalFilename());
|
||||
if (null == fileExt || !fileExt.equalsIgnoreCase("zip")) {
|
||||
throw new JeecgBootException("请上传zip压缩包");
|
||||
}
|
||||
String uploadedZipPath = CommonUtils.uploadLocal(zipFile, bizPath, uploadpath);
|
||||
// 解压缩文件
|
||||
List<AiragKnowledgeDoc> docList = new ArrayList<>();
|
||||
AtomicInteger fileCount = new AtomicInteger(0);
|
||||
unzipFile(uploadpath + File.separator + uploadedZipPath, sourcesPath, uploadedFile -> {
|
||||
// 仅支持txt、pdf、docx、pptx、html、md文件
|
||||
String fileName = uploadedFile.getName();
|
||||
if (!SUPPORT_DOC_TYPE.contains(FilenameUtils.getExtension(fileName).toLowerCase())) {
|
||||
log.warn("不支持的文件类型: {}", fileName);
|
||||
return;
|
||||
}
|
||||
String baseName = FilenameUtils.getBaseName(fileName);
|
||||
AiragKnowledgeDoc doc = new AiragKnowledgeDoc();
|
||||
doc.setKnowledgeId(knowId);
|
||||
doc.setTitle(baseName);
|
||||
doc.setType(LLMConsts.KNOWLEDGE_DOC_TYPE_FILE);
|
||||
doc.setStatus(LLMConsts.KNOWLEDGE_DOC_STATUS_DRAFT);
|
||||
|
||||
String relativePath;
|
||||
if (File.separator.equals("\\")) {
|
||||
// Windows path handling
|
||||
String escapedPath = uploadpath.replace("//", "\\\\");
|
||||
relativePath = uploadedFile.getPath().replaceFirst("^" + escapedPath, "");
|
||||
} else {
|
||||
// Unix path handling
|
||||
relativePath = uploadedFile.getPath().replaceFirst("^" + uploadpath, "");
|
||||
}
|
||||
JSONObject metadata = new JSONObject();
|
||||
metadata.put(LLMConsts.KNOWLEDGE_DOC_METADATA_FILEPATH, relativePath);
|
||||
metadata.put(LLMConsts.KNOWLEDGE_DOC_METADATA_SOURCES_PATH, sourcesPath);
|
||||
doc.setMetadata(metadata.toJSONString());
|
||||
docList.add(doc);
|
||||
});
|
||||
AssertUtils.assertNotEmpty("压缩包中没有符合要求的文档", docList);
|
||||
// 保存数据
|
||||
this.saveBatch(docList);
|
||||
// 重建文档
|
||||
String docIds = docList.stream().map(AiragKnowledgeDoc::getId).filter(oConvertUtils::isObjectNotEmpty).collect(Collectors.joining(","));
|
||||
rebuildDocument(docIds);
|
||||
} catch (Exception e) {
|
||||
log.error(e.getMessage(), e);
|
||||
throw new RuntimeException(e);
|
||||
}
|
||||
log.info("上传知识库文档(zip)成功, 知识库id: {}, 文件名: {}, 耗时: {}ms", knowId, zipFile.getOriginalFilename(), (System.currentTimeMillis() - startTime));
|
||||
return Result.ok("上传成功");
|
||||
}
|
||||
|
||||
/**
|
||||
* 解压缩文件
|
||||
*
|
||||
* @param zipFilePath 压缩文件路径
|
||||
* @param destDir 目标文件夹
|
||||
* @param afterExtract 解压完成后回调
|
||||
* @throws IOException
|
||||
* @author chenrui
|
||||
* @date 2025/3/20 14:37
|
||||
*/
|
||||
public static void unzipFile(String zipFilePath, String destDir, Consumer<File> afterExtract) throws IOException {
|
||||
unzipFile(Paths.get(zipFilePath), Paths.get(destDir), afterExtract);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 解压缩文件
|
||||
*
|
||||
* @param zipFilePath 压缩文件路径
|
||||
* @param targetDir 目标文件夹
|
||||
* @param afterExtract 解压完成后回调
|
||||
* @throws IOException
|
||||
* @author chenrui
|
||||
* @date 2025/4/28 17:02
|
||||
*/
|
||||
private static void unzipFile(Path zipFilePath, Path targetDir, Consumer<File> afterExtract) throws IOException {
|
||||
long totalUnzippedSize = 0;
|
||||
int entryCount = 0;
|
||||
|
||||
if (!Files.exists(targetDir)) {
|
||||
Files.createDirectories(targetDir);
|
||||
}
|
||||
|
||||
try (ZipFile zipFile = new ZipFile(zipFilePath.toFile())) {
