50 Commits

Author SHA1 Message Date
ageerle
9d439d1dcf refactor: move RAG trace classes to argtrace package and update SQL schema
- Rename org.ruoyi.trace package to org.ruoyi.argtrace for RagTraceNodeTypes
  and RagTracePayloadBuilder; fix package declarations and update imports in
  ChatServiceFacade and KnowledgeRetrievalServiceImpl
- Remove obsolete RagTracePayloadBuilderTest
- Switch supervisor response strategy from SUMMARY to LAST in ChatServiceFacade
- Refresh docs/script/sql/ruoyi-ai.sql with the latest full schema dump
- Add live demo links (admin panel, user frontend, commercial edition) to
  README.md and README_ZH.md

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-04 17:44:39 +08:00
ageerle
0a08c489be docs: remove redundant registry commands 2026-08-04 15:57:32 +08:00
ageerle
038e7725f9 docs: add prebuilt image deployment guide 2026-08-04 15:55:17 +08:00
ageerle
4ccf249663 docs: remove obsolete WeChat image 2026-08-04 15:50:51 +08:00
ageerle
1d5b01f77f docs: remove obsolete Douyin image 2026-08-04 15:50:36 +08:00
ageerle
538dac3a46 docs: add Douyin tutorial QR code 2026-08-04 15:49:40 +08:00
ageerle
6c383dd9f5 fix: 修复智能体编辑时关联工具加载失败 (#320) 2026-08-04 15:38:25 +08:00
ageerle
9ae49f8797 fix: allow frontend dependency builds in image workflow 2026-08-04 15:30:34 +08:00
ageerle
3c175ba28d chore: sync pending project changes 2026-08-04 15:23:19 +08:00
ageerle
e34592c3d4 release: prepare v3.1.0 2026-08-04 15:18:57 +08:00
ageerle
fd044a4752 docs: align README badges in one row 2026-07-30 00:22:22 +08:00
ageerle
6e264ad500 feat: streamline workflow orchestration and chat routing
Add Zhipu web search integration, remove obsolete workflow nodes and resume handling, and separate model, agent, and workflow chat execution.
2026-07-30 00:15:44 +08:00
ageerle
83fd1ee983 fix: 移除FastJson 1.2.83严重安全漏洞,替换为Jackson
- 移除FastJson 1.2.83依赖(存在严重RCE漏洞CVE-2022-25845等)
- 替换为Spring Boot内置的Jackson 2.18.2
- 修改6个Java文件的JSON处理逻辑
- 所有模块编译验证通过

修改文件:
1. pom.xml - 移除fastjson依赖定义
2. ruoyi-common-chat/pom.xml - 替换为jackson-databind
3. QwenFileUploadUtils.java - 千问文件上传JSON解析
4. ChatRequest.java - 移除FastJson注解
5. MailSendNode.java - 邮件节点JSON处理
6. SwitcherNode.java - 条件分支JSON处理
7. AbstractAuthWeChatEnterpriseRequest.java - 企业微信登录
8. AuthDingTalkV2Request.java - 钉钉登录

安全提升:消除FastJson反序列化RCE漏洞攻击面

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-07-29 14:59:20 +08:00
ageerle
7640de34e5 Merge pull request #318 from ageerle/feat/register-default-role-and-misc
feat: 注册默认角色绑定 + 短剧流式超时兜底 + trace 测试适配
2026-07-28 11:25:37 +08:00
ageerle
77846601ee test(retrieval): 适配 KnowledgeRetrievalServiceImpl 新增 trace 依赖
构造测试实例时补上 TraceRecordService 与 TraceProperties 两个新参数,
修复编译/构造失败。

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-28 11:22:26 +08:00
ageerle
b80dc6e23f fix(shortdrama): 流式生成增加首 token 90 秒超时兜底
部分聚合站对 stream=true 既不返回内容也不报错,外层 30 分钟总超时
才会失败,前端会长时间卡死。90 秒内未收到任何 token 时快速失败,
提示更换模型或使用同步生成。收到首 token 后取消兜底计时。

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-28 11:22:19 +08:00
ageerle
176cc67a5c feat(register): 新用户注册成功后绑定默认角色并补齐缺失菜单权限
- SysRegisterService: 注册成功后读取 sys.register.defaultRoleId 配置,
  为新用户绑定默认角色;未配置则静默跳过,不影响注册流程
- SysUserServiceImpl.registerUser: insert 后回写 userId 主键,
  供调用方绑定默认角色或登录使用
- SQL: 修正 知识管理 父菜单 perms(knowledge:info:list -> system:info:list),
  新增 system:session:* / system:attach:* / system:fragment:* 菜单,
  新建 普通用户 角色(租户 000000,data_scope=5 仅本人)及角色-菜单关联,
  写入 sys.register.defaultRoleId 配置项

解决注册用户无默认角色导致无权限访问 AI 对话界面、以及菜单权限标识
与控制器不一致无法授权的问题。

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-28 11:22:12 +08:00
ageerle
afaa86ef6e Merge branch 'fix/sse-session-trace-cleanup' 2026-07-23 15:38:50 +08:00
ageerle
d1a820728f fix(sse): SSE 改为按会话隔离 + 修 trace 租户 bug + 清理冗余
SSE 串台修复:
- SseEmitterManager 新增按 sessionId 维度的 connect/sendEvent/disconnect,
  每个会话一个 SSE 连接,替代原 userId+token 维度(同用户多会话串台)
- SseMessageDto 增加 sessionId + eventDto 字段,跨实例按会话路由
- SseTopicListener 优先按 sessionId 路由,回退原 userId/群发逻辑
- SseMessageUtils 增加 sessionId 重载,对话链路全部切换
- ChatServiceFacade / MyMcpClientListener / WorkflowStarter 切到 sessionId
- 通知/全局 /sse 端点保留 userId 模式(通知按用户)

trace 租户 bug 修复:
- trace_run / trace_node 加入 tenant.excludes,监控表跨租户全局可见,
  绕过异步线程租户上下文不传播导致 node 查不到的问题

冗余清理:
- 删除零使用的 @TraceNode 注解 + TraceNodeAspect 切面 + 对应单测
- TraceProperties 删除 recordDetail/maxInputLength/maxOutputLength
  (仅对已删切面生效,编程式埋点用 RagTracePayloadBuilder 不受影响)
- TracePayloadUtils 删除 input/output/asString 方法
- TraceConstants 删除无引用的 NODE_METHOD/HTTP/DB/CACHE/TASK/STREAM
- TraceContext 删除预留的 copyNodeStack
- TraceNodeVo 删除未用的 children 字段
- TraceRecordServiceImpl.getDetail 删除重复 enrich
- application.yml 删除 trace.payload 无效配置项
- RagTraceNodeTypes 删除无引用的 NODE_STREAM

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-23 15:35:10 +08:00
ageerle
11bb1dba0f Merge PR #308: 通用链路追踪模块与 RAG 对话全链路埋点 2026-07-23 15:10:40 +08:00
Obltv
345d2819d8 fix: 修复链路追踪输出记录及关闭追踪时的额外开销 2026-07-23 14:52:19 +08:00
Obltv
36e3cf8c52 fix: 修复链路追踪输出记录及关闭追踪时的额外开销 2026-07-23 14:45:43 +08:00
Obltv
06ff95cdc3 Merge upstream/main into feature/common-trace-rag-chat 2026-07-23 14:30:38 +08:00
ageerle
9adeee6c83 fix(short-drama): 修复角色形象跨分镜不一致
1. findRefImageIndex 补上 appearance 参数,与 findStoryboardReferenceImages
   的调用对齐。之前多形象角色(换装/青年老年)的 @imageN 绑定查的是
   默认形象 URL,和实际参考图列表对不上,导致 prompt 里没有 @imageN 标记
2. buildEnrichedVideoPrompt 角色段追加 visualDescription,
   文字 prompt 也承载外貌信息(发型/服装/体态),不能全靠参考图

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-21 16:06:06 +08:00
ageerle
e42d35f3bf fix: 工作流实体保留字转义 + 千问向量模型厂商映射
1. WorkflowRuntimeNode/WorkflowRuntime: input/output/status 字段加反引号,
   修复 MySQL 8.0 保留字导致 MyBatis-Plus SQL 解析异常 (#307)
2. EmbeddingModelFactory: 新增 providerCode→BeanName 映射,
   qianwen→alibailian,修复千问向量模型找不到 Bean 的问题 (#301)

Closes #307 #301

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-21 15:43:36 +08:00
ageerle
a69d1f51b9 feat: 打通 thinking 流式链路 + SqlAgent 表白名单校验
1. OllamaServiceImpl 补 .think() + .returnThinking(),对齐其他 provider (#306)
2. ChatServiceFacade.createCombinedHandler 新增 onPartialThinking,
   reasoning 内容经 SseMessageUtils.sendReasoning 流式推到前端 (#303)
3. SqlAgent 系统提示词追加无表时禁止执行 SQL 的规则 (#279)
4. ExecuteSqlQueryTool 代码层硬拦截:空白名单直接拒绝,
   有白名单则校验 SQL 中 FROM/JOIN 引用的表名 (#279)

Closes #303 #306 #279

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-21 15:31:32 +08:00
ageerle
911ae6cb1f fix: 修复 issue IJX5VV/IJPYWL/IHPUDA
- IJX5VV: 补全工作流 9 个节点消息模板 sys_config 配置(SQL 脚本合并重命名时遗失),
  附幂等增量脚本;此前节点执行会抛「请先配置该节点的响应模板」
- IJPYWL: 向量模型未配置维度时,Milvus/Qdrant 回退默认 1024,避免 Integer 拆箱 NPE
- IHPUDA: chat_provider.provider_icon 由 varchar(255) 加宽至 varchar(1000),
  容纳 minio 私有桶签名 URL,附增量脚本

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-21 15:28:28 +08:00
ageerle
9a2f326e42 fix(rag): 合并后修正-升级脚本兼容 MySQL 8、重解析按 docId 清理旧向量
1. 升级脚本 2026-07-20-knowledge-fragment-fid.sql 使用了 MySQL 8 不支持的
   ADD COLUMN IF NOT EXISTS(MariaDB 语法),在存量库执行会直接语法报错。
   改为与脚本内索引守卫一致的 information_schema 判断 + PREPARE 方式,保持幂等。

2. parse() 重新解析时按 fragment.fid 删除旧向量:存量数据的 fid 为迁移脚本
   回填的 MD5 值,与向量库中实际存储的随机 fid 不一致,首次重解析无法命中
   旧向量,导致新旧向量重复累积。改为写入新向量前先按 docId 清理(三种
   向量库策略均支持),写入失败时仍补偿删除新 fid。

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-21 14:33:28 +08:00
ageerle@163.com
46a8d6b552 Merge pull request #315 from MuSan-Li/update/2026-07-19-fixes
修复RAG相关逻辑优化:统一文档切割配置、向量数据生命周期、
统一检索服务(阈值/重排/缓存)、按知识库路由向量库、重新解析支持
2026-07-21 14:33:11 +08:00
evo
cf5423f69f fix(rag): 统一文档切割配置并支持重新解析 2026-07-21 12:18:19 +08:00
evo
177375a7b7 docs(rag): 更新完整修复与验收报告 2026-07-21 09:35:56 +08:00
evo
016bdbdd94 test(rag): 增加三向量库 Docker 生命周期测试 2026-07-21 09:35:56 +08:00
evo
41e0dcb528 chore(rag): 对齐默认向量配置并启用测试 2026-07-21 09:35:56 +08:00
evo
787e447d09 fix(aiflow): 接入统一知识库检索服务 2026-07-21 09:35:33 +08:00
evo
9c092ae3bb fix(chat): 统一单轮检索并完善多库上下文 2026-07-21 09:35:26 +08:00
evo
42bc8fea95 fix(rag): 完善向量路由批量写入与数据生命周期 2026-07-21 09:35:18 +08:00
evo
c4fc1e6fcf fix(rag): 隔离模型实例并修正缓存刷新 2026-07-21 09:35:07 +08:00
evo
6f6d0893ec fix(rag): 统一检索阈值重排降级与缓存语义 2026-07-21 09:34:56 +08:00
evo
a6a55202a3 fix(rag): 修复文本分片边界与字面量分隔符 2026-07-21 09:34:47 +08:00
ageerle@163.com
24bee53f9e feat: 新增 ChitChatAgent 闲聊兜底子 Agent 并接入 supervisor
简单任务无专业子 Agent 可用时由闲聊 Agent 兜底,避免 supervisor 空转返回空内容;通过 supervisorContext 约束仅在问候/闲聊场景路由到该 Agent。

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-20 16:08:48 +08:00
evo
afc9d3d17d fix: 修复本地启动、数据库初始化与构建问题 (#314)
* fix: 修复本地启动、数据库初始化与构建问题

* fix: 修复pr的一些问题提交
2026-07-19 13:42:43 +08:00
evo
97ce15d116 fix: 修复pr的一些问题提交 2026-07-19 13:30:09 +08:00
evo
879fe48945 fix: 修复本地启动、数据库初始化与构建问题 2026-07-19 12:20:22 +08:00
ageerle@163.com
5d834d924a feat: 编程助手按聊天模型过滤并补充 MCP 工具 thinking 事件,README 补充 copilot/uniapp 仓库
- CodingController.models 按 category=chat 过滤,编程对话只展示聊天模型
- 各 MCP 文件/命令工具在执行前推送 thinking 提示事件
- README/README_EN 项目源码表新增 ruoyi-copilot、ruoyi-uniapp 三端链接

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-17 14:47:18 +08:00
ageerle@163.com
fece90b307 feat: 新增短剧音频/编码模块、MCP 文件工具与 WebSocket 支持
- 短剧: 新增 ShortDramaAudio 实体/Mapper/BO/VO,扩展 ShortDramaServiceImpl
  合成逻辑与 FfmpegFilterGraphBuilder 滤镜图
- MCP: 新增 WriteFileTool/DeleteFileTool/ExecuteCommandTool,重构
  EditFileTool/ReadFileTool/ListDirectoryTool
- 编码: 新增 coding 模块(CodingAgent/WorkspaceService/SSE 事件通道)
- Atlas: 新增音频生成实现,扩展音视频/媒体实体与预测服务
- WebSocket: 新增公众号聊天 WebSocket 处理器与握手拦截
- 忽略 logs/ 目录,避免合成产物入库

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-17 11:52:53 +08:00
ageerle@163.com
06d110ed16 @docs: 修正 snailjob 注释里失效的 ry_job.sql 引用
实际建表脚本在 docs/script/sql/ruoyi-ai-v3_mysql8.sql(sj_ 前缀表),仓库中并无 ry_job.sql。
关联 issue #311。

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-15 18:25:55 +08:00
ageerle@163.com
dfcadda2bb @style: 修正 QdrantVectorStoreStrategy 缩进为空格
createSchema 调用与文件其余代码保持 4 空格缩进统一,避免 checkstyle/spotless 报错。

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-15 18:00:07 +08:00
Jack Jiang
3c9546ded9 fix: 修复 Qdrant 初始化创建集合问题 (#298) 2026-07-15 17:58:12 +08:00
Octopus
a3d82e092e Refresh MiniMax models and protocol support (#313)
Co-authored-by: octo-patch <266937838+octo-patch@users.noreply.github.com>
2026-07-15 17:43:51 +08:00
Obltv
e925050207 feat: 新增通用链路追踪模块与 RAG 对话全链路埋点
- 新增 ruoyi-common-trace 模块:TraceContext 上下文、TraceNodeAspect 注解切面、数据库双表持久化
- ChatServiceFacade / KnowledgeRetrievalServiceImpl 完成 RAG 对话 retrieval → rerank → llm-call 全链路采集
- 新增 TraceController 提供列表/详情/节点查询 API 及数据统计
- 支持 trace.enabled 开关、payload 长度截断、错误安全降级
- TraceNodeTemplate 模板封装标准节点生命周期,减少重复样板代码
2026-06-16 10:14:35 +08:00
226 changed files with 10259 additions and 2112 deletions

133
.github/workflows/publish-images.yml vendored Normal file
View File

@@ -0,0 +1,133 @@
name: Publish Docker Images
on:
push:
tags:
- 'v*.*.*'
workflow_dispatch:
inputs:
release_tag:
description: Release tag to rebuild
required: true
type: string
concurrency:
group: publish-images-${{ inputs.release_tag || github.ref_name }}
cancel-in-progress: false
env:
REGISTRY: ghcr.io
IMAGE_OWNER: ${{ github.repository_owner }}
RELEASE_TAG: ${{ inputs.release_tag || github.ref_name }}
jobs:
publish:
name: Publish ${{ matrix.image }}
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
attestations: write
id-token: write
strategy:
fail-fast: false
matrix:
include:
- image: ruoyi-ai-backend
source: local
context: .
dockerfile: docs/docker/ruoyi-ai/Dockerfile.backend
- image: ruoyi-ai-mysql
source: local
context: .
dockerfile: docs/docker/ruoyi-ai/Dockerfile.mysql
- image: ruoyi-ai-admin
source: admin
context: build/ruoyi-admin
dockerfile: build/ruoyi-admin/apps/web-antd/Dockerfile
- image: ruoyi-ai-web
source: web
context: build/ruoyi-web
dockerfile: build/ruoyi-web/Dockerfile.frontend
steps:
- name: Checkout backend repository
uses: actions/checkout@v6
with:
ref: ${{ env.RELEASE_TAG }}
fetch-depth: 1
- name: Checkout admin repository
if: matrix.source == 'admin'
uses: actions/checkout@v6
with:
repository: ${{ github.repository_owner }}/ruoyi-admin
ref: ${{ env.RELEASE_TAG }}
path: build/ruoyi-admin
fetch-depth: 1
- name: Checkout web repository
if: matrix.source == 'web'
uses: actions/checkout@v6
with:
repository: ${{ github.repository_owner }}/ruoyi-web
ref: ${{ env.RELEASE_TAG }}
path: build/ruoyi-web
fetch-depth: 1
- name: Configure frontend dependency builds
if: matrix.source == 'admin' || matrix.source == 'web'
shell: bash
run: |
python3 - "${{ matrix.dockerfile }}" <<'PY'
from pathlib import Path
import sys
dockerfile = Path(sys.argv[1])
content = dockerfile.read_text()
marker = "pnpm install --frozen-lockfile"
replacement = (
"pnpm install --frozen-lockfile "
"--config.dangerously-allow-all-builds=true"
)
if marker not in content:
raise SystemExit(f"pnpm install command not found in {dockerfile}")
dockerfile.write_text(content.replace(marker, replacement, 1))
PY
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Log in to GHCR
uses: docker/login-action@v3
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract Docker metadata
id: meta
uses: docker/metadata-action@v5
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_OWNER }}/${{ matrix.image }}
tags: |
type=raw,value=${{ env.RELEASE_TAG }}
type=raw,value=latest
labels: |
org.opencontainers.image.source=https://github.com/${{ github.repository }}
org.opencontainers.image.version=${{ env.RELEASE_TAG }}
- name: Build and push image
uses: docker/build-push-action@v6
with:
context: ${{ matrix.context }}
file: ${{ matrix.dockerfile }}
platforms: linux/amd64
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha,scope=${{ matrix.image }}
cache-to: type=gha,mode=max,scope=${{ matrix.image }}
provenance: true
sbom: true

5
.gitignore vendored
View File

@@ -23,6 +23,9 @@ target/
.idea
.claude
.github
!.github/
!.github/workflows/
!.github/workflows/**
*.iws
*.iml
*.ipr
@@ -45,6 +48,7 @@ nbdist/
*.xml.versionsBackup
*.swp
data/
logs/
!*/build/*.java
!*/build/*.html
@@ -52,3 +56,4 @@ data/
.flattened-pom.xml
/.claude/settings.local.json
/docs/docker/milvus/volumes/

284
README.md
View File

@@ -2,11 +2,7 @@
<div align="center">
[![Contributors][contributors-shield]][contributors-url]
[![Forks][forks-shield]][forks-url]
[![Stargazers][stars-shield]][stars-url]
[![Issues][issues-shield]][issues-url]
[![MIT License][license-shield]][license-url]
[![Contributors][contributors-shield]][contributors-url] [![Forks][forks-shield]][forks-url] [![Stargazers][stars-shield]][stars-url] [![Issues][issues-shield]][issues-url] [![MIT License][license-shield]][license-url]
<p align="center">
@@ -17,234 +13,231 @@
<img src="docs/image/logo.png" alt="RuoYi AI Logo" width="120" height="120">
### 企业级AI助手平台
### Enterprise-Grade AI Assistant Platform
*开箱即用的全栈AI平台支持多智能体协同、Supervisor模式编排、多种决策模式、RAG技术和流程编排能力*
*An out-of-the-box full-stack AI platform supporting multi-agent collaboration, Supervisor mode orchestration, and multiple decision models, with advanced RAG technology and visual workflow orchestration capabilities*
**[English](README_EN.md)** | **[📖 使用文档](https://doc.ruoyiai.chat/)** |
**[🚀 在线体验](https://web.ruoyiai.chat/)** | **[🐛 问题反馈](https://github.com/ageerle/ruoyi-ai/issues)** | **[💡 功能建议](https://github.com/ageerle/ruoyi-ai/issues)**
**[中文](README_ZH.md)** | **[📖 Documentation](https://doc.ruoyiai.chat/)** |
**[🚀 Live Demo](https://web.ruoyiai.chat/)** | **[🐛 Report Issues](https://github.com/ageerle/ruoyi-ai/issues)** | **[💡 Feature Requests](https://github.com/ageerle/ruoyi-ai/issues)**
</div>
## ✨ 核心亮点
## 🚀 Live Demo
| 模块 | 现有能力
|:---------:|---
| **模型管理** | 多模型接入(DeepSeek/智谱/MIMO/百炼/OpenAI)、多模态理解、Coze/DIFY/FastGPT/RAGFlow平台集成
| **知识管理** | 本地RAG + 向量库(Milvus/Weaviate/Qdrant) + 文档解析
| **工具管理** | Mcp协议集成、Skills能力 + 可扩展工具生态
| **流程编排** | 可视化工作流设计器、节点拖拽编排、SSE流式执行,目前已经支持模型调用,邮件发送,人工审核等节点
| **智能体管理** | 基于Langchain4j的Agent框架、Supervisor模式编排,支持多种决策模型,可以灵活搭配工具,skills
| Service | URL | Default Account |
|---|---|---|
| Admin Panel | http://129.226.199.247:25666 | admin / admin123 |
| User Frontend | http://129.226.199.247:25137 | admin / admin123 |
| Commercial Edition | https://web.ruoyiai.chat | WeChat QR code login |
## ✨ Core Features
### 项目源码
| Module | Current Capabilities |
|:---:|---|
| **Model Management** | Multi-model integration (DeepSeek/Zhipu/MIMO/Bailian/OpenAI), multi-modal understanding, Coze/DIFY/FastGPT/RAGFlow platform integration |
| **Knowledge Management** | Local RAG + Vector DB (Milvus/Weaviate/Qdrant) + Document parsing |
| **Tool Management** | MCP protocol integration, Skills capability + Extensible tool ecosystem |
| **Workflow Orchestration** | Visual workflow designer, drag-and-drop node orchestration, SSE streaming execution, currently supports model calls, email sending, manual review, and other nodes |
| **Multi-Agent** | Agent framework based on Langchain4j, Supervisor mode orchestration, supports multiple decision models, can flexibly combine tools and skills |
| 项目模块 | GitHub 仓库 | Gitee 仓库 | GitCode 仓库 |
### Project Repositories
| Module | GitHub Repository | Gitee Repository | GitCode Repository |
|----------|-------------------------------------------------------|------------------------------------------------------|--------------------------------------------------------|
| 🔧 后端服务 | [ruoyi-ai](https://github.com/ageerle/ruoyi-ai) | [ruoyi-ai](https://gitee.com/ageerle/ruoyi-ai) | [ruoyi-ai](https://gitcode.com/ageerle/ruoyi-ai) |
| 🎨 用户前端 | [ruoyi-web](https://github.com/ageerle/ruoyi-web) | [ruoyi-web](https://gitee.com/ageerle/ruoyi-web) | [ruoyi-web](https://gitcode.com/ageerle/ruoyi-web) |
| 🛠️ 管理后台 | [ruoyi-admin](https://github.com/ageerle/ruoyi-admin) | [ruoyi-admin](https://gitee.com/ageerle/ruoyi-admin) | [ruoyi-admin](https://gitcode.com/ageerle/ruoyi-admin) |
| 🎬 短剧平台 | [ruoyi-drama](https://github.com/ageerle/ruoyi-drama) | [ruoyi-drama](https://gitee.com/ageerle/ruoyi-drama) | [ruoyi-drama](https://gitcode.com/ageerle/ruoyi-drama) |
| 🔧 Backend | [ruoyi-ai](https://github.com/ageerle/ruoyi-ai) | [ruoyi-ai](https://gitee.com/ageerle/ruoyi-ai) | [ruoyi-ai](https://gitcode.com/ageerle/ruoyi-ai) |
| 🎨 User Frontend | [ruoyi-web](https://github.com/ageerle/ruoyi-web) | [ruoyi-web](https://gitee.com/ageerle/ruoyi-web) | [ruoyi-web](https://gitcode.com/ageerle/ruoyi-web) |
| 🛠️ Admin Panel | [ruoyi-admin](https://github.com/ageerle/ruoyi-admin) | [ruoyi-admin](https://gitee.com/ageerle/ruoyi-admin) | [ruoyi-admin](https://gitcode.com/ageerle/ruoyi-admin) |
| 🎬 Drama | [ruoyi-drama](https://github.com/ageerle/ruoyi-drama) | [ruoyi-drama](https://gitee.com/ageerle/ruoyi-drama) | [ruoyi-drama](https://gitcode.com/ageerle/ruoyi-drama) |
| 🤖 Copilot | [ruoyi-copilot](https://github.com/ageerle/ruoyi-copilot) | [ruoyi-copilot](https://gitee.com/ageerle/ruoyi-copilot) | [ruoyi-copilot](https://gitcode.com/ageerle/ruoyi-copilot) |
| 📱 Mini-App | [ruoyi-uniapp](https://github.com/ageerle/ruoyi-uniapp) | [ruoyi-uniapp](https://gitee.com/ageerle/ruoyi-uniapp) | [ruoyi-uniapp](https://gitcode.com/ageerle/ruoyi-uniapp) |
### 合作项目
| 项目名称 | GitHub 仓库 | Gitee 仓库
### Partner Projects
| Project Name | GitHub Repository | Gitee Repository |
|----------------|-------------------------------------------------------|------------------------------------------------------|
| element-plus-x | [element-plus-x](https://github.com/element-plus-x/Element-Plus-X) | [element-plus-x](https://gitee.com/he-jiayue/element-plus-x) |
| element-plus-x | [element-plus-x](https://github.com/element-plus-x/Element-Plus-X) | [element-plus-x](https://gitee.com/he-jiayue/element-plus-x) |
## 🛠️ 技术架构
## 🛠️ Technical Architecture
### 核心框架
- **后端架构**Spring Boot 3.5.8 + Langchain4j
- **数据存储**MySQL 8.0 + Redis + 向量数据库(Milvus/Weaviate/Qdrant
- **前端技术**Vue 3 + Vben Admin + element-plus-x
- **安全认证**Sa-Token + JWT 双重保障
- **文档处理**PDFWordExcel 解析,图像智能分析
- **实时通信**WebSocket 实时通信SSE 流式响应
- **系统监控**:完善的日志体系、性能监控、服务健康检查
### Core Framework
- **Backend**: Spring Boot 3.5.8 + Langchain4j
- **Data Storage**: MySQL 8.0 + Redis + Vector Databases (Milvus/Weaviate/Qdrant)
- **Frontend**: Vue 3 + Vben Admin + element-plus-x
- **Security**: Sa-Token + JWT dual-layer security
- **Document Processing**: PDF, Word, Excel parsing, intelligent image analysis
- **Real-time Communication**: WebSocket real-time communication, SSE streaming response
- **System Monitoring**: Comprehensive logging system, performance monitoring, service health checks
## 🐳 Docker 部署
## 🐳 Docker Deployment
本项目提供两种 Docker 部署方式:
This project provides two Docker deployment methods:
### 方式一:一键启动所有服务(推荐)
### Method 1: One-click Start All Services (Recommended)
使用 `docker-compose-all.yaml` 可以一键启动所有服务(包括后端、管理端、用户端及依赖服务):
Use `docker-compose-all.yaml` to start all services at once (including backend, admin panel, user frontend, and dependencies):
```bash
# 克隆仓库
git clone https://github.com/ageerle/ruoyi-ai.git
# Requirements: Docker Engine and Docker Compose V2
# Clone the v3.1.0 release
git clone --depth 1 --branch v3.1.0 https://github.com/ageerle/ruoyi-ai.git
cd ruoyi-ai
# 启动所有服务(从镜像仓库拉取预构建镜像)
docker-compose -f docker-compose-all.yaml up -d
# Pin the image version. Public GHCR images do not require docker login.
cp docs/docker/ruoyi-ai/.env.example docs/docker/ruoyi-ai/.env
sed -i 's/^RUIYI_VERSION=.*/RUIYI_VERSION=v3.1.0/' docs/docker/ruoyi-ai/.env
# 查看服务状态
docker-compose -f docker-compose-all.yaml ps
# Pull pre-built images from GHCR and start all services
docker compose --env-file docs/docker/ruoyi-ai/.env \
-f docs/docker/ruoyi-ai/docker-compose-all.yaml pull
docker compose --env-file docs/docker/ruoyi-ai/.env \
-f docs/docker/ruoyi-ai/docker-compose-all.yaml up -d
# 访问服务
# 管理端: http://localhost:25666 (admin / admin123)
# 用户端: http://localhost:25137
# 后端API: http://localhost:26039
# Check service status
docker compose --env-file docs/docker/ruoyi-ai/.env \
-f docs/docker/ruoyi-ai/docker-compose-all.yaml ps
# Access services (replace SERVER_IP with the server address)
# Admin Panel: http://SERVER_IP:25666 (admin / admin123)
# User Frontend: http://SERVER_IP:25137
# Backend API: http://SERVER_IP:26039
```
### 方式二:分步部署(源码编译)
The default Compose file also publishes MySQL (`23306`), Redis (`26379`),
Weaviate (`28080`), and MinIO (`29000`/`29090`). For production deployments,
change the default MySQL and MinIO passwords and expose only the application
ports through the firewall or a reverse proxy.
如果您需要从源码构建后端服务,请按照以下步骤操作:
To upgrade to another published release, update `RUIYI_VERSION` in
`docs/docker/ruoyi-ai/.env`, then run `docker compose pull` and
`docker compose up -d` with the same `--env-file` and `-f` options. Do not use
`docker compose down -v` unless you intend to delete persistent data volumes.
#### 第一步:部署后端服务
### Method 2: Step-by-step Deployment (Source Build)
If you need to build backend services from source, follow these steps:
#### Step 1: Deploy Backend Service
```bash
# 进入后端项目目录
# Enter backend project directory
cd ruoyi-ai
# 启动后端服务(源码编译构建)
# Start backend service (build from source)
docker-compose up -d --build
# 等待后端服务启动完成
# Wait for backend service to start
docker-compose logs -f backend
```
#### 第二步:部署管理端
#### Step 2: Deploy Admin Panel
```bash
# 进入管理端项目目录
# Enter admin panel project directory
cd ruoyi-admin
# 构建并启动管理端
# Build and start admin panel
docker-compose up -d --build
# 访问管理端
# 地址: http://localhost:5666
# Access admin panel
# URL: http://localhost:5666
```
#### 第三步:部署用户端(可选)
#### Step 3: Deploy User Frontend (Optional)
```bash
# 进入用户端项目目录
# Enter user frontend project directory
cd ruoyi-web
# 构建并启动用户端
# Build and start user frontend
docker-compose up -d --build
# 访问用户端
# 地址: http://localhost:5137
# Access user frontend
# URL: http://localhost:5137
```
### 服务端口说明
### Service Ports
| 服务 | 一键启动端口 | 分步部署端口 | 说明 |
| Service | One-click Port | Step-by-step Port | Description |
|------|-------------|-------------|------|
| 管理端 | 25666 | 5666 | 管理后台访问地址 |
| 用户端 | 25137 | 5137 | 用户前端访问地址 |
| 后端服务 | 26039 | 6039 | 后端 API 服务 |
| MySQL | 23306 | 23306 | 数据库服务 |
| Redis | 26379 | 6379 | 缓存服务 |
| Weaviate | 28080 | 28080 | 向量数据库 |
| MinIO API | 29000 | 9000 | 对象存储 API |
| MinIO Console | 29090 | 9090 | 对象存储控制台 |
| Admin Panel | 25666 | 5666 | Admin backend access |
| User Frontend | 25137 | 5137 | User frontend access |
| Backend Service | 26039 | 6039 | Backend API service |
| MySQL | 23306 | 23306 | Database service |
| Redis | 26379 | 6379 | Cache service |
| Weaviate | 28080 | 28080 | Vector database |
| MinIO API | 29000 | 9000 | Object storage API |
| MinIO Console | 29090 | 9090 | Object storage console |
### 镜像仓库
## 📚 Documentation
所有镜像托管在阿里云容器镜像服务:
Want to learn more about installation, deployment, configuration, and secondary development?
```
crpi-31mraxd99y2gqdgr.cn-beijing.personal.cr.aliyuncs.com/ruoyi_ai
```
**👉 [Complete Documentation](https://doc.ruoyiai.chat/)**
可用镜像:
- `mysql:v3` - MySQL 数据库(包含初始化 SQL
- `redis:6.2` - Redis 缓存
- `weaviate:1.30.0` - 向量数据库
- `minio:latest` - 对象存储
- `ruoyi-ai-backend:latest` - 后端服务
- `ruoyi-ai-admin:latest` - 管理端前端
- `ruoyi-ai-web:latest` - 用户端前端
## 🤝 Contributing
### 常用命令
We warmly welcome community contributions! Whether you are a seasoned developer or just getting started, you can contribute to the project 💪
```bash
# 停止所有服务
docker-compose -f docker-compose-all.yaml down
### How to Contribute
# 查看服务日志
docker-compose -f docker-compose-all.yaml logs -f [服务名]
1. **Fork** the project to your account
2. **Create a branch** (`git checkout -b feature/new-feature-name`)
3. **Commit your changes** (`git commit -m 'Add new feature'`)
4. **Push to the branch** (`git push origin feature/new-feature-name`)
5. **Create a Pull Request**
# 重启某个服务
docker-compose -f docker-compose-all.yaml restart [服务名]
```
> 💡 **Tip**: We recommend submitting PRs to GitHub, we will automatically sync to other code hosting platforms
## 📚 使用文档
## 📄 License
想要深入了解安装部署、功能配置和二次开发?
This project is licensed under the **MIT License**. See the [LICENSE](LICENSE) file for details.
**👉 [完整使用文档](https://doc.ruoyiai.chat/)**
## 🙏 Acknowledgments
## 🤝 参与贡献
Thanks to the following excellent open-source projects for their support:
- [Langchain4j](https://github.com/langchain4j/langchain4j) - Powerful Java LLM development framework
- [RuoYi-Vue-Plus](https://gitee.com/dromara/RuoYi-Vue-Plus) - Mature enterprise-level rapid development framework
- [Vben Admin](https://github.com/vbenjs/vue-vben-admin) - Modern Vue admin template
我们热烈欢迎社区贡献!无论您是资深开发者还是初学者,都可以为项目贡献力量 💪
## 💎 Sponsors
### 贡献方式
1. **Fork** 项目到您的账户
2. **创建分支** (`git checkout -b feature/新功能名称`)
3. **提交代码** (`git commit -m '添加某某功能'`)
4. **推送分支** (`git push origin feature/新功能名称`)
5. **发起 Pull Request**
> 💡 **小贴士**:建议将 PR 提交到 GitHub我们会自动同步到其他代码托管平台
## 📄 开源协议
本项目采用 **MIT 开源协议**,详情请查看 [LICENSE](LICENSE) 文件。
## 🙏 特别鸣谢
感谢以下优秀的开源项目为本项目提供支持:
- [Langchain4j](https://github.com/langchain4j/langchain4j) - 强大的 Java LLM 开发框架
- [RuoYi-Vue-Plus](https://gitee.com/dromara/RuoYi-Vue-Plus) - 成熟的企业级快速开发框架
- [Vben Admin](https://github.com/vbenjs/vue-vben-admin) - 现代化的 Vue 后台管理模板
## 💎 赞助商
**感谢以下赞助商对本项目的支持:**
**Thanks to the following sponsors for supporting this project:**
<a href="https://www.atlascloud.ai?ref=89F97E">
<img src="docs/image/sponsor/atlascloud_banner.png" alt="Atlas Cloud" width="160" height="80">
</a>
[访问Atlas Cloud官网](https://www.atlascloud.ai?ref=89F97E&utm_source=github&utm_campaign=ruoyi-drama) · [编程计划优惠](https://www.atlascloud.ai/console/coding-plan)
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[Visit Atlas Cloud](https://www.atlascloud.ai?ref=89F97E&utm_source=github&utm_campaign=ruoyi-drama) · [Coding Plan Promotion](https://www.atlascloud.ai/console/coding-plan)
A full-modal AI inference platform that gives developers a unified AI API, supporting video generation, image generation, and LLMs. Connect once to access **300+ curated models**.
<a href="https://www.volcengine.com/activity/codingplan?utm_campaign=hw&utm_content=hw&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ageerle-ruoyi-ai">
<img src="docs/image/sponsor/huoshan.png" alt="火山引擎 CodingPlan" width="160" height="80">
<img src="docs/image/sponsor/huoshan.png" alt="Volcengine CodingPlan" width="160" height="80">
</a>
[注册即领2500万Tokens立即前往](https://www.volcengine.com/activity/ai618?utm_campaign=hw&utm_content=hw&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ageerle-ruoyi-ai)
享字节自研豆包模型+满血版开源 SOTA模型覆盖文本、VLM、图像生成全模态一站配齐Seed-2.1Seedream-5.0GLM-5.2DeepSeek等。不止编程、更能解决 Agent 复杂长程任务!
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## 💬 社区交流
## 💬 Community Chat
<div align="center">
<table>
<tr>
<td align="center">
<img src="docs/image/wx.png" alt="微信二维码" width="200" height="200"><br>
<strong>扫码添加作者微信</strong><br>
<em>邀请进群学习</em>
<img src="docs/image/wx.png" alt="WeChat QR Code" width="200" height="200"><br>
<strong>Scan to add author on WeChat</strong><br>
<em>Join group for learning</em>
</td>
<td align="center">
<img src="docs/image/wx06.png" alt="微信二维码" width="200" height="200"><br>
<strong>微信技术交流群</strong><br>
<em>技术讨论</em>
<img src="docs/image/douyin.png" alt="Douyin QR Code" width="200" height="200"><br>
<strong>Douyin Video Tutorials</strong><br>
<em>Open Douyin, scan & follow to watch video tutorials</em>
</td>
<td align="center">
<img src="docs/image/qq.png" alt="QQ群二维码" width="200" height="200"><br>
<strong>QQ技术交流群</strong><br>
<em>技术讨论</em>
<img src="docs/image/qq.png" alt="QQ Group QR Code" width="200" height="200"><br>
<strong>QQ Tech Exchange Group</strong><br>
<em>Technical discussion</em>
</td>
</tr>
@@ -253,11 +246,12 @@ docker-compose -f docker-compose-all.yaml restart [服务名]
</div>
---
<div align="center">
**[点个Star支持一下](https://github.com/ageerle/ruoyi-ai)** • **[ Fork 开始贡献](https://github.com/ageerle/ruoyi-ai/fork)** • **[📚 English](README_EN.md)** • **[📖 查看完整文档](https://doc.ruoyiai.chat/)**
**[⭐ Star to Support](https://github.com/ageerle/ruoyi-ai)** • **[Fork to Contribute](https://github.com/ageerle/ruoyi-ai/fork)** • **[📚 中文](README_ZH.md)** • **[📖 Complete Documentation](https://doc.ruoyiai.chat/)**
*用 ❤️ 打造,由 RuoYi AI 开源社区维护*
*Built with ❤️, maintained by the RuoYi AI open-source community*
</div>