|
||||
Enumeration<ZipArchiveEntry> entries = zipFile.getEntries();
|
||||
|
||||
while (entries.hasMoreElements()) {
|
||||
ZipArchiveEntry entry = entries.nextElement();
|
||||
entryCount++;
|
||||
if (entryCount > MAX_ENTRY_COUNT) {
|
||||
throw new IOException("解压文件数量超限，可能是zip bomb攻击");
|
||||
}
|
||||
|
||||
Path newPath = safeResolve(targetDir, entry.getName());
|
||||
|
||||
if (entry.isDirectory()) {
|
||||
Files.createDirectories(newPath);
|
||||
} else {
|
||||
Files.createDirectories(newPath.getParent());
|
||||
try (InputStream is = zipFile.getInputStream(entry);
|
||||
OutputStream os = Files.newOutputStream(newPath)) {
|
||||
|
||||
long bytesCopied = copyLimited(is, os, MAX_FILE_SIZE);
|
||||
totalUnzippedSize += bytesCopied;
|
||||
|
||||
if (totalUnzippedSize > MAX_TOTAL_SIZE) {
|
||||
throw new IOException("解压总大小超限，可能是zip bomb攻击");
|
||||
}
|
||||
}
|
||||
|
||||
// 解压完成后回调
|
||||
if (afterExtract != null) {
|
||||
afterExtract.accept(newPath.toFile());
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 安全解析路径，防止Zip Slip攻击
|
||||
*
|
||||
* @param targetDir
|
||||
* @param entryName
|
||||
* @return
|
||||
* @throws IOException
|
||||
* @author chenrui
|
||||
* @date 2025/4/28 16:46
|
||||
*/
|
||||
private static Path safeResolve(Path targetDir, String entryName) throws IOException {
|
||||
Path resolvedPath = targetDir.resolve(entryName).normalize();
|
||||
if (!resolvedPath.startsWith(targetDir)) {
|
||||
throw new IOException("ZIP 路径穿越攻击被阻止:" + entryName);
|
||||
}
|
||||
return resolvedPath;
|
||||
}
|
||||
|
||||
/**
|
||||
* 复制输入流到输出流，并限制最大字节数
|
||||
*
|
||||
* @param in
|
||||
* @param out
|
||||
* @param maxBytes
|
||||
* @return
|
||||
* @throws IOException
|
||||
* @author chenrui
|
||||
* @date 2025/4/28 17:03
|
||||
*/
|
||||
private static long copyLimited(InputStream in, OutputStream out, long maxBytes) throws IOException {
|
||||
byte[] buffer = new byte[8192];
|
||||
long totalCopied = 0;
|
||||
int bytesRead;
|
||||
while ((bytesRead = in.read(buffer)) != -1) {
|
||||
totalCopied += bytesRead;
|
||||
if (totalCopied > maxBytes) {
|
||||
throw new IOException("单个文件解压超限，可能是zip bomb攻击");
|
||||
}
|
||||
out.write(buffer, 0, bytesRead);
|
||||
}
|
||||
return totalCopied;
|
||||
}
|
||||
|
||||
}
|
||||
+18
@@ -0,0 +1,18 @@
|
||||
package org.jeecg.modules.airag.llm.service.impl;
|
||||
|
||||
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragKnowledge;
|
||||
import org.jeecg.modules.airag.llm.mapper.AiragKnowledgeMapper;
|
||||
import org.jeecg.modules.airag.llm.service.IAiragKnowledgeService;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
/**
|
||||
* @Description: AIRag知识库
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-18
|
||||
* @Version: V1.0
|
||||
*/
|
||||
@Service
|
||||
public class AiragKnowledgeServiceImpl extends ServiceImpl<AiragKnowledgeMapper, AiragKnowledge> implements IAiragKnowledgeService {
|
||||
|
||||
}
|
||||
+19
@@ -0,0 +1,19 @@
|
||||
package org.jeecg.modules.airag.llm.service.impl;
|
||||
|
||||
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
|
||||
import org.jeecg.modules.airag.llm.entity.AiragModel;
|
||||
import org.jeecg.modules.airag.llm.mapper.AiragModelMapper;
|
||||
import org.jeecg.modules.airag.llm.service.IAiragModelService;
|
||||