View File

@@ -1,280 +0,0 @@
# RuoYi AI
<div align="center">
[![Contributors][contributors-shield]][contributors-url]
[![Forks][forks-shield]][forks-url]
[![Stargazers][stars-shield]][stars-url]
[![Issues][issues-shield]][issues-url]
[![MIT License][license-shield]][license-url]
<p align="center">
<a href="https://trendshift.io/repositories/13209">
<img src="https://trendshift.io/api/badge/repositories/13209" alt="GitHub Trending">
</a>
</p>
<img src="docs/image/logo.png" alt="RuoYi AI Logo" width="120" height="120">
### Enterprise-Grade AI Assistant Platform
*An out-of-the-box full-stack AI platform supporting multi-agent collaboration, Supervisor mode orchestration, and multiple decision models, with advanced RAG technology and visual workflow orchestration capabilities*
**[中文](README.md)** | **[📖 Documentation](https://doc.ruoyiai.chat/)** |
**[🚀 Live Demo](https://web.ruoyiai.chat/)** | **[🐛 Report Issues](https://github.com/ageerle/ruoyi-ai/issues)** | **[💡 Feature Requests](https://github.com/ageerle/ruoyi-ai/issues)**
</div>
## ✨ Core Features
| Module | Current Capabilities |
|:---:|---|
| **Model Management** | Multi-model integration (OpenAI/DeepSeek/Tongyi/Zhipu/MiniMax), multi-modal understanding, Coze/DIFY/FastGPT platform integration |
| **Knowledge Base** | Local RAG + Vector DB (Milvus/Weaviate/Qdrant) + Document parsing |
| **Tool Management** | MCP protocol integration, Skills capability + Extensible tool ecosystem |
| **Workflow Orchestration** | Visual workflow designer, drag-and-drop node orchestration, SSE streaming execution, currently supports model calls, email sending, manual review nodes |
| **Multi-Agent** | Agent framework based on Langchain4j, Supervisor mode orchestration, supports multiple decision models |
### Project Repositories
| Module | GitHub Repository | Gitee Repository | GitCode Repository |
|----------|-------------------------------------------------------|------------------------------------------------------|--------------------------------------------------------|
| 🔧 Backend | [ruoyi-ai](https://github.com/ageerle/ruoyi-ai) | [ruoyi-ai](https://gitee.com/ageerle/ruoyi-ai) | [ruoyi-ai](https://gitcode.com/ageerle/ruoyi-ai) |
| 🎨 User Frontend | [ruoyi-web](https://github.com/ageerle/ruoyi-web) | [ruoyi-web](https://gitee.com/ageerle/ruoyi-web) | [ruoyi-web](https://gitcode.com/ageerle/ruoyi-web) |
| 🛠️ Admin Panel | [ruoyi-admin](https://github.com/ageerle/ruoyi-admin) | [ruoyi-admin](https://gitee.com/ageerle/ruoyi-admin) | [ruoyi-admin](https://gitcode.com/ageerle/ruoyi-admin) |
| 🎬 Drama | [ruoyi-drama](https://github.com/ageerle/ruoyi-drama) | [ruoyi-drama](https://gitee.com/ageerle/ruoyi-drama) | |
### Partner Projects
| Project Name | GitHub Repository | Gitee Repository |
|----------------|-------------------------------------------------------|------------------------------------------------------|
| element-plus-x | [element-plus-x](https://github.com/element-plus-x/Element-Plus-X) | [element-plus-x](https://gitee.com/he-jiayue/element-plus-x) |
## 🛠️ Technical Architecture
### Core Framework
- **Backend**: Spring Boot 3.5.8 + Langchain4j
- **Data Storage**: MySQL 8.0 + Redis + Vector Databases (Milvus/Weaviate/Qdrant)
- **Frontend**: Vue 3 + Vben Admin + element-plus-x
- **Security**: Sa-Token + JWT dual-layer security
- **Document Processing**: PDF, Word, Excel parsing, intelligent image analysis
- **Real-time Communication**: WebSocket real-time communication, SSE streaming response
- **System Monitoring**: Comprehensive logging system, performance monitoring, service health checks
## 🐳 Docker Deployment
This project provides two Docker deployment methods:
### Method 1: One-click Start All Services (Recommended)
Use `docker-compose-all.yaml` to start all services at once (including backend, admin panel, user frontend, and dependencies):
```bash
# Clone the repository
git clone https://github.com/ageerle/ruoyi-ai.git
cd ruoyi-ai
# Start all services (pull pre-built images from registry)
docker-compose -f docker-compose-all.yaml up -d
# Check service status
docker-compose -f docker-compose-all.yaml ps
# Access services
# Admin Panel: http://localhost:25666 (admin / admin123)
# User Frontend: http://localhost:25137
# Backend API: http://localhost:26039
```
### Method 2: Step-by-step Deployment (Source Build)
If you need to build backend services from source, follow these steps:
#### Step 1: Deploy Backend Service
```bash
# Enter backend project directory
cd ruoyi-ai
# Start backend service (build from source)
docker-compose up -d --build
# Wait for backend service to start
docker-compose logs -f backend
```
#### Step 2: Deploy Admin Panel
```bash
# Enter admin panel project directory
cd ruoyi-admin
# Build and start admin panel
docker-compose up -d --build
# Access admin panel
# URL: http://localhost:5666
```
#### Step 3: Deploy User Frontend (Optional)
```bash
# Enter user frontend project directory
cd ruoyi-web
# Build and start user frontend
docker-compose up -d --build
# Access user frontend
# URL: http://localhost:5137
```
### Service Ports
| Service | One-click Port | Step-by-step Port | Description |
|------|-------------|-------------|------|
| Admin Panel | 25666 | 5666 | Admin backend access |
| User Frontend | 25137 | 5137 | User frontend access |
| Backend Service | 26039 | 6039 | Backend API service |
| MySQL | 23306 | 23306 | Database service |
| Redis | 26379 | 6379 | Cache service |
| Weaviate | 28080 | 28080 | Vector database |
| MinIO API | 29000 | 9000 | Object storage API |
| MinIO Console | 29090 | 9090 | Object storage console |
### Image Registry
All images are hosted on Alibaba Cloud Container Registry:
```
crpi-31mraxd99y2gqdgr.cn-beijing.personal.cr.aliyuncs.com/ruoyi_ai
```
Available images:
- `mysql:v3` - MySQL database (includes initialization SQL)
- `redis:6.2` - Redis cache
- `weaviate:1.30.0` - Vector database
- `minio:latest` - Object storage
- `ruoyi-ai-backend:latest` - Backend service
- `ruoyi-ai-admin:latest` - Admin frontend
- `ruoyi-ai-web:latest` - User frontend
### Common Commands
```bash
# Stop all services
docker-compose -f docker-compose-all.yaml down
# View service logs
docker-compose -f docker-compose-all.yaml logs -f [service-name]
# Restart a service
docker-compose -f docker-compose-all.yaml restart [service-name]
```
## 📚 Documentation
Want to learn more about installation, deployment, configuration, and secondary development?
**👉 [Complete Documentation](https://doc.ruoyiai.chat/)**
## 🤝 Contributing
We warmly welcome community contributions! Whether you are a seasoned developer or just getting started, you can contribute to the project 💪
### How to Contribute
1. **Fork** the project to your account
2. **Create a branch** (`git checkout -b feature/new-feature-name`)
3. **Commit your changes** (`git commit -m 'Add new feature'`)
4. **Push to the branch** (`git push origin feature/new-feature-name`)
5. **Create a Pull Request**
> 💡 **Tip**: We recommend submitting PRs to GitHub, we will automatically sync to other code hosting platforms
## 📄 License
This project is licensed under the **MIT License**. See the [LICENSE](LICENSE) file for details.
## 🙏 Acknowledgments
Thanks to the following excellent open-source projects for their support:
- [Langchain4j](https://github.com/langchain4j/langchain4j) - Powerful Java LLM development framework
- [RuoYi-Vue-Plus](https://gitee.com/dromara/RuoYi-Vue-Plus) - Mature enterprise-level rapid development framework
- [Vben Admin](https://github.com/vbenjs/vue-vben-admin) - Modern Vue admin template
## 💎 Sponsors
**Thanks to the following sponsors for supporting this project:**
<a href="https://www.atlascloud.ai?ref=89F97E">
<img src="docs/image/sponsor/atlascloud_banner.png" alt="Atlas Cloud" width="160" height="80">
</a>
[Visit Atlas Cloud](https://www.atlascloud.ai?ref=89F97E) · [Coding Plan Promotion](https://www.atlascloud.ai/console/coding-plan)
A full-modal AI inference platform that gives developers a unified AI API, supporting video generation, image generation, and LLMs. Connect once to access **300+ curated models**.
<a href="https://www.volcengine.com/activity/codingplan?utm_campaign=hw&utm_content=hw&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ageerle-ruoyi-ai">
<img src="docs/image/sponsor/huoshan.png" alt="Volcengine CodingPlan" width="160" height="80">
</a>
[Volcengine CodingPlan Developer Program](https://www.volcengine.com/activity/codingplan?utm_campaign=hw&utm_content=hw&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ageerle-ruoyi-ai)
Volcengine is ByteDance's cloud and AI service platform. Volcengine Ark provides API access to Doubao LLM, DeepSeek, and more — a one-stop AI development and inference platform for developers.
## 💬 Community Chat
<div align="center">
<table>
<tr>
<td align="center">
<img src="docs/image/wx.png" alt="WeChat QR Code" width="200" height="200"><br>
<strong>Scan to add author on WeChat</strong><br>
<em>Join group for learning</em>
</td>
<td align="center">
<img src="docs/image/qq.png" alt="QQ Group QR Code" width="200" height="200"><br>
<strong>QQ Tech Exchange Group</strong><br>
<em>Technical discussion</em>
</td>
</tr>
</table>
</div>
---
<div align="center">
**[⭐ Star to Support](https://github.com/ageerle/ruoyi-ai)** • **[Fork to Contribute](https://github.com/ageerle/ruoyi-ai/fork)** • **[📚 中文](README.md)** • **[📖 Complete Documentation](https://doc.ruoyiai.chat/)**
*Built with ❤️, maintained by the RuoYi AI open-source community*
</div>
<!-- Badge Links -->
[contributors-shield]: https://img.shields.io/github/contributors/ageerle/ruoyi-ai.svg?style=flat-square
[contributors-url]: https://github.com/ageerle/ruoyi-ai/graphs/contributors
[forks-shield]: https://img.shields.io/github/forks/ageerle/ruoyi-ai.svg?style=flat-square
[forks-url]: https://github.com/ageerle/ruoyi-ai/network/members
[stars-shield]: https://img.shields.io/github/stars/ageerle/ruoyi-ai.svg?style=flat-square
[stars-url]: https://github.com/ageerle/ruoyi-ai/stargazers
[issues-shield]: https://img.shields.io/github/issues/ageerle/ruoyi-ai.svg?style=flat-square
[issues-url]: https://github.com/ageerle/ruoyi-ai/issues
[license-shield]: https://img.shields.io/github/license/ageerle/ruoyi-ai.svg?style=flat-square
[license-url]: https://github.com/ageerle/ruoyi-ai/blob/main/LICENSE

277
README_ZH.md Normal file
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# RuoYi AI
<div align="center">
[![Contributors][contributors-shield]][contributors-url] [![Forks][forks-shield]][forks-url] [![Stargazers][stars-shield]][stars-url] [![Issues][issues-shield]][issues-url] [![MIT License][license-shield]][license-url]
<p align="center">
<a href="https://trendshift.io/repositories/13209">
<img src="https://trendshift.io/api/badge/repositories/13209" alt="GitHub Trending">
</a>
</p>
<img src="docs/image/logo.png" alt="RuoYi AI Logo" width="120" height="120">
### 企业级AI助手平台
*开箱即用的全栈AI平台支持多智能体协同、Supervisor模式编排、多种决策模式、RAG技术和流程编排能力*
**[English](README.md)** | **[📖 使用文档](https://doc.ruoyiai.chat/)** |
**[🚀 在线体验](https://web.ruoyiai.chat/)** | **[🐛 问题反馈](https://github.com/ageerle/ruoyi-ai/issues)** | **[💡 功能建议](https://github.com/ageerle/ruoyi-ai/issues)**
</div>
## 🚀 演示地址
| 服务 | 访问地址 | 默认账号 |
|---|---|---|
| 管理端 | http://129.226.199.247:25666 | admin / admin123 |
| 用户端 | http://129.226.199.247:25137 | admin / admin123 |
| 商业版 | https://web.ruoyiai.chat | 微信扫码登录 |
## ✨ 核心亮点
| 模块 | 现有能力
|:---------:|---
| **模型管理** | 多模型接入(DeepSeek/智谱/MIMO/百炼/OpenAI)、多模态理解、Coze/DIFY/FastGPT/RAGFlow平台集成
| **知识管理** | 本地RAG + 向量库(Milvus/Weaviate/Qdrant) + 文档解析
| **工具管理** | Mcp协议集成、Skills能力 + 可扩展工具生态
| **流程编排** | 可视化工作流设计器、节点拖拽编排、SSE流式执行,目前已经支持模型调用,邮件发送,人工审核等节点
| **智能体管理** | 基于Langchain4j的Agent框架、Supervisor模式编排,支持多种决策模型,可以灵活搭配工具,skills
### 项目源码
| 项目模块 | GitHub 仓库 | Gitee 仓库 | GitCode 仓库 |
|----------|-------------------------------------------------------|------------------------------------------------------|--------------------------------------------------------|
| 🔧 后端服务 | [ruoyi-ai](https://github.com/ageerle/ruoyi-ai) | [ruoyi-ai](https://gitee.com/ageerle/ruoyi-ai) | [ruoyi-ai](https://gitcode.com/ageerle/ruoyi-ai) |
| 🎨 用户前端 | [ruoyi-web](https://github.com/ageerle/ruoyi-web) | [ruoyi-web](https://gitee.com/ageerle/ruoyi-web) | [ruoyi-web](https://gitcode.com/ageerle/ruoyi-web) |
| 🛠️ 管理后台 | [ruoyi-admin](https://github.com/ageerle/ruoyi-admin) | [ruoyi-admin](https://gitee.com/ageerle/ruoyi-admin) | [ruoyi-admin](https://gitcode.com/ageerle/ruoyi-admin) |
| 🎬 短剧平台 | [ruoyi-drama](https://github.com/ageerle/ruoyi-drama) | [ruoyi-drama](https://gitee.com/ageerle/ruoyi-drama) | [ruoyi-drama](https://gitcode.com/ageerle/ruoyi-drama) |
| 🤖 编程助手 | [ruoyi-copilot](https://github.com/ageerle/ruoyi-copilot) | [ruoyi-copilot](https://gitee.com/ageerle/ruoyi-copilot) | [ruoyi-copilot](https://gitcode.com/ageerle/ruoyi-copilot) |
| 📱 小程序端 | [ruoyi-uniapp](https://github.com/ageerle/ruoyi-uniapp) | [ruoyi-uniapp](https://gitee.com/ageerle/ruoyi-uniapp) | [ruoyi-uniapp](https://gitcode.com/ageerle/ruoyi-uniapp) |
### 合作项目
| 项目名称 | GitHub 仓库 | Gitee 仓库
|----------------|-------------------------------------------------------|------------------------------------------------------|
| element-plus-x | [element-plus-x](https://github.com/element-plus-x/Element-Plus-X) | [element-plus-x](https://gitee.com/he-jiayue/element-plus-x) |
## 🛠️ 技术架构
### 核心框架
- **后端架构**Spring Boot 3.5.8 + Langchain4j
- **数据存储**MySQL 8.0 + Redis + 向量数据库Milvus/Weaviate/Qdrant
- **前端技术**Vue 3 + Vben Admin + element-plus-x
- **安全认证**Sa-Token + JWT 双重保障
- **文档处理**PDF、Word、Excel 解析,图像智能分析
- **实时通信**WebSocket 实时通信SSE 流式响应
- **系统监控**:完善的日志体系、性能监控、服务健康检查
## 🐳 Docker 部署
本项目提供两种 Docker 部署方式:
### 方式一:一键启动所有服务(推荐)
使用 `docker-compose-all.yaml` 可以一键启动所有服务(包括后端、管理端、用户端及依赖服务):
```bash
# 环境要求Docker Engine 和 Docker Compose V2
# 克隆 v3.1.0 版本
git clone --depth 1 --branch v3.1.0 https://github.com/ageerle/ruoyi-ai.git
cd ruoyi-ai
# 固定镜像版本。GHCR 镜像已公开,无需 docker login
cp docs/docker/ruoyi-ai/.env.example docs/docker/ruoyi-ai/.env
sed -i 's/^RUIYI_VERSION=.*/RUIYI_VERSION=v3.1.0/' docs/docker/ruoyi-ai/.env
# 从 GHCR 拉取预构建镜像并启动全部服务
docker compose --env-file docs/docker/ruoyi-ai/.env \
-f docs/docker/ruoyi-ai/docker-compose-all.yaml pull
docker compose --env-file docs/docker/ruoyi-ai/.env \
-f docs/docker/ruoyi-ai/docker-compose-all.yaml up -d
# 查看服务状态
docker compose --env-file docs/docker/ruoyi-ai/.env \
-f docs/docker/ruoyi-ai/docker-compose-all.yaml ps
# 访问服务(将 SERVER_IP 替换为服务器地址)
# 管理端: http://SERVER_IP:25666 (admin / admin123)
# 用户端: http://SERVER_IP:25137
# 后端API: http://SERVER_IP:26039
```
默认 Compose 还会发布 MySQL`23306`、Redis`26379`、Weaviate`28080`)和
MinIO`29000`/`29090`)端口。生产环境请修改 MySQL 和 MinIO 默认密码,并通过防火墙或反向代理只开放应用端口。
升级到其他已发布版本时,修改 `docs/docker/ruoyi-ai/.env` 中的 `RUIYI_VERSION`,然后使用相同的
`--env-file``-f` 参数执行 `docker compose pull``docker compose up -d`。除非确定要删除持久化数据卷,
不要执行 `docker compose down -v`
### 方式二:分步部署(源码编译)
如果您需要从源码构建后端服务,请按照以下步骤操作:
#### 第一步:部署后端服务
```bash
# 进入后端项目目录
cd ruoyi-ai
# 启动后端服务(源码编译构建)
docker-compose up -d --build
# 等待后端服务启动完成
docker-compose logs -f backend
```
#### 第二步:部署管理端
```bash
# 进入管理端项目目录
cd ruoyi-admin
# 构建并启动管理端
docker-compose up -d --build
# 访问管理端
# 地址: http://localhost:5666
```
#### 第三步:部署用户端(可选)
```bash
# 进入用户端项目目录
cd ruoyi-web
# 构建并启动用户端
docker-compose up -d --build
# 访问用户端
# 地址: http://localhost:5137
```
### 服务端口说明
| 服务 | 一键启动端口 | 分步部署端口 | 说明 |
|------|-------------|-------------|------|
| 管理端 | 25666 | 5666 | 管理后台访问地址 |
| 用户端 | 25137 | 5137 | 用户前端访问地址 |
| 后端服务 | 26039 | 6039 | 后端 API 服务 |
| MySQL | 23306 | 23306 | 数据库服务 |
| Redis | 26379 | 6379 | 缓存服务 |
| Weaviate | 28080 | 28080 | 向量数据库 |
| MinIO API | 29000 | 9000 | 对象存储 API |
| MinIO Console | 29090 | 9090 | 对象存储控制台 |
## 📚 使用文档
想要深入了解安装部署、功能配置和二次开发?
**👉 [完整使用文档](https://doc.ruoyiai.chat/)**
## 🤝 参与贡献
我们热烈欢迎社区贡献!无论您是资深开发者还是初学者,都可以为项目贡献力量 💪
### 贡献方式
1. **Fork** 项目到您的账户
2. **创建分支** (`git checkout -b feature/新功能名称`)
3. **提交代码** (`git commit -m '添加某某功能'`)
4. **推送分支** (`git push origin feature/新功能名称`)
5. **发起 Pull Request**
> 💡 **小贴士**:建议将 PR 提交到 GitHub我们会自动同步到其他代码托管平台
## 📄 开源协议
本项目采用 **MIT 开源协议**,详情请查看 [LICENSE](LICENSE) 文件。
## 🙏 特别鸣谢
感谢以下优秀的开源项目为本项目提供支持:
- [Langchain4j](https://github.com/langchain4j/langchain4j) - 强大的 Java LLM 开发框架
- [RuoYi-Vue-Plus](https://gitee.com/dromara/RuoYi-Vue-Plus) - 成熟的企业级快速开发框架
- [Vben Admin](https://github.com/vbenjs/vue-vben-admin) - 现代化的 Vue 后台管理模板
## 💎 赞助商
**感谢以下赞助商对本项目的支持:**
<a href="https://www.atlascloud.ai?ref=89F97E">
<img src="docs/image/sponsor/atlascloud_banner.png" alt="Atlas Cloud" width="160" height="80">
</a>
[访问Atlas Cloud官网](https://www.atlascloud.ai?ref=89F97E&utm_source=github&utm_campaign=ruoyi-drama) · [编程计划优惠](https://www.atlascloud.ai/console/coding-plan)
全模态 AI 推理平台,为开发者提供统一的 AI API支持视频生成、图像生成和大语言模型。一次接入即可访问 **300+ 精选模型**
<a href="https://www.volcengine.com/activity/codingplan?utm_campaign=hw&utm_content=hw&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ageerle-ruoyi-ai">
<img src="docs/image/sponsor/huoshan.png" alt="火山引擎 CodingPlan" width="160" height="80">
</a>
[注册即领2500万Tokens立即前往](https://www.volcengine.com/activity/ai618?utm_campaign=hw&utm_content=hw&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ageerle-ruoyi-ai)
享字节自研豆包模型+满血版开源 SOTA模型覆盖文本、VLM、图像生成全模态一站配齐Seed-2.1、Seedream-5.0、GLM-5.2、DeepSeek等。不止编程、更能解决 Agent 复杂长程任务!
## 💬 社区交流
<div align="center">
<table>
<tr>
<td align="center">
<img src="docs/image/wx.png" alt="微信二维码" width="200" height="200"><br>
<strong>扫码添加作者微信</strong><br>
<em>邀请进群学习</em>
</td>
<td align="center">
<img src="docs/image/douyin.png" alt="抖音二维码" width="200" height="200"><br>
<strong>抖音视频教程</strong><br>
<em>打开抖音扫一扫,关注查看视频教程</em>
</td>
<td align="center">
<img src="docs/image/qq.png" alt="QQ群二维码" width="200" height="200"><br>
<strong>QQ技术交流群</strong><br>
<em>技术讨论</em>
</td>
</tr>
</table>
</div>
---
<div align="center">
**[⭐ 点个Star支持一下](https://github.com/ageerle/ruoyi-ai)** • **[ Fork 开始贡献](https://github.com/ageerle/ruoyi-ai/fork)** • **[📚 English](README.md)** • **[📖 查看完整文档](https://doc.ruoyiai.chat/)**
*用 ❤️ 打造,由 RuoYi AI 开源社区维护*
</div>
<!-- Badge Links -->
[contributors-shield]: https://img.shields.io/github/contributors/ageerle/ruoyi-ai.svg?style=flat-square
[contributors-url]: https://github.com/ageerle/ruoyi-ai/graphs/contributors
[forks-shield]: https://img.shields.io/github/forks/ageerle/ruoyi-ai.svg?style=flat-square
[forks-url]: https://github.com/ageerle/ruoyi-ai/network/members
[stars-shield]: https://img.shields.io/github/stars/ageerle/ruoyi-ai.svg?style=flat-square
[stars-url]: https://github.com/ageerle/ruoyi-ai/stargazers
[issues-shield]: https://img.shields.io/github/issues/ageerle/ruoyi-ai.svg?style=flat-square
[issues-url]: https://github.com/ageerle/ruoyi-ai/issues
[license-shield]: https://img.shields.io/github/license/ageerle/ruoyi-ai.svg?style=flat-square
[license-url]: https://github.com/ageerle/ruoyi-ai/blob/main/LICENSE

View File

@@ -1,8 +1,6 @@
version: '3.5'
services:
etcd:
container_name: milvus-etcd
container_name: ruoyi-rag-milvus-etcd
image: quay.io/coreos/etcd:v3.5.18
environment:
- ETCD_AUTO_COMPACTION_MODE=revision
@@ -19,14 +17,11 @@ services:
retries: 3
minio:
container_name: milvus-minio
container_name: ruoyi-rag-milvus-minio
image: minio/minio:RELEASE.2023-03-20T20-16-18Z
environment:
MINIO_ACCESS_KEY: minioadmin
MINIO_SECRET_KEY: minioadmin
ports:
- "9001:9001"
- "9000:9000"
volumes:
- ${DOCKER_VOLUME_DIRECTORY:-.}/volumes/minio:/minio_data
command: minio server /minio_data --console-address ":9001"
@@ -37,7 +32,7 @@ services:
retries: 3
standalone:
container_name: milvus-standalone
container_name: ruoyi-rag-milvus
image: milvusdb/milvus:v2.5.7
command: ["milvus", "run", "standalone"]
security_opt:
@@ -61,7 +56,7 @@ services:
- "minio"
attu:
container_name: attu
container_name: ruoyi-rag-attu
image: zilliz/attu:v2.5.7
environment:
MILVUS_URL: milvus-standalone:19530
@@ -72,4 +67,4 @@ services:
networks:
default:
name: milvus
name: ruoyi-rag-milvus

View File

@@ -1,12 +1,20 @@
---
services:
qdrant:
image: qdrant/qdrant:latest
container_name: ruoyi-rag-qdrant
image: qdrant/qdrant:v1.17.0
ports:
- 6333:6333
- 6334:6334
volumes:
- qdrant_data:/qdrant/storage
healthcheck:
test: ["CMD-SHELL", "bash -c 'exec 3<>/dev/tcp/127.0.0.1/6333 && printf \"GET /healthz HTTP/1.1\\r\\nHost: localhost\\r\\nConnection: close\\r\\n\\r\\n\" >&3 && grep -q \"200 OK\" <&3'"]
interval: 10s
timeout: 5s
retries: 12
start_period: 10s
restart: unless-stopped
volumes:
qdrant_data:
...