import org.springframework.stereotype.Service;
|
||||
|
||||
/**
|
||||
* @Description: AiRag模型配置
|
||||
* @Author: jeecg-boot
|
||||
* @Date: 2025-02-14
|
||||
* @Version: V1.0
|
||||
*/
|
||||
@Service
|
||||
public class AiragModelServiceImpl extends ServiceImpl<AiragModelMapper, AiragModel> implements IAiragModelService {
|
||||
|
||||
|
||||
}
|
||||
+94
@@ -0,0 +1,94 @@
|
||||
package org.jeecg.modules.airag.ocr.controller;
|
||||
|
||||
import com.alibaba.fastjson.JSONObject;
|
||||
import com.baomidou.mybatisplus.core.metadata.IPage;
|
||||
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
|
||||
import org.apache.commons.collections.CollectionUtils;
|
||||
import org.jeecg.common.api.vo.Result;
|
||||
import org.jeecg.common.util.RedisUtil;
|
||||
import org.jeecg.modules.airag.ocr.entity.AiOcr;
|
||||
import org.springframework.beans.BeanUtils;
|
||||
import org.springframework.beans.factory.annotation.Autowired;
|
||||
import org.springframework.web.bind.annotation.*;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
import java.util.UUID;
|
||||
|
||||
@RestController
|
||||
@RequestMapping("/airag/ocr")
|
||||
public class AiOcrController {
|
||||
|
||||
@Autowired
|
||||
private RedisUtil redisUtil;
|
||||
|
||||
private static final String AI_OCR_REDIS_KEY = "airag:ocr";
|
||||
|
||||
@GetMapping("/list")
|
||||
public Result<?> list(){
|
||||
Object aiOcr = redisUtil.get(AI_OCR_REDIS_KEY);
|
||||
IPage<AiOcr> page = new Page<>(1,10);
|
||||
if(null != aiOcr){
|
||||
List<AiOcr> aiOcrList = JSONObject.parseArray(aiOcr.toString(), AiOcr.class);
|
||||
page.setRecords(aiOcrList);
|
||||
page.setTotal(aiOcrList.size());
|
||||
page.setPages(aiOcrList.size());
|
||||
}
|
||||
return Result.OK(page);
|
||||
}
|
||||
|
||||
@PostMapping("/add")
|
||||
public Result<String> add(@RequestBody AiOcr aiOcr){
|
||||
Object aiOcrList = redisUtil.get(AI_OCR_REDIS_KEY);
|
||||
aiOcr.setId(UUID.randomUUID().toString().replace("-",""));
|
||||
if(null == aiOcrList){
|
||||
List<AiOcr> list = new ArrayList<>();
|
||||
list.add(aiOcr);
|
||||
redisUtil.set(AI_OCR_REDIS_KEY, JSONObject.toJSONString(list));
|
||||
}else{
|
||||
List<AiOcr> aiOcrs = JSONObject.parseArray(aiOcrList.toString(), AiOcr.class);
|
||||
aiOcrs.add(aiOcr);
|
||||
redisUtil.set(AI_OCR_REDIS_KEY,JSONObject.toJSONString(aiOcrs));
|
||||
}
|
||||
return Result.OK("添加成功");
|
||||
}
|
||||
|
||||
@PutMapping("/edit")
|
||||
public Result<String> updateById(@RequestBody AiOcr aiOcr){
|
||||
Object aiOcrList = redisUtil.get(AI_OCR_REDIS_KEY);
|
||||
if(null != aiOcrList){
|
||||
List<AiOcr> aiOcrs = JSONObject.parseArray(aiOcrList.toString(), AiOcr.class);
|
||||
aiOcrs.forEach(item->{
|
||||
if(item.getId().equals(aiOcr.getId())){
|
||||
BeanUtils.copyProperties(aiOcr,item);
|
||||
}
|
||||
});
|
||||
redisUtil.set(AI_OCR_REDIS_KEY,JSONObject.toJSONString(aiOcrs));
|
||||
}else{
|
||||
return Result.OK("编辑失败，未找到该数据");
|
||||
}
|
||||
return Result.OK("编辑成功");
|
||||
}
|
||||
|
||||
@DeleteMapping("/deleteById")
|
||||
public Result<String> deleteById(@RequestBody AiOcr aiOcr){
|
||||
Object aiOcrObj = redisUtil.get(AI_OCR_REDIS_KEY);
|
||||
if(null != aiOcrObj){
|
||||
List<AiOcr> aiOcrs = JSONObject.parseArray(aiOcrObj.toString(), AiOcr.class);
|
||||
List<AiOcr> aiOcrList = new ArrayList<>();
|
||||
for(AiOcr ocr: aiOcrs){