View File

@@ -0,0 +1,6 @@
# GitHub Container Registry namespace owner.
# For the upstream project this is ageerle; change it when using a fork.
IMAGE_OWNER=ageerle
# Use latest for convenience, or pin a release such as v3.1.0.
RUIYI_VERSION=latest

View File

@@ -1,16 +1,14 @@
# 基于官方MySQL 8.0镜像构建自定义镜像
# 构建命令: docker build -t registry.cn-hangzhou.aliyuncs.com/ruoyi-ai/mysql:v3 -f Dockerfile.mysql .
FROM mysql:8.0.33
FROM mysql:8.0
# 设置时区
ENV TZ=Asia/Shanghai
# 复制初始化脚本和SQL文件到镜像中
COPY docs/script/docker/mysql/init/init-db.sh /docker-entrypoint-initdb.d/init-db.sh
COPY docs/script/sql/ruoyi-ai-v3_mysql8.sql /docker-entrypoint-initdb.d/ruoyi-ai-v3_mysql8.sql
# 设置脚本可执行权限
RUN chmod +x /docker-entrypoint-initdb.d/init-db.sh
# MySQL 官方入口会按文件名顺序执行初始化目录中的 SQL。
# ruoyi-ai.sql 会导入 MYSQL_DATABASEsnail_job_mysql.sql 会自行创建并切换数据库。
COPY docs/script/sql/ruoyi-ai.sql /docker-entrypoint-initdb.d/01-ruoyi-ai.sql
COPY docs/script/sql/snail_job_mysql.sql /docker-entrypoint-initdb.d/02-snail-job.sql
# MySQL启动参数
CMD ["--default-authentication-plugin=mysql_native_password", \
@@ -18,4 +16,4 @@ CMD ["--default-authentication-plugin=mysql_native_password", \
"--collation-server=utf8mb4_general_ci", \
"--explicit_defaults_for_timestamp=true", \
"--lower_case_table_names=1", \
"--skip-ssl"]
"--skip-ssl"]

View File

@@ -10,15 +10,13 @@
# - RuoYi-Admin (管理端前端)
# - RuoYi-Web (用户端前端)
#
# 镜像仓库地址: crpi-31mraxd99y2gqdgr.cn-beijing.personal.cr.aliyuncs.com/ruoyi_ai
version: '3.8'
# 镜像仓库地址: ghcr.io/ageerle
services:
# ==================== MySQL 数据库 ====================
mysql:
# 阿里云镜像地址包含初始化SQL
image: crpi-31mraxd99y2gqdgr.cn-beijing.personal.cr.aliyuncs.com/ruoyi_ai/mysql:v3
# GHCR 镜像包含初始化SQL
image: ghcr.io/${IMAGE_OWNER:-ageerle}/ruoyi-ai-mysql:${RUIYI_VERSION:-latest}
container_name: ruoyi-ai-mysql
restart: always
ports:
@@ -30,7 +28,10 @@ services:
volumes:
- mysql-data:/var/lib/mysql
healthcheck:
test: ["CMD", "mysqladmin", "ping", "-h", "localhost", "-u", "root", "-proot"]
# Force TCP: during first-time initialization MySQL exposes a temporary
# socket-only server. A socket ping would mark the service healthy before
# the real network listener (used by the backend) is ready.
test: ["CMD", "mysqladmin", "ping", "--protocol=tcp", "-h", "127.0.0.1", "-u", "root", "-proot"]
interval: 15s
timeout: 10s
retries: 10
@@ -40,7 +41,7 @@ services:
# ==================== Redis 缓存 ====================
redis:
image: crpi-31mraxd99y2gqdgr.cn-beijing.personal.cr.aliyuncs.com/ruoyi_ai/redis:6.2
image: redis:6.2
container_name: ruoyi-ai-redis
restart: always
ports:
@@ -58,7 +59,7 @@ services:
# ==================== Weaviate 向量数据库 ====================
weaviate:
image: crpi-31mraxd99y2gqdgr.cn-beijing.personal.cr.aliyuncs.com/ruoyi_ai/weaviate:1.30.0
image: semitechnologies/weaviate:1.30.0
container_name: ruoyi-ai-weaviate
restart: always
ports:
@@ -77,7 +78,7 @@ services:
# ==================== MinIO 对象存储 ====================
minio:
image: crpi-31mraxd99y2gqdgr.cn-beijing.personal.cr.aliyuncs.com/ruoyi_ai/minio:latest
image: minio/minio:latest
container_name: ruoyi-ai-minio
restart: always
ports:
@@ -94,7 +95,7 @@ services:
# ==================== RuoYi-AI 后端服务 ====================
backend:
image: crpi-31mraxd99y2gqdgr.cn-beijing.personal.cr.aliyuncs.com/ruoyi_ai/ruoyi-ai-backend:latest
image: ghcr.io/${IMAGE_OWNER:-ageerle}/ruoyi-ai-backend:${RUIYI_VERSION:-latest}
container_name: ruoyi-ai-backend
restart: always
ports:
@@ -128,7 +129,7 @@ services:
# ==================== RuoYi-AI 管理端前端 ====================
admin-frontend:
image: crpi-31mraxd99y2gqdgr.cn-beijing.personal.cr.aliyuncs.com/ruoyi_ai/ruoyi-ai-admin:latest
image: ghcr.io/${IMAGE_OWNER:-ageerle}/ruoyi-ai-admin:${RUIYI_VERSION:-latest}
container_name: ruoyi-ai-admin
restart: always
ports:
@@ -153,7 +154,7 @@ services:
# ==================== RuoYi-AI 用户端前端 ====================
web-frontend:
image: crpi-31mraxd99y2gqdgr.cn-beijing.personal.cr.aliyuncs.com/ruoyi_ai/ruoyi-ai-web:latest
image: ghcr.io/${IMAGE_OWNER:-ageerle}/ruoyi-ai-web:${RUIYI_VERSION:-latest}
container_name: ruoyi-ai-web
restart: always
ports:
@@ -177,4 +178,4 @@ volumes:
weaviate-data:
minio-data:
logs-data:
upload-data:
upload-data:

View File

@@ -21,8 +21,8 @@ services:
MYSQL_DATABASE: ruoyi-ai-agent
TZ: Asia/Shanghai
volumes:
- ./docs/script/docker/mysql/init/init-db.sh:/docker-entrypoint-initdb.d/init-db.sh:ro
- ./docs/script/sql/ruoyi-ai-v3_mysql8.sql:/docker-entrypoint-initdb.d/ruoyi-ai-v3_mysql8.sql:ro
- ../../script/sql/ruoyi-ai.sql:/docker-entrypoint-initdb.d/01-ruoyi-ai.sql:ro
- ../../script/sql/snail_job_mysql.sql:/docker-entrypoint-initdb.d/02-snail-job.sql:ro
- mysql-data:/var/lib/mysql
command:
--default-authentication-plugin=mysql_native_password
@@ -32,7 +32,9 @@ services:
--lower_case_table_names=1
--skip-ssl
healthcheck:
test: ["CMD", "mysqladmin", "ping", "-h", "localhost", "-u", "root", "-proot"]
# Do not let the socket-only initialization server satisfy the check.
# The backend connects over TCP and must wait for that listener.
test: ["CMD", "mysqladmin", "ping", "--protocol=tcp", "-h", "127.0.0.1", "-u", "root", "-proot"]
interval: 15s
timeout: 10s
retries: 10

View File

@@ -5,12 +5,12 @@ services:
- --host
- 0.0.0.0
- --port
- '6038'
- '8080'
- --scheme
- http
image: semitechnologies/weaviate:1.19.7
image: semitechnologies/weaviate:1.30.0
ports:
- 6038:6038
- 28080:8080
- 50051:50051
volumes:
- weaviate_data:/var/lib/weaviate

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@@ -0,0 +1,58 @@
-- RAG metadata migration (MySQL 8). Safe to execute repeatedly.
-- 注意MySQL 8 不支持 ALTER TABLE ... ADD COLUMN IF NOT EXISTS仅 MariaDB 支持),
-- 因此列的增量添加统一用 information_schema 守卫 + PREPARE 实现幂等。
SET @add_file_hash_col = IF(EXISTS(
SELECT 1 FROM information_schema.columns WHERE table_schema = DATABASE()
AND table_name = 'knowledge_attach' AND column_name = 'file_hash'),
'SELECT 1',
'ALTER TABLE `knowledge_attach` ADD COLUMN `file_hash` varchar(64) NULL DEFAULT NULL COMMENT ''文件SHA-256摘要'' AFTER `doc_id`');
PREPARE stmt FROM @add_file_hash_col; EXECUTE stmt; DEALLOCATE PREPARE stmt;
ALTER TABLE `knowledge_attach`
MODIFY COLUMN `doc_id` varchar(32) NULL DEFAULT NULL COMMENT '文档ID';
SET @add_file_hash = IF(EXISTS(
SELECT 1 FROM information_schema.statistics WHERE table_schema = DATABASE()
AND table_name = 'knowledge_attach' AND index_name = 'uk_knowledge_file_hash'),
'SELECT 1', 'ALTER TABLE `knowledge_attach` ADD UNIQUE INDEX `uk_knowledge_file_hash` (`knowledge_id`, `file_hash`)');
PREPARE stmt FROM @add_file_hash; EXECUTE stmt; DEALLOCATE PREPARE stmt;
SET @add_fid_col = IF(EXISTS(
SELECT 1 FROM information_schema.columns WHERE table_schema = DATABASE()
AND table_name = 'knowledge_fragment' AND column_name = 'fid'),
'SELECT 1',
'ALTER TABLE `knowledge_fragment` ADD COLUMN `fid` varchar(32) NULL DEFAULT NULL COMMENT ''向量库片段ID'' AFTER `id`');
PREPARE stmt FROM @add_fid_col; EXECUTE stmt; DEALLOCATE PREPARE stmt;
ALTER TABLE `knowledge_fragment`
MODIFY COLUMN `doc_id` varchar(32) NULL DEFAULT NULL COMMENT '文档ID';
UPDATE `knowledge_fragment`
SET `fid` = LOWER(MD5(CONCAT('knowledge_fragment:', `id`)))
WHERE `fid` IS NULL OR `fid` = '';
SET @drop_idx_fid = IF(EXISTS(
SELECT 1 FROM information_schema.statistics WHERE table_schema = DATABASE()
AND table_name = 'knowledge_fragment' AND index_name = 'idx_fid'),
'ALTER TABLE `knowledge_fragment` DROP INDEX `idx_fid`', 'SELECT 1');
PREPARE stmt FROM @drop_idx_fid; EXECUTE stmt; DEALLOCATE PREPARE stmt;
SET @add_uk_fid = IF(EXISTS(
SELECT 1 FROM information_schema.statistics WHERE table_schema = DATABASE()
AND table_name = 'knowledge_fragment' AND index_name = 'uk_fid'),
'SELECT 1', 'ALTER TABLE `knowledge_fragment` ADD UNIQUE INDEX `uk_fid` (`fid`)');
PREPARE stmt FROM @add_uk_fid; EXECUTE stmt; DEALLOCATE PREPARE stmt;
ALTER TABLE `knowledge_fragment` MODIFY COLUMN `fid` varchar(32) NOT NULL COMMENT '向量库片段ID';
SET @add_tenant_user = IF(EXISTS(
SELECT 1 FROM information_schema.statistics WHERE table_schema = DATABASE()
AND table_name = 'knowledge_info' AND index_name = 'idx_tenant_user'),
'SELECT 1', 'ALTER TABLE `knowledge_info` ADD INDEX `idx_tenant_user` (`tenant_id`, `user_id`)');
PREPARE stmt FROM @add_tenant_user; EXECUTE stmt; DEALLOCATE PREPARE stmt;
SET @add_tenant_share = IF(EXISTS(
SELECT 1 FROM information_schema.statistics WHERE table_schema = DATABASE()
AND table_name = 'knowledge_info' AND index_name = 'idx_tenant_share'),
'SELECT 1', 'ALTER TABLE `knowledge_info` ADD INDEX `idx_tenant_share` (`tenant_id`, `share`)');
PREPARE stmt FROM @add_tenant_share; EXECUTE stmt; DEALLOCATE PREPARE stmt;

View File

@@ -0,0 +1,7 @@
-- 加宽 chat_provider.provider_icon 字段 (对应 issue IHPUDA)
-- 背景:文件系统使用 minio 私有桶时,厂商图标存的是带签名的临时访问 URL
-- 长度常超过 255导致「Data too long for column 'provider_icon'」。
-- MODIFY COLUMN 可重复执行。
ALTER TABLE `chat_provider`
MODIFY COLUMN `provider_icon` varchar(1000) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '厂商图标';

View File

@@ -0,0 +1,33 @@
-- 补充工作流节点消息模板配置 (对应 issue IJX5VV)
-- 背景NodeMessageTemplateEnum 依赖以下 7 个 sys_config 键,缺失时
-- WorkflowMessageUtil.getNodeMessageTemplate 会抛出「请先配置该节点的响应模板」。
-- 这批配置在历史提交 20d531c0 中存在SQL 脚本合并重命名时遗失,此处恢复。
-- 幂等:按 config_key + tenant_id 判重,可重复执行。
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027192921483309058, '000000', 'HTTP请求节点响应模板', 'node.httpRequest.template', '✅ HTTP请求节点结束响应 - ', 'Y', 103, 1, '2026-02-27 09:23:51', 1, '2026-02-27 09:31:41', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.httpRequest.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027193296990957569, '000000', '文生图节点响应模板', 'node.image.template', '🎨 文生图节点:结束响应 - 图片URL: ', 'Y', 103, 1, '2026-02-27 09:25:20', 1, '2026-02-27 09:31:52', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.image.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027193820393959425, '000000', '发送邮箱节点响应模板', 'node.mailsend.template', '📧 发送邮箱节点:结束响应 - ', 'Y', 103, 1, '2026-02-27 09:27:25', 1, '2026-02-27 09:32:05', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.mailsend.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027194134438277122, '000000', '结束节点响应模板', 'node.end.template', '🔚 流程已执行完毕,如果您有其他需求,请随时重新发起请求。', 'Y', 103, 1, '2026-02-27 09:28:40', 1, '2026-02-27 09:32:53', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.end.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027208880369647617, '000000', '条件分支节点响应模板', 'node.switch.template', '🔀 条件分支节点:触发 -> 跳转到节点 ', 'Y', 103, 1, '2026-02-27 10:27:15', 1, '2026-02-27 10:35:54', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.switch.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027213914603995137, '000000', '大模型回答节点响应模板', 'node.llmAnswer.template', '🤖 LLM 节点 生成回答:', 'Y', 103, 1, '2026-02-27 10:47:16', 1, '2026-02-27 10:52:40', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.llmAnswer.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027217577397391361, '000000', '工作流异常响应模板', 'node.exception.template', '🛑 工作流发生异常:', 'N', 103, 1, '2026-02-27 11:01:49', 1, '2026-02-27 11:02:01', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.exception.template' AND `tenant_id` = '000000');

View File

@@ -0,0 +1,119 @@
-- 注册链路修复:补齐缺失的菜单权限标识 + 新建注册默认角色
-- 关联问题:
-- #3 注册用户无默认角色 -> 无权限访问 AI 对话界面
-- #4 sys_menu 缺 system:session:* / system:attach:* / system:fragment:*
-- 且 知识管理 父菜单 perms 为 knowledge:info:list与控制器
-- KnowledgeInfoController 用的 system:info:list 对不上,:list 无法授权。
-- 本脚本幂等可重复执行INSERT IGNORE + UPDATE 天然幂等)。
-- 新增 menu_id / role_id / config_id 统一使用 2099010100000000xxx 段,
-- 与现有 snowflake id2xxxxxxxxxxxxxxxxx不冲突。
-- ============================================================
-- 1. 修正 知识管理 父菜单权限标识knowledge:info:list -> system:info:list
-- ============================================================
UPDATE `sys_menu`
SET `perms` = 'system:info:list'
WHERE `menu_id` = 2006681261898813441 AND `perms` = 'knowledge:info:list';
-- ============================================================
-- 2. 新增 会话管理 菜单组system:session:*
-- 父菜单=对话管理(2000209300188356609)。
-- 管理端暂无 chat/session 页面,故 C 菜单设为隐藏(visible=1)
-- 权限标识仍可在角色管理中授权给用户端使用。
-- ============================================================
INSERT IGNORE INTO `sys_menu` VALUES
(2099010100000000001, '会话管理', 2000209300188356609, 6, 'session', NULL, NULL, 1, 0, 'C', '1', '0', 'system:session:list', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, '会话管理菜单'),
(2099010100000000002, '会话管理查询', 2099010100000000001, 1, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:session:query', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, ''),
(2099010100000000003, '会话管理新增', 2099010100000000001, 2, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:session:add', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, ''),
(2099010100000000004, '会话管理修改', 2099010100000000001, 3, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:session:edit', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, ''),
(2099010100000000005, '会话管理删除', 2099010100000000001, 4, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:session:remove', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, ''),
(2099010100000000006, '会话管理导出', 2099010100000000001, 5, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:session:export', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, '');
-- ============================================================
-- 3. 新增 知识附件 菜单组system:attach:*
-- 父菜单=对话管理(2000209300188356609),组件对应管理端 knowledge/attach/index。
-- ============================================================
INSERT IGNORE INTO `sys_menu` VALUES
(2099010100000000010, '知识附件', 2000209300188356609, 7, 'attach', 'knowledge/attach/index', NULL, 1, 0, 'C', '0', '0', 'system:attach:list', 'ant-design:paper-clip-outlined', 103, 1, '2026-07-24 00:00:00', NULL, NULL, '知识附件菜单'),
(2099010100000000011, '知识附件查询', 2099010100000000010, 1, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:attach:query', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, ''),
(2099010100000000012, '知识附件新增', 2099010100000000010, 2, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:attach:add', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, ''),
(2099010100000000013, '知识附件修改', 2099010100000000010, 3, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:attach:edit', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, ''),
(2099010100000000014, '知识附件删除', 2099010100000000010, 4, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:attach:remove', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, ''),
(2099010100000000015, '知识附件导出', 2099010100000000010, 5, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:attach:export', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, '');
-- ============================================================
-- 4. 新增 知识片段 菜单组system:fragment:*
-- 父菜单=对话管理(2000209300188356609),组件对应管理端 knowledge/fragment/index。
-- ============================================================
INSERT IGNORE INTO `sys_menu` VALUES
(2099010100000000020, '知识片段', 2000209300188356609, 8, 'fragment', 'knowledge/fragment/index', NULL, 1, 0, 'C', '0', '0', 'system:fragment:list', 'ant-design:file-text-outlined', 103, 1, '2026-07-24 00:00:00', NULL, NULL, '知识片段菜单'),
(2099010100000000021, '知识片段查询', 2099010100000000020, 1, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:fragment:query', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, ''),
(2099010100000000022, '知识片段新增', 2099010100000000020, 2, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:fragment:add', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, ''),
(2099010100000000023, '知识片段修改', 2099010100000000020, 3, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:fragment:edit', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, ''),
(2099010100000000024, '知识片段删除', 2099010100000000020, 4, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:fragment:remove', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, ''),
(2099010100000000025, '知识片段导出', 2099010100000000020, 5, '#', '', NULL, 1, 0, 'F', '0', '0', 'system:fragment:export', '#', 103, 1, '2026-07-24 00:00:00', NULL, NULL, '');
-- ============================================================
-- 5. 新建 普通用户 角色(租户 000000data_scope=5 仅本人)
-- ============================================================
INSERT IGNORE INTO `sys_role` VALUES
(2099010100000000030, '000000', '普通用户', 'user', 2, '5', 1, 1, '0', '0', 103, 1, '2026-07-24 00:00:00', NULL, NULL, '注册用户默认角色');
-- ============================================================
-- 6. 角色-菜单关联:普通用户 拥有用户端 AI 对话所需权限
-- 会话管理(001-006) + 聊天消息(2000210914680823809 及 810-814)
-- + 知识管理(2006681261898813441 及 442-446)
-- + 知识附件(010-015) + 知识片段(020-025)
-- ============================================================
INSERT IGNORE INTO `sys_role_menu` (`role_id`, `menu_id`) VALUES
-- 会话管理
(2099010100000000030, 2099010100000000001),
(2099010100000000030, 2099010100000000002),
(2099010100000000030, 2099010100000000003),
(2099010100000000030, 2099010100000000004),
(2099010100000000030, 2099010100000000005),
(2099010100000000030, 2099010100000000006),
-- 聊天消息
(2099010100000000030, 2000210914680823809),
(2099010100000000030, 2000210914680823810),
(2099010100000000030, 2000210914680823811),
(2099010100000000030, 2000210914680823812),
(2099010100000000030, 2000210914680823813),
(2099010100000000030, 2000210914680823814),
-- 知识管理
(2099010100000000030, 2006681261898813441),
(2099010100000000030, 2006681261898813442),
(2099010100000000030, 2006681261898813443),
(2099010100000000030, 2006681261898813444),
(2099010100000000030, 2006681261898813445),
(2099010100000000030, 2006681261898813446),
-- 知识附件
(2099010100000000030, 2099010100000000010),
(2099010100000000030, 2099010100000000011),
(2099010100000000030, 2099010100000000012),
(2099010100000000030, 2099010100000000013),
(2099010100000000030, 2099010100000000014),
(2099010100000000030, 2099010100000000015),
-- 知识片段
(2099010100000000030, 2099010100000000020),
(2099010100000000030, 2099010100000000021),
(2099010100000000030, 2099010100000000022),
(2099010100000000030, 2099010100000000023),
(2099010100000000030, 2099010100000000024),
(2099010100000000030, 2099010100000000025);
-- ============================================================
-- 7. 注册默认角色配置项 sys.register.defaultRoleId
-- 后端 SysRegisterService 注册成功后读取此配置为新用户绑定角色;
-- 值为空字符串时不绑定(保留旧行为)。
-- ============================================================
INSERT IGNORE INTO `sys_config` VALUES
(2099010100000000031, '000000', '注册-默认角色ID', 'sys.register.defaultRoleId', '2099010100000000030', 'Y', 103, 1, '2026-07-24 00:00:00', NULL, NULL, '新注册用户绑定的默认角色ID留空则不绑定');
-- ============================================================
-- 8. 前置条件(运营项,默认不执行):开启用户注册
-- sys.account.registerUser 默认 false后端 AuthController.register
-- 会据此返回「当前系统没有开启注册功能」。若要开放注册,取消注释执行。
-- ============================================================
-- UPDATE `sys_config` SET `config_value` = 'true'
-- WHERE `config_key` = 'sys.account.registerUser' AND `tenant_id` = '000000';

View File

@@ -0,0 +1,39 @@
-- 一次性补全工作流节点消息模板配置 (NodeMessageTemplateEnum 全部 8 个键)
-- 背景:节点执行时 WorkflowMessageUtil.getNodeMessageTemplate 从 sys_config 读取展示模板,
-- 历史库中这批配置缺失, 导致运行工作流抛「请先配置该节点的响应模板」。
-- 其中前 7 个见 2026-07-21-sys-config-node-template.sql,
-- Google Search 为此前从未入库的节点模板。
-- 说明:代码已增加内置默认模板兜底, 本脚本为可选, 执行后模板可在 系统管理-配置管理 中自定义。
-- 幂等:按 config_key + tenant_id 判重, 可重复执行。
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027192921483309058, '000000', 'HTTP请求节点响应模板', 'node.httpRequest.template', '✅ HTTP请求节点结束响应 - ', 'Y', 103, 1, '2026-02-27 09:23:51', 1, '2026-02-27 09:31:41', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.httpRequest.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027193296990957569, '000000', '文生图节点响应模板', 'node.image.template', '🎨 文生图节点:结束响应 - 图片URL: ', 'Y', 103, 1, '2026-02-27 09:25:20', 1, '2026-02-27 09:31:52', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.image.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027193820393959425, '000000', '发送邮箱节点响应模板', 'node.mailsend.template', '📧 发送邮箱节点:结束响应 - ', 'Y', 103, 1, '2026-02-27 09:27:25', 1, '2026-02-27 09:32:05', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.mailsend.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027194134438277122, '000000', '结束节点响应模板', 'node.end.template', '🔚 流程已执行完毕,如果您有其他需求,请随时重新发起请求。', 'Y', 103, 1, '2026-02-27 09:28:40', 1, '2026-02-27 09:32:53', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.end.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027208880369647617, '000000', '条件分支节点响应模板', 'node.switch.template', '🔀 条件分支节点:触发 -> 跳转到节点 ', 'Y', 103, 1, '2026-02-27 10:27:15', 1, '2026-02-27 10:35:54', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.switch.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027213914603995137, '000000', '大模型回答节点响应模板', 'node.llmAnswer.template', '🤖 LLM 节点 生成回答:', 'Y', 103, 1, '2026-02-27 10:47:16', 1, '2026-02-27 10:52:40', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.llmAnswer.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2027217577397391361, '000000', '工作流异常响应模板', 'node.exception.template', '🛑 工作流发生异常:', 'N', 103, 1, '2026-02-27 11:01:49', 1, '2026-02-27 11:02:01', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.exception.template' AND `tenant_id` = '000000');
INSERT INTO `sys_config` (`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`, `config_type`, `create_dept`, `create_by`, `create_time`, `update_by`, `update_time`, `remark`)
SELECT 2084157200000000003, '000000', '网络搜索节点响应模板', 'node.googleSearch.template', '🔍 网络搜索节点处理完成:', 'Y', 103, 1, '2026-07-29 19:40:00', 1, '2026-07-29 19:40:00', NULL
FROM DUAL WHERE NOT EXISTS (SELECT 1 FROM `sys_config` WHERE `config_key` = 'node.googleSearch.template' AND `tenant_id` = '000000');

View File

@@ -0,0 +1,66 @@
-- 智谱 Web Search 工作流扩展节点
-- 内部组件名继续使用 Google以兼容现有前端组件和已保存流程。
UPDATE `t_workflow_component`
SET `title` = '网络搜索',
`remark` = '调用智谱 Web Search 检索互联网信息',
`display_order` = 40,
`is_enable` = 1,
`is_deleted` = 0,
`update_time` = NOW()
WHERE `name` = 'Google'
AND `tenant_id` = '000000';
INSERT INTO `t_workflow_component`
(`uuid`, `name`, `title`, `remark`, `display_order`, `is_enable`,
`create_time`, `update_time`, `is_deleted`, `tenant_id`)
SELECT
'a7f8c2d44e5b4c83a9d6f103c2b47e18',
'Google',
'网络搜索',
'调用智谱 Web Search 检索互联网信息',
40,
1,
NOW(),
NOW(),
0,
'000000'
FROM DUAL
WHERE NOT EXISTS (
SELECT 1
FROM `t_workflow_component`
WHERE `name` = 'Google'
AND `tenant_id` = '000000'
);
UPDATE `sys_config`
SET `config_name` = '网络搜索节点响应模板',
`config_value` = '🔍 网络搜索节点处理完成:',
`update_time` = NOW()
WHERE `config_key` = 'node.googleSearch.template'
AND `tenant_id` = '000000';
INSERT INTO `sys_config`
(`config_id`, `tenant_id`, `config_name`, `config_key`, `config_value`,
`config_type`, `create_dept`, `create_by`, `create_time`, `update_by`,
`update_time`, `remark`)
SELECT
2084157200000000003,
'000000',
'网络搜索节点响应模板',
'node.googleSearch.template',
'🔍 网络搜索节点处理完成:',
'Y',
103,
1,
NOW(),
1,
NOW(),
'智谱 Web Search 工作流扩展节点'
FROM DUAL
WHERE NOT EXISTS (
SELECT 1
FROM `sys_config`
WHERE `config_key` = 'node.googleSearch.template'
AND `tenant_id` = '000000'
);

View File

@@ -0,0 +1,128 @@
-- 链路追踪运行记录表
CREATE TABLE IF NOT EXISTS `trace_run` (
`id` bigint NOT NULL COMMENT '主键',
`trace_id` varchar(64) NOT NULL COMMENT '链路ID',
`trace_name` varchar(128) NOT NULL COMMENT '链路名称',
`business_type` varchar(64) NOT NULL COMMENT '业务类型',
`business_id` varchar(128) DEFAULT NULL COMMENT '业务ID',
`user_id` bigint DEFAULT NULL COMMENT '用户ID',
`tenant_id` varchar(20) DEFAULT '000000' COMMENT '租户编号',
`status` varchar(32) NOT NULL COMMENT '状态',
`start_time` datetime NOT NULL COMMENT '开始时间',
`end_time` datetime DEFAULT NULL COMMENT '结束时间',
`duration_ms` bigint DEFAULT NULL COMMENT '耗时毫秒',
`error_message` varchar(1000) DEFAULT NULL COMMENT '错误摘要',
`metadata` text DEFAULT NULL COMMENT '元数据JSON',
`create_dept` bigint DEFAULT NULL COMMENT '创建部门',
`create_by` bigint DEFAULT NULL COMMENT '创建者',
`create_time` datetime DEFAULT NULL COMMENT '创建时间',
`update_by` bigint DEFAULT NULL COMMENT '更新者',
`update_time` datetime DEFAULT NULL COMMENT '更新时间',
`del_flag` char(1) DEFAULT '0' COMMENT '删除标志0代表存在 2代表删除',
PRIMARY KEY (`id`) USING BTREE,
UNIQUE KEY `uk_trace_run_trace_id` (`trace_id`) USING BTREE,
KEY `idx_trace_run_business` (`business_type`, `business_id`) USING BTREE,
KEY `idx_trace_run_status_time` (`status`, `start_time`) USING BTREE,
KEY `idx_trace_run_tenant_time` (`tenant_id`, `start_time`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='链路追踪运行记录表' ROW_FORMAT=DYNAMIC;
-- 链路追踪节点记录表
CREATE TABLE IF NOT EXISTS `trace_node` (
`id` bigint NOT NULL COMMENT '主键',
`trace_id` varchar(64) NOT NULL COMMENT '链路ID',
`node_id` varchar(64) NOT NULL COMMENT '节点ID',
`tenant_id` varchar(20) DEFAULT '000000' COMMENT '租户编号',
`parent_node_id` varchar(64) DEFAULT NULL COMMENT '父节点ID',
`node_name` varchar(128) NOT NULL COMMENT '节点名称',
`node_type` varchar(64) NOT NULL COMMENT '节点类型',
`depth` int DEFAULT 0 COMMENT '节点深度',
`sort_order` int DEFAULT 0 COMMENT '排序',
`class_name` varchar(255) DEFAULT NULL COMMENT '类名',
`method_name` varchar(128) DEFAULT NULL COMMENT '方法名',
`status` varchar(32) NOT NULL COMMENT '状态',
`start_time` datetime NOT NULL COMMENT '开始时间',
`end_time` datetime DEFAULT NULL COMMENT '结束时间',
`duration_ms` bigint DEFAULT NULL COMMENT '耗时毫秒',
`error_message` varchar(1000) DEFAULT NULL COMMENT '错误摘要',
`input_payload` text DEFAULT NULL COMMENT '输入JSON',
`output_payload` text DEFAULT NULL COMMENT '输出JSON',
`metadata` text DEFAULT NULL COMMENT '元数据JSON',
`create_dept` bigint DEFAULT NULL COMMENT '创建部门',
`create_by` bigint DEFAULT NULL COMMENT '创建者',
`create_time` datetime DEFAULT NULL COMMENT '创建时间',
`update_by` bigint DEFAULT NULL COMMENT '更新者',
`update_time` datetime DEFAULT NULL COMMENT '更新时间',
`del_flag` char(1) DEFAULT '0' COMMENT '删除标志0代表存在 2代表删除',
PRIMARY KEY (`id`) USING BTREE,
KEY `idx_trace_node_trace_id` (`trace_id`) USING BTREE,
KEY `idx_trace_node_parent` (`trace_id`, `parent_node_id`) USING BTREE,
KEY `idx_trace_node_time` (`trace_id`, `start_time`) USING BTREE,
KEY `idx_trace_node_tenant_time` (`tenant_id`, `start_time`) USING BTREE,
KEY `idx_trace_node_type_status` (`node_type`, `status`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='链路追踪节点记录表' ROW_FORMAT=DYNAMIC;
-- 兼容已存在的旧 trace 表CREATE TABLE IF NOT EXISTS 不会给旧表补新字段
SET @trace_run_add_tenant_sql = (
SELECT IF(COUNT(*) = 0,
'ALTER TABLE `trace_run` ADD COLUMN `tenant_id` varchar(20) DEFAULT ''000000'' COMMENT ''租户编号'' AFTER `user_id`',
'SELECT 1'
)
FROM information_schema.COLUMNS
WHERE TABLE_SCHEMA = DATABASE()
AND TABLE_NAME = 'trace_run'
AND COLUMN_NAME = 'tenant_id'
);
PREPARE trace_run_add_tenant_stmt FROM @trace_run_add_tenant_sql;
EXECUTE trace_run_add_tenant_stmt;
DEALLOCATE PREPARE trace_run_add_tenant_stmt;
SET @trace_run_add_tenant_idx_sql = (
SELECT IF(COUNT(*) = 0,
'ALTER TABLE `trace_run` ADD INDEX `idx_trace_run_tenant_time` (`tenant_id`, `start_time`) USING BTREE',
'SELECT 1'
)
FROM information_schema.STATISTICS
WHERE TABLE_SCHEMA = DATABASE()
AND TABLE_NAME = 'trace_run'
AND INDEX_NAME = 'idx_trace_run_tenant_time'
);
PREPARE trace_run_add_tenant_idx_stmt FROM @trace_run_add_tenant_idx_sql;
EXECUTE trace_run_add_tenant_idx_stmt;
DEALLOCATE PREPARE trace_run_add_tenant_idx_stmt;
SET @trace_node_add_tenant_sql = (
SELECT IF(COUNT(*) = 0,
'ALTER TABLE `trace_node` ADD COLUMN `tenant_id` varchar(20) DEFAULT ''000000'' COMMENT ''租户编号'' AFTER `node_id`',
'SELECT 1'
)
FROM information_schema.COLUMNS
WHERE TABLE_SCHEMA = DATABASE()
AND TABLE_NAME = 'trace_node'
AND COLUMN_NAME = 'tenant_id'
);
PREPARE trace_node_add_tenant_stmt FROM @trace_node_add_tenant_sql;
EXECUTE trace_node_add_tenant_stmt;
DEALLOCATE PREPARE trace_node_add_tenant_stmt;
SET @trace_node_add_tenant_idx_sql = (
SELECT IF(COUNT(*) = 0,
'ALTER TABLE `trace_node` ADD INDEX `idx_trace_node_tenant_time` (`tenant_id`, `start_time`) USING BTREE',
'SELECT 1'
)
FROM information_schema.STATISTICS
WHERE TABLE_SCHEMA = DATABASE()
AND TABLE_NAME = 'trace_node'
AND INDEX_NAME = 'idx_trace_node_tenant_time'
);
PREPARE trace_node_add_tenant_idx_stmt FROM @trace_node_add_tenant_idx_sql;
EXECUTE trace_node_add_tenant_idx_stmt;
DEALLOCATE PREPARE trace_node_add_tenant_idx_stmt;
-- 链路追踪监控菜单 & 按钮权限
INSERT INTO `sys_menu`
(`menu_id`, `menu_name`, `parent_id`, `order_num`, `path`, `component`, `query_param`, `is_frame`, `is_cache`, `menu_type`, `visible`, `status`, `perms`, `icon`, `create_dept`, `create_by`, `create_time`, `remark`)
SELECT (SELECT COALESCE(MAX(`menu_id`), 0) + 1 FROM (SELECT `menu_id` FROM `sys_menu`) t), '链路追踪', 2, 7, 'trace', 'monitor/trace/index', '', 1, 0, 'C', '0', '0', 'monitor:trace:list', 'tabler:route', 103, 1, NOW(), '链路追踪监控菜单';
INSERT INTO `sys_menu`
(`menu_id`, `menu_name`, `parent_id`, `order_num`, `path`, `component`, `query_param`, `is_frame`, `is_cache`, `menu_type`, `visible`, `status`, `perms`, `icon`, `create_dept`, `create_by`, `create_time`, `remark`)
SELECT (SELECT COALESCE(MAX(`menu_id`), 0) + 1 FROM (SELECT `menu_id` FROM `sys_menu`) t), '链路追踪查询', (SELECT `menu_id` FROM `sys_menu` WHERE `perms` = 'monitor:trace:list' AND `menu_type` = 'C' LIMIT 1), 1, '#', '', '', 1, 0, 'F', '0', '0', 'monitor:trace:query', '#', 103, 1, NOW(), '';