|
||||
if(!ocr.getId().equals(aiOcr.getId())){
|
||||
aiOcrList.add(ocr);
|
||||
}
|
||||
}
|
||||
if(CollectionUtils.isNotEmpty(aiOcrList)){
|
||||
redisUtil.set(AI_OCR_REDIS_KEY,JSONObject.toJSONString(aiOcrList));
|
||||
}else{
|
||||
redisUtil.removeAll(AI_OCR_REDIS_KEY);
|
||||
}
|
||||
}else{
|
||||
return Result.OK("删除失败，未找到该数据");
|
||||
}
|
||||
return Result.OK("删除成功");
|
||||
}
|
||||
}
|
||||
+29
@@ -0,0 +1,29 @@
|
||||
package org.jeecg.modules.airag.ocr.entity;
|
||||
|
||||
import lombok.Data;
|
||||
|
||||
/**
|
||||
* @Description: OCR识别实体类
|
||||
*
|
||||
* @author: wangshuai
|
||||
* @date: 2025/4/16 17:01
|
||||
*/
|
||||
@Data
|
||||
public class AiOcr {
|
||||
|
||||
/**
|
||||
* 编号
|
||||
*/
|
||||
private String id;
|
||||
|
||||
/**
|
||||
* 标题
|
||||
*/
|
||||
private String title;
|
||||
|
||||
/**
|
||||
* 提示词
|
||||
*/
|
||||
private String prompt;
|
||||
|
||||
}
|
||||
@@ -0,0 +1,72 @@
|
||||
server:
|
||||
port: 7008
|
||||
spring:
|
||||
jackson:
|
||||
date-format: yyyy-MM-dd HH:mm:ss
|
||||
time-zone: GMT+8
|
||||
autoconfigure:
|
||||
exclude:
|
||||
- com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceAutoConfigure
|
||||
- org.springframework.boot.autoconfigure.flyway.FlywayAutoConfiguration
|
||||
datasource:
|
||||
druid:
|
||||
stat-view-servlet:
|
||||
enabled: true
|
||||
loginUsername: admin
|
||||
loginPassword: 123456
|
||||
allow:
|
||||
web-stat-filter:
|
||||
enabled: true
|
||||
dynamic:
|
||||
druid: # 全局druid参数，绝大部分值和默认保持一致。(现已支持的参数如下,不清楚含义不要乱设置)
|
||||
# 连接池的配置信息
|
||||
# 初始化大小，最小，最大
|
||||
initial-size: 5
|
||||
min-idle: 5
|
||||
maxActive: 1000
|
||||
# 配置获取连接等待超时的时间
|
||||
maxWait: 60000
|
||||
# 配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒
|
||||
timeBetweenEvictionRunsMillis: 60000
|
||||
# 配置一个连接在池中最小生存的时间，单位是毫秒
|
||||
minEvictableIdleTimeMillis: 300000
|
||||
# validationQuery: SELECT 1
|
||||
testWhileIdle: true
|
||||
testOnBorrow: false
|
||||
testOnReturn: false
|
||||
# 打开PSCache，并且指定每个连接上PSCache的大小
|
||||
poolPreparedStatements: true
|
||||
maxPoolPreparedStatementPerConnectionSize: 20
|
||||
# 配置监控统计拦截的filters，去掉后监控界面sql无法统计，'wall'用于防火墙
|
||||
# !!!!!mysql
|
||||
# filters: stat,slf4j,wall
|
||||
# !!!!!DM
|
||||
filters: stat,slf4j
|
||||
# 允许SELECT语句的WHERE子句是一个永真条件
|
||||
# wall:
|
||||
# selectWhereAlwayTrueCheck: false
|
||||
# 打开mergeSql功能；慢SQL记录
|
||||
stat:
|
||||
merge-sql: true
|
||||
slow-sql-millis: 5000
|
||||
datasource:
|
||||
master:
|
||||
## !!!!!MYSQL
|
||||
url: jdbc:mysql://localhost:3306/jeecg-boot-dev?characterEncoding=UTF-8&useUnicode=true&useSSL=false&tinyInt1isBit=false&allowPublicKeyRetrieval=true&serverTimezone=Asia/Shanghai
|
||||
username: root
|
||||
password: 123456
|
||||
driver-class-name: com.mysql.cj.jdbc.Driver
|
||||
redis:
|
||||
database: 0
|
||||
host: 192.168.1.188
|
||||
port: 6379
|
||||
password: 'res983'
|
||||
jeecg:
|
||||
ai-rag:
|
||||
embed-store:
|
||||
host: "localhost"
|
||||
port: 15432
|
||||
database: "postgres"
|
||||
user: "postgres"
|
||||
password: "123456"
|
||||
table: "embeddings"
|
||||
@@ -0,0 +1,78 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<configuration debug="false">
|
||||
<!--定义日志文件的存储地址 -->
|
||||
<property name="LOG_HOME" value="../logs" />
|
||||
|
||||