31
pom.xml
View File

@@ -43,8 +43,6 @@
<aws.sdk.version>2.28.22</aws.sdk.version>
<!-- SMS 配置 -->
<sms4j.version>3.3.5</sms4j.version>
<!-- 限制框架中的fastjson版本 -->
<fastjson.version>1.2.83</fastjson.version>
<!-- 面向运行时的D-ORM依赖 -->
<anyline.version>8.7.2-20250603</anyline.version>
<!-- 工作流配置 -->
@@ -63,6 +61,8 @@
<weaviate.version>1.19.6</weaviate.version>
<dify.version>1.2.7</dify.version>
<coze.version>0.4.2</coze.version>
<!-- 智谱官方 Java SDK -->
<zai-sdk.version>0.3.5</zai-sdk.version>
<!-- gRPC 版本 - 解决 Milvus SDK 依赖冲突 -->
<grpc.version>1.62.2</grpc.version>
@@ -70,6 +70,7 @@
<commons-compress.version>1.27.1</commons-compress.version>
<avatar-generator.version>1.1.0</avatar-generator.version>
<javassist.version>3.30.2-GA</javassist.version>
<jsoup.version>1.21.2</jsoup.version>
<knife4j.version>4.4.0</knife4j.version>
<swagger-annotations.version>2.2.8</swagger-annotations.version>
@@ -83,7 +84,7 @@
<maven-surefire-plugin.version>3.5.3</maven-surefire-plugin.version>
<flatten-maven-plugin.version>1.3.0</flatten-maven-plugin.version>
<!-- 打包默认跳过测试 -->
<skipTests>true</skipTests>
<skipTests>false</skipTests>
</properties>
<profiles>
@@ -346,6 +347,12 @@
<groupId>me.zhyd.oauth</groupId>
<artifactId>JustAuth</artifactId>
<version>${justauth.version}</version>
<exclusions>
<exclusion>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
</exclusion>
</exclusions>
</dependency>
<!-- 离线IP地址定位库 ip2region -->
@@ -355,12 +362,6 @@
<version>${ip2region.version}</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>${fastjson.version}</version>
</dependency>
<dependency>
<groupId>org.ruoyi</groupId>
<artifactId>ruoyi-system</artifactId>
@@ -503,20 +504,8 @@
<resources>
<resource>
<directory>src/main/resources</directory>
<!-- 关闭过滤 -->
<filtering>false</filtering>
</resource>
<resource>
<directory>src/main/resources</directory>
<!-- 引入所有 匹配文件进行过滤 -->
<includes>
<include>application*</include>
<include>bootstrap*</include>
<include>banner*</include>
</includes>
<!-- 启用过滤 即该资源中的变量将会被过滤器中的值替换 -->
<filtering>true</filtering>
</resource>
</resources>
</build>

View File

@@ -8,8 +8,8 @@ spring.boot.admin.client:
metadata:
username: ${spring.boot.admin.client.username}
userpassword: ${spring.boot.admin.client.password}
username: @monitor.username@
password: @monitor.password@
username: ${MONITOR_USERNAME:ruoyi}
password: ${MONITOR_PASSWORD:123456}
--- # mcp配置信息
mcp:
@@ -27,12 +27,12 @@ snail-job:
enabled: false
# 需要在 SnailJob 后台组管理创建对应名称的组,然后创建任务的时候选择对应的组,才能正确分派任务
group: "ruoyi_group"
# SnailJob 接入验证令牌 详见 script/sql/ry_job.sql `sj_group_config` 表
# SnailJob 接入验证令牌 详见 docs/script/sql/ruoyi-ai-v3_mysql8.sql `sj_group_config` 表
token: "SJ_cKqBTPzCsWA3VyuCfFoccmuIEGXjr5KT"
server:
host: 127.0.0.1
port: 17888
# 命名空间UUID 详见 script/sql/ry_job.sql `sj_namespace`表`unique_id`字段
# 命名空间UUID 详见 docs/script/sql/ruoyi-ai-v3_mysql8.sql `sj_namespace`表`unique_id`字段
namespace: ${spring.profiles.active}
# 随主应用端口漂移
port: 2${server.port}

View File

@@ -9,8 +9,8 @@ spring.boot.admin.client:
metadata:
username: ${spring.boot.admin.client.username}
userpassword: ${spring.boot.admin.client.password}
username: @monitor.username@
password: @monitor.password@
username: ${MONITOR_USERNAME:ruoyi}
password: ${MONITOR_PASSWORD:123456}
--- # mcp配置信息
mcp:
@@ -28,12 +28,12 @@ snail-job:
enabled: false
# 需要在 SnailJob 后台组管理创建对应名称的组,然后创建任务的时候选择对应的组,才能正确分派任务
group: "ruoyi_group"
# SnailJob 接入验证令牌 详见 script/sql/ry_job.sql `sj_group_config` 表
# SnailJob 接入验证令牌 详见 docs/script/sql/ruoyi-ai-v3_mysql8.sql `sj_group_config` 表
token: "SJ_cKqBTPzCsWA3VyuCfFoccmuIEGXjr5KT"
server:
host: 127.0.0.1
port: 17888
# 命名空间UUID 详见 script/sql/ry_job.sql `sj_namespace`表`unique_id`字段
# 命名空间UUID 详见 docs/script/sql/ruoyi-ai-v3_mysql8.sql `sj_namespace`表`unique_id`字段
namespace: ${spring.profiles.active}
# 随主应用端口漂移
port: 2${server.port}

View File

@@ -20,6 +20,10 @@ server:
# 阻塞任务线程池, 当执行类似servlet请求阻塞操作, undertow会从这个线程池中取得线程,它的值设置取决于系统的负载
worker: 256
--- # 小程序对话 WebSocket 兜底默认模型(前端未传 model 且无智能体绑定时使用)
chat:
default-model: deepseek-v4-flash
captcha:
# 是否启用验证码校验
enable: false
@@ -35,7 +39,7 @@ captcha:
# 日志配置
logging:
level:
org.ruoyi: @logging.level@
org.ruoyi: ${LOGGING_LEVEL_ORG_RUOYI:info}
org.springframework: warn
org.mybatis.spring.mapper: error
org.apache.fury: warn
@@ -75,7 +79,7 @@ spring:
# 国际化资源文件路径
basename: i18n/messages
profiles:
active: @profiles.active@
active: ${SPRING_PROFILES_ACTIVE:dev}
# 文件上传
servlet:
multipart:
@@ -125,6 +129,7 @@ security:
- /*/api-docs/**
- /warm-flow-ui/config
- /workflow/run
- /coding/**
# 多租户配置
tenant:
# 是否开启
@@ -141,6 +146,9 @@ tenant:
- sys_client
- sys_oss_config
- flow_spel
# 链路追踪监控表:运维需跨租户全局查看,且 trace_node 在异步线程写入、租户上下文不传播,故排除租户过滤
- trace_run
- trace_node
# MyBatisPlus配置
# https://baomidou.com/config/
@@ -227,6 +235,15 @@ xss:
excludeUrls:
- /system/notice
--- # 链路追踪配置
trace:
# 是否启用链路追踪,默认 true
# 关闭后所有埋点代码会直接透传业务逻辑,不写库、不创建上下文,零性能开销
enabled: true
payload:
# 错误信息最大字符长度(格式: "异常类名: 异常消息"),超过部分会被截断丢弃
max-error-length: 1000
--- # 分布式锁 lock4j 全局配置
lock4j:
# 获取分布式锁超时时间,默认为 3000 毫秒
@@ -296,11 +313,12 @@ warm-flow:
vector-store:
# 向量存储类型 可选(weaviate/milvus/qdrant)
# 如需修改向量库类型,请修改此配置值!
type: milvus
# 注意:需与 docker-compose 实际部署的向量库保持一致(当前 compose 内置 weaviate映射端口 28080
type: weaviate
# Weaviate配置
weaviate:
protocol: http
host: 127.0.0.1:6038
host: 127.0.0.1:28080
classname: LocalKnowledge
# Milvus配置
milvus:
@@ -314,6 +332,16 @@ vector-store:
api-key:
use-tls: false
# 流程编排扩展节点
workflow:
web-search:
zhipu:
# 推荐通过环境变量注入;为空时回退到模型管理中的 zhipu 厂商密钥
api-key: ${ZAI_API_KEY:}
base-url: ${ZHIPU_WEB_SEARCH_BASE_URL:https://open.bigmodel.cn/api/paas/v4/}
connect-timeout: ${ZHIPU_WEB_SEARCH_CONNECT_TIMEOUT:10}
read-timeout: ${ZHIPU_WEB_SEARCH_READ_TIMEOUT:30}
# 短剧成片合成
short-drama:
composition:
@@ -335,6 +363,7 @@ short-drama:
probe-timeout: ${SHORT_DRAMA_COMPOSITION_PROBE_TIMEOUT:30s}
process-timeout: ${SHORT_DRAMA_COMPOSITION_PROCESS_TIMEOUT:30m}
job-stale-after: ${SHORT_DRAMA_COMPOSITION_JOB_STALE_AFTER:45m}
watermark-font-file: ${SHORT_DRAMA_COMPOSITION_WATERMARK_FONT_FILE:}
worker-core-size: ${SHORT_DRAMA_COMPOSITION_WORKER_CORE_SIZE:1}
worker-max-size: ${SHORT_DRAMA_COMPOSITION_WORKER_MAX_SIZE:2}
worker-queue-capacity: ${SHORT_DRAMA_COMPOSITION_WORKER_QUEUE_CAPACITY:8}

View File

@@ -35,6 +35,7 @@
<module>ruoyi-common-tenant</module>
<module>ruoyi-common-websocket</module>
<module>ruoyi-common-sse</module>
<module>ruoyi-common-trace</module>
</modules>
<artifactId>ruoyi-common</artifactId>

View File

@@ -186,6 +186,13 @@
<version>${revision}</version>
</dependency>
<!-- 链路追踪模块 -->
<dependency>
<groupId>org.ruoyi</groupId>
<artifactId>ruoyi-common-trace</artifactId>
<version>${revision}</version>
</dependency>
</dependencies>
</dependencyManagement>

View File

@@ -38,8 +38,8 @@
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
</dependency>
<dependency>

View File

@@ -1,10 +1,12 @@
package org.ruoyi.common.chat.domain.bo.chat;
import io.github.linpeilie.annotations.AutoMapper;
import jakarta.validation.constraints.NotBlank;
import jakarta.validation.constraints.NotNull;
import lombok.Data;
import lombok.EqualsAndHashCode;
import org.ruoyi.common.chat.entity.chat.ChatModel;
import org.ruoyi.common.core.validate.AddGroup;
import org.ruoyi.common.core.validate.EditGroup;
import org.ruoyi.common.mybatis.core.domain.BaseEntity;
@@ -28,16 +30,19 @@ public class ChatModelBo extends BaseEntity {
/**
* 模型分类
*/
@NotBlank(message = "模型分类不能为空", groups = { AddGroup.class, EditGroup.class })
private String category;
/**
* 模型名称
*/
@NotBlank(message = "模型名称不能为空", groups = { AddGroup.class, EditGroup.class })
private String modelName;
/**
* 模型供应商
*/
@NotBlank(message = "模型供应商不能为空", groups = { AddGroup.class, EditGroup.class })
private String providerCode;
/**

View File

@@ -1,6 +1,5 @@
package org.ruoyi.common.chat.domain.dto.request;
import com.alibaba.fastjson.annotation.JSONField;
import com.fasterxml.jackson.databind.annotation.JsonSerialize;
import com.fasterxml.jackson.databind.ser.std.ToStringSerializer;
import dev.langchain4j.data.message.ChatMessage;
@@ -31,7 +30,6 @@ public class ChatRequest {
* 智能体ID。传入时后端按智能体配置解析模型/工具/技能/知识库/提示词/是否深度思考。
*/
@JsonSerialize(using = ToStringSerializer.class)
@JSONField(serializeUsing = String.class)
private Long agentId;
/**
@@ -54,7 +52,6 @@ public class ChatRequest {
* 会话id
*/
@JsonSerialize(using = ToStringSerializer.class)
@JSONField(serializeUsing = String.class)
private Long sessionId;
/**
@@ -71,7 +68,6 @@ public class ChatRequest {
* 对话id(每个聊天窗口都不一样)
*/
@JsonSerialize(using = ToStringSerializer.class)
@JSONField(serializeUsing = String.class)
private Long uuid;
/**

View File

@@ -26,4 +26,19 @@ public class AudioContext {
private Double speed;
private String instructions;
/** Atlas seed-audio 参考资源:[{speaker, audioUrl, audioData, imageData}]speaker 为音色名 */
private java.util.List<java.util.Map<String, String>> references;
/** Atlas seed-audio 采样率 */
private Integer sampleRate;
/** Atlas seed-audio 音调调整 (-12~12) */
private Integer pitchRate;
/** Atlas seed-audio 语速调整 (-50~100) */
private Integer speechRate;
/** Atlas seed-audio 响度调整 (-50~100) */
private Integer loudnessRate;
}

View File

@@ -25,4 +25,7 @@ public class MediaGenerationResponse {
private String status;
private String rawResponse;
/** 末帧图片 URLAtlas return_last_frame=true 时返回,用于下一镜首帧承接) */
private String lastFrameUrl;
}

View File

@@ -31,5 +31,17 @@ public class VideoContext {
/** 多参考图 URL多参考图生视频模式配合 @imageN prompt 使用) */
private java.util.List<String> referenceImages;
/** 参考音频 URL 列表(对白口型对齐模式) */
private java.util.List<String> referenceAudios;
/** 是否让模型生成同步音频(环境音/动效) */
private Boolean generateAudio;
/** 是否要求返回末帧,用于下一镜首帧承接 */
private Boolean returnLastFrame;
/** 上一镜末帧 URL同场景连续镜头首帧承接用作为额外参考图传入 */
private String lastFrameUrl;
private String videoId;
}

View File

@@ -54,7 +54,6 @@ public enum ErrorEnum {
A_WF_RUNTIME_NOT_FOUND("A00045", "工作流运行时数据找不到"),
A_SEARCH_QUERY_IS_EMPTY("A00046", "搜索内容不能为空"),
A_WF_COMPONENT_NOT_FOUND("A00047", "工作流基础组件找不到"),
A_WF_RESUME_FAIL("A00048", "工作流恢复执行时失败"),
A_MAIL_SENDER_EMPTY("A00049", "邮件发送人不能为空"),
A_MAIL_SENDER_CONFIG_ERROR("A00050", "邮件发送人配置错误"),
A_MAIL_RECEIVER_EMPTY("A00051", "邮件接收人不能为空"),

View File

@@ -22,12 +22,4 @@ public interface IWorkFlowStarterService {
* @return 流式输出结果
*/
SseEmitter streaming(User user, String workflowUuid, List<ObjectNode> userInputs, Long sessionId);
/**
* 恢复工作流
* @param runtimeUuid 运行时UUID
* @param userInput 用户输入
* @param sseEmitter SSE连接对象
*/
void resumeFlow(String runtimeUuid, String userInput, SseEmitter sseEmitter);
}