<!--<property name="COLOR_PATTERN" value="%black(%contextName-) %red(%d{yyyy-MM-dd HH:mm:ss}) %green([%thread]) %highlight(%-5level) %boldMagenta( %replace(%caller{1}){'\t|Caller.{1}0|\r\n', ''})- %gray(%msg%xEx%n)" />-->
|
||||
<!-- 控制台输出 -->
|
||||
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
|
||||
<encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
|
||||
<!--格式化输出：%d表示日期，%thread表示线程名，%-5level：级别从左显示5个字符宽度%msg：日志消息，%n是换行符
|
||||
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{50}:%L - %msg%n</pattern>-->
|
||||
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %highlight(%-5level) %cyan(%logger{50}:%L) - %msg%n</pattern>
|
||||
</encoder>
|
||||
</appender>
|
||||
|
||||
<!-- 按照每天生成日志文件 -->
|
||||
<appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
|
||||
<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
|
||||
<!--日志文件输出的文件名 -->
|
||||
<FileNamePattern>${LOG_HOME}/jeecgboot-%d{yyyy-MM-dd}.%i.log</FileNamePattern>
|
||||
<!--日志文件保留天数 -->
|
||||
<MaxHistory>30</MaxHistory>
|
||||
<maxFileSize>10MB</maxFileSize>
|
||||
</rollingPolicy>
|
||||
<encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
|
||||
<!--格式化输出：%d表示日期，%thread表示线程名，%-5level：级别从左显示5个字符宽度%msg：日志消息，%n是换行符 -->
|
||||
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{50}:%L - %msg%n</pattern>
|
||||
</encoder>
|
||||
</appender>
|
||||
|
||||
<!-- 生成 error html格式日志开始 -->
|
||||
<appender name="HTML" class="ch.qos.logback.core.FileAppender">
|
||||
<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
|
||||
<!--设置日志级别,过滤掉info日志,只输入error日志-->
|
||||
<level>ERROR</level>
|
||||
</filter>
|
||||
<encoder class="ch.qos.logback.core.encoder.LayoutWrappingEncoder">
|
||||
<layout class="ch.qos.logback.classic.html.HTMLLayout">
|
||||
<pattern>%p%d%msg%M%F{32}%L</pattern>
|
||||
</layout>
|
||||
</encoder>
|
||||
<file>${LOG_HOME}/error-log.html</file>
|
||||
</appender>
|
||||
<!-- 生成 error html格式日志结束 -->
|
||||
|
||||
<!-- 每天生成一个html格式的日志开始 -->
|
||||
<appender name="FILE_HTML" class="ch.qos.logback.core.rolling.RollingFileAppender">
|
||||
<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
|
||||
<!--日志文件输出的文件名 -->
|
||||
<FileNamePattern>${LOG_HOME}/jeecgboot-%d{yyyy-MM-dd}.%i.html</FileNamePattern>
|
||||
<!--日志文件保留天数 -->
|
||||
<MaxHistory>30</MaxHistory>
|
||||
<MaxFileSize>10MB</MaxFileSize>
|
||||
</rollingPolicy>
|
||||
<encoder class="ch.qos.logback.core.encoder.LayoutWrappingEncoder">
|
||||
<layout class="ch.qos.logback.classic.html.HTMLLayout">
|
||||
<pattern>%p%d%msg%M%F{32}%L</pattern>
|
||||
</layout>
|
||||
</encoder>
|
||||
</appender>
|
||||
<!-- 每天生成一个html格式的日志结束 -->
|
||||
|
||||
<!--myibatis log configure -->
|
||||
<logger name="com.apache.ibatis" level="TRACE" />
|
||||
<logger name="java.sql.Connection" level="DEBUG" />
|
||||
<logger name="java.sql.Statement" level="DEBUG" />
|
||||
<logger name="java.sql.PreparedStatement" level="DEBUG" />
|
||||
<logger name="logging.level.dev.langchain4j" level="DEBUG" />
|
||||
<logger name="logging.level.dev.ai4j.openai4j" level="DEBUG" />
|
||||
<!-- 日志输出级别 -->
|
||||
<root level="info">
|
||||
<appender-ref ref="STDOUT" />
|
||||
<!-- <appender-ref ref="FILE" />-->
|
||||
<!-- <appender-ref ref="HTML" />-->
|
||||
<!-- <appender-ref ref="FILE_HTML" />-->
|
||||
</root>
|
||||
|
||||
</configuration>
|
||||
Reference in New Issue
Block a user