View File

@@ -1,6 +1,7 @@
package me.zhyd.oauth.request;
import com.alibaba.fastjson.JSONObject;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import me.zhyd.oauth.cache.AuthStateCache;
import me.zhyd.oauth.config.AuthConfig;
import me.zhyd.oauth.config.AuthSource;
@@ -37,11 +38,11 @@ public abstract class AbstractAuthWeChatEnterpriseRequest extends AuthDefaultReq
public AuthToken getAccessToken(AuthCallback authCallback) {
String response = doGetAuthorizationCode(accessTokenUrl(null));
JSONObject object = this.checkResponse(response);
JsonNode object = this.checkResponse(response);
return AuthToken.builder()
.accessToken(object.getString("access_token"))
.expireIn(object.getIntValue("expires_in"))
.accessToken(object.get("access_token").asText())
.expireIn(object.get("expires_in").asInt())
.code(authCallback.getCode())
.build();
}
@@ -49,26 +50,25 @@ public abstract class AbstractAuthWeChatEnterpriseRequest extends AuthDefaultReq
@Override
public AuthUser getUserInfo(AuthToken authToken) {
String response = doGetUserInfo(authToken);
JSONObject object = this.checkResponse(response);
JsonNode object = this.checkResponse(response);
// 返回 OpenId 或其他,均代表非当前企业用户,不支持
// https://github.com/justauth/JustAuth/issues/227 修复bug
if (!object.containsKey("userid")) {
if (!object.has("userid")) {
throw new AuthException(AuthResponseStatus.UNIDENTIFIED_PLATFORM, source);
}
String userId = object.getString("userid");
String userTicket = object.getString("user_ticket");
JSONObject userDetail = getUserDetail(authToken.getAccessToken(), userId, userTicket);
String userId = object.get("userid").asText();
String userTicket = object.has("user_ticket") ? object.get("user_ticket").asText() : null;
JsonNode userDetail = getUserDetail(authToken.getAccessToken(), userId, userTicket);
return AuthUser.builder()
.rawUserInfo(userDetail)
.username(userDetail.getString("name"))
.nickname(userDetail.getString("alias"))
.avatar(userDetail.getString("avatar"))
.location(userDetail.getString("address"))
.email(userDetail.getString("email"))
.username(userDetail.has("name") ? userDetail.get("name").asText() : null)
.nickname(userDetail.has("alias") ? userDetail.get("alias").asText() : null)
.avatar(userDetail.has("avatar") ? userDetail.get("avatar").asText() : null)
.location(userDetail.has("address") ? userDetail.get("address").asText() : null)
.email(userDetail.has("email") ? userDetail.get("email").asText() : null)
.uuid(userId)
.gender(AuthUserGender.getWechatRealGender(userDetail.getString("gender")))
.gender(AuthUserGender.getWechatRealGender(userDetail.has("gender") ? userDetail.get("gender").asText() : null))
.token(authToken)
.source(source.toString())
.build();
@@ -78,16 +78,21 @@ public abstract class AbstractAuthWeChatEnterpriseRequest extends AuthDefaultReq
* 校验请求结果
*
* @param response 请求结果
* @return 如果请求结果正常则返回JSONObject
* @return 如果请求结果正常则返回JsonNode
*/
private JSONObject checkResponse(String response) {
JSONObject object = JSONObject.parseObject(response);
private JsonNode checkResponse(String response) {
try {
ObjectMapper objectMapper = new ObjectMapper();
JsonNode object = objectMapper.readTree(response);
if (object.containsKey("errcode") && object.getIntValue("errcode") != 0) {
throw new AuthException(object.getString("errmsg"), source);
if (object.has("errcode") && object.get("errcode").asInt() != 0) {
throw new AuthException(object.get("errmsg").asText(), source);
}
return object;
} catch (Exception e) {
throw new AuthException("解析响应失败: " + e.getMessage(), source);
}
return object;
}
@@ -127,28 +132,39 @@ public abstract class AbstractAuthWeChatEnterpriseRequest extends AuthDefaultReq
* @param userTicket 成员票据,用于获取用户信息或敏感信息
* @return 用户详情
*/
private JSONObject getUserDetail(String accessToken, String userId, String userTicket) {
// 用户基础信息
String userInfoUrl = UrlBuilder.fromBaseUrl("https://qyapi.weixin.qq.com/cgi-bin/user/get")
.queryParam("access_token", accessToken)
.queryParam("userid", userId)
.build();
String userInfoResponse = new HttpUtils(config.getHttpConfig()).get(userInfoUrl).getBody();
JSONObject userInfo = checkResponse(userInfoResponse);
private JsonNode getUserDetail(String accessToken, String userId, String userTicket) {
try {
ObjectMapper objectMapper = new ObjectMapper();
// 用户敏感信息
if (StringUtils.isNotEmpty(userTicket)) {
String userDetailUrl = UrlBuilder.fromBaseUrl("https://qyapi.weixin.qq.com/cgi-bin/auth/getuserdetail")
// 用户基础信息
String userInfoUrl = UrlBuilder.fromBaseUrl("https://qyapi.weixin.qq.com/cgi-bin/user/get")
.queryParam("access_token", accessToken)
.queryParam("userid", userId)
.build();
JSONObject param = new JSONObject();
param.put("user_ticket", userTicket);
String userDetailResponse = new HttpUtils(config.getHttpConfig()).post(userDetailUrl, param.toJSONString()).getBody();
JSONObject userDetail = checkResponse(userDetailResponse);
String userInfoResponse = new HttpUtils(config.getHttpConfig()).get(userInfoUrl).getBody();
JsonNode userInfo = checkResponse(userInfoResponse);
userInfo.putAll(userDetail);
// 用户敏感信息
if (StringUtils.isNotEmpty(userTicket)) {
String userDetailUrl = UrlBuilder.fromBaseUrl("https://qyapi.weixin.qq.com/cgi-bin/auth/getuserdetail")
.queryParam("access_token", accessToken)
.build();
// 构建请求参数
String paramJson = objectMapper.createObjectNode()
.put("user_ticket", userTicket)
.toString();
String userDetailResponse = new HttpUtils(config.getHttpConfig()).post(userDetailUrl, paramJson).getBody();
JsonNode userDetail = checkResponse(userDetailResponse);
// 合并两个JsonNode
((com.fasterxml.jackson.databind.node.ObjectNode) userInfo).setAll((com.fasterxml.jackson.databind.node.ObjectNode) userDetail);
}
return userInfo;
} catch (Exception e) {
throw new AuthException("获取用户详情失败: " + e.getMessage(), source);
}
return userInfo;
}
}

View File

@@ -1,6 +1,7 @@
package me.zhyd.oauth.request;
import com.alibaba.fastjson.JSONObject;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.xkcoding.http.support.HttpHeader;
import me.zhyd.oauth.cache.AuthStateCache;
import me.zhyd.oauth.config.AuthConfig;
@@ -52,44 +53,56 @@ public class AuthDingTalkV2Request extends AuthDefaultRequest {
@Override
public AuthToken getAccessToken(AuthCallback authCallback) {
Map<String, String> params = new HashMap<>();
params.put("grantType", "authorization_code");
params.put("clientId", config.getClientId());
params.put("clientSecret", config.getClientSecret());
params.put("code", authCallback.getCode());
String response = new HttpUtils(config.getHttpConfig()).post(this.source.accessToken(), JSONObject.toJSONString(params)).getBody();
JSONObject accessTokenObject = JSONObject.parseObject(response);
if (!accessTokenObject.containsKey("accessToken")) {
throw new AuthException(JSONObject.toJSONString(response), source);
try {
ObjectMapper objectMapper = new ObjectMapper();
Map<String, String> params = new HashMap<>();
params.put("grantType", "authorization_code");
params.put("clientId", config.getClientId());
params.put("clientSecret", config.getClientSecret());
params.put("code", authCallback.getCode());
String paramsJson = objectMapper.writeValueAsString(params);
String response = new HttpUtils(config.getHttpConfig()).post(this.source.accessToken(), paramsJson).getBody();
JsonNode accessTokenObject = objectMapper.readTree(response);
if (!accessTokenObject.has("accessToken")) {
throw new AuthException(response, source);
}
return AuthToken.builder()
.accessToken(accessTokenObject.get("accessToken").asText())
.refreshToken(accessTokenObject.has("refreshToken") ? accessTokenObject.get("refreshToken").asText() : null)
.expireIn(accessTokenObject.has("expireIn") ? accessTokenObject.get("expireIn").asInt() : 0)
.corpId(accessTokenObject.has("corpId") ? accessTokenObject.get("corpId").asText() : null)
.build();
} catch (Exception e) {
throw new AuthException("获取AccessToken失败: " + e.getMessage(), source);
}
return AuthToken.builder()
.accessToken(accessTokenObject.getString("accessToken"))
.refreshToken(accessTokenObject.getString("refreshToken"))
.expireIn(accessTokenObject.getIntValue("expireIn"))
.corpId(accessTokenObject.getString("corpId"))
.build();
}
@Override
public AuthUser getUserInfo(AuthToken authToken) {
HttpHeader header = new HttpHeader();
header.add("x-acs-dingtalk-access-token", authToken.getAccessToken());
try {
ObjectMapper objectMapper = new ObjectMapper();
HttpHeader header = new HttpHeader();
header.add("x-acs-dingtalk-access-token", authToken.getAccessToken());
String response = new HttpUtils(config.getHttpConfig()).get(this.source.userInfo(), null, header, false).getBody();
JSONObject object = JSONObject.parseObject(response);
String response = new HttpUtils(config.getHttpConfig()).get(this.source.userInfo(), null, header, false).getBody();
JsonNode object = objectMapper.readTree(response);
authToken.setOpenId(object.getString("openId"));
authToken.setUnionId(object.getString("unionId"));
return AuthUser.builder()
.rawUserInfo(object)
.uuid(object.getString("unionId"))
.username(object.getString("nick"))
.nickname(object.getString("nick"))
.avatar(object.getString("avatarUrl"))
.snapshotUser(object.getBooleanValue("visitor"))
.token(authToken)
.source(source.toString())
.build();
authToken.setOpenId(object.has("openId") ? object.get("openId").asText() : null);
authToken.setUnionId(object.has("unionId") ? object.get("unionId").asText() : null);
return AuthUser.builder()
.uuid(object.has("unionId") ? object.get("unionId").asText() : null)
.username(object.has("nick") ? object.get("nick").asText() : null)
.nickname(object.has("nick") ? object.get("nick").asText() : null)
.avatar(object.has("avatarUrl") ? object.get("avatarUrl").asText() : null)
.snapshotUser(object.has("visitor") && object.get("visitor").asBoolean())
.token(authToken)
.source(source.toString())
.build();
} catch (Exception e) {
throw new AuthException("获取用户信息失败: " + e.getMessage(), source);
}
}
/**

View File

@@ -32,6 +32,16 @@ public class SseEmitterManager {
*/
private final static String SSE_TOPIC = "global:sse";
/**
* 按会话维度管理:每个会话一个 SSE 连接,用于对话流式响应
* Key: sessionId
*/
private final static Map<String, SseEmitter> SESSION_EMITTERS = new ConcurrentHashMap<>();
/**
* 按用户维度管理:全局通知、站内信等场景,一个用户可有多个连接(按 token 区分)
* Key: userId, Value: token -> SseEmitter
*/
private final static Map<Long, Map<String, SseEmitter>> USER_TOKEN_EMITTERS = new ConcurrentHashMap<>();
public SseEmitterManager() {
@@ -40,6 +50,98 @@ public class SseEmitterManager {
.scheduleWithFixedDelay(this::sseMonitor, 60L, 60L, TimeUnit.SECONDS);
}
// ======================== 会话维度(对话流式响应) ========================
/**
* 建立与指定会话的 SSE 连接,每个会话仅保留一个连接,重复建连会替换旧连接。
*
* @param sessionId 会话ID
* @return SseEmitter 实例
*/
public SseEmitter connect(String sessionId) {
if (sessionId == null) {
throw new IllegalArgumentException("sessionId 不能为空");
}
// 关闭已存在的 SseEmitter保证每个会话只有一个活跃连接
SseEmitter oldEmitter = SESSION_EMITTERS.remove(sessionId);
if (oldEmitter != null) {
oldEmitter.complete();
}
SseEmitter emitter = new SseEmitter(86400000L);
SESSION_EMITTERS.put(sessionId, emitter);
emitter.onCompletion(() -> removeSessionEmitter(sessionId, emitter));
emitter.onTimeout(() -> removeSessionEmitter(sessionId, emitter));
emitter.onError(e -> removeSessionEmitter(sessionId, emitter));
try {
emitter.send(SseEmitter.event().comment("connected"));
} catch (IOException e) {
SESSION_EMITTERS.remove(sessionId);
}
return emitter;
}
/**
* 断开指定会话的 SSE 连接
*
* @param sessionId 会话ID
*/
public void disconnect(String sessionId) {
if (sessionId == null) {
return;
}
SseEmitter emitter = SESSION_EMITTERS.remove(sessionId);
if (emitter != null) {
try {
emitter.send(SseEmitter.event().comment("disconnected"));
} catch (Exception exception) {
log.error(exception.getMessage());
}
emitter.complete();
}
}
/**
* 向指定会话发送结构化事件
*
* @param sessionId 会话ID
* @param eventDto SSE事件对象
*/
public void sendEvent(String sessionId, SseEventDto eventDto) {
if (sessionId == null || eventDto == null) {
return;
}
SseEmitter emitter = SESSION_EMITTERS.get(sessionId);
if (emitter == null) {
log.warn("【SSE发送失败】sessionId: {} 没有活跃的SSE连接", sessionId);
return;
}
try {
log.debug("【SSE发送】sessionId: {}, event: {}", sessionId, eventDto.getEvent());
emitter.send(SseEmitter.event()
.name(eventDto.getEvent())
.data(JSONUtil.toJsonStr(eventDto)));
} catch (Exception e) {
log.error("【SSE发送失败】sessionId: {}, error: {}", sessionId, e.getMessage());
removeSessionEmitter(sessionId, emitter);
}
}
private void removeSessionEmitter(String sessionId, SseEmitter emitter) {
boolean removed = SESSION_EMITTERS.remove(sessionId, emitter);
if (removed) {
try {
emitter.complete();
} catch (Exception ignore) {
// 忽略重复关闭异常
}
}
}
// ======================== 用户维度(全局通知) ========================
/**
* 建立与指定用户的 SSE 连接
*
@@ -154,6 +256,23 @@ public class SseEmitterManager {
// 循环结束后统一清理空用户,避免并发修改异常
toRemoveUsers.forEach(USER_TOKEN_EMITTERS::remove);
// 会话维度心跳:发送失败的连接移除
if (!SESSION_EMITTERS.isEmpty()) {
SESSION_EMITTERS.entrySet().removeIf(entry -> {
try {
entry.getValue().send(heartbeat);
return false;
} catch (Exception ex) {
try {
entry.getValue().complete();
} catch (Exception ignore) {
// 忽略重复关闭异常
}
return true;
}
});
}
}
/**
@@ -243,9 +362,11 @@ public class SseEmitterManager {
SseMessageDto broadcastMessage = new SseMessageDto();
broadcastMessage.setMessage(sseMessageDto.getMessage());
broadcastMessage.setUserIds(sseMessageDto.getUserIds());
broadcastMessage.setSessionId(sseMessageDto.getSessionId());
broadcastMessage.setEventDto(sseMessageDto.getEventDto());
RedisUtils.publish(SSE_TOPIC, broadcastMessage, consumer -> {
log.info("SSE发送主题订阅消息topic:{} session keys:{} message:{}",
SSE_TOPIC, sseMessageDto.getUserIds(), sseMessageDto.getMessage());
log.info("SSE发送主题订阅消息topic:{} session:{} session keys:{} message:{}",
SSE_TOPIC, sseMessageDto.getSessionId(), sseMessageDto.getUserIds(), sseMessageDto.getMessage());
});
}

View File

@@ -26,4 +26,14 @@ public class SseMessageDto implements Serializable {
* 需要发送的消息
*/
private String message;
/**
* 按会话定向推送的会话ID非空时优先按会话路由忽略 userIds
*/
private String sessionId;
/**
* 结构化事件按会话定向推送时使用message 为兼容旧逻辑保留)
*/
private SseEventDto eventDto;
}

View File

@@ -1,8 +1,10 @@
package org.ruoyi.common.sse.listener;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.util.StrUtil;
import lombok.extern.slf4j.Slf4j;
import org.ruoyi.common.sse.core.SseEmitterManager;
import org.ruoyi.common.sse.dto.SseMessageDto;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.ApplicationArguments;
import org.springframework.boot.ApplicationRunner;
@@ -28,8 +30,20 @@ public class SseTopicListener implements ApplicationRunner, Ordered {
@Override
public void run(ApplicationArguments args) throws Exception {
sseEmitterManager.subscribeMessage((message) -> {
log.info("SSE主题订阅收到消息session keys={} message={}", message.getUserIds(), message.getMessage());
// 如果key不为空就按照key发消息 如果为空就群发
log.info("SSE主题订阅收到消息session:{} session keys={} message={}",
message.getSessionId(), message.getUserIds(), message.getMessage());
// 优先按会话路由(对话流式响应)
if (StrUtil.isNotBlank(message.getSessionId())) {
if (message.getEventDto() != null) {
sseEmitterManager.sendEvent(message.getSessionId(), message.getEventDto());
} else if (message.getMessage() != null) {
// 兼容按会话发纯文本的场景
sseEmitterManager.sendEvent(message.getSessionId(),
org.ruoyi.common.sse.dto.SseEventDto.content(message.getMessage()));
}
return;
}
// 否则按用户/群发路由(全局通知)
if (CollUtil.isNotEmpty(message.getUserIds())) {
message.getUserIds().forEach(key -> {
sseEmitterManager.sendMessage(key, message.getMessage());

View File

@@ -93,6 +93,15 @@ public class SseMessageUtils {
MANAGER.disconnect(userId, tokenValue);
}
/**
* 完成指定会话的SSE连接
*
* @param sessionId 会话ID
*/
public static void completeConnection(String sessionId) {
MANAGER.disconnect(sessionId);
}
/**
* 向指定的SSE会话发送结构化事件
*
@@ -106,6 +115,22 @@ public class SseMessageUtils {
MANAGER.sendEvent(userId, eventDto);
}
/**
* 向指定会话发送结构化事件(通过 Redis 广播,跨实例可达)
*
* @param sessionId 会话ID
* @param eventDto SSE事件对象
*/
public static void sendEvent(String sessionId, SseEventDto eventDto) {
if (!isEnable() || sessionId == null) {
return;
}
SseMessageDto dto = new SseMessageDto();
dto.setSessionId(sessionId);
dto.setEventDto(eventDto);
MANAGER.publishMessage(dto);
}
/**
* 发送内容事件
*
@@ -116,6 +141,16 @@ public class SseMessageUtils {
sendEvent(userId, SseEventDto.content(content));
}
/**
* 向指定会话发送内容事件
*
* @param sessionId 会话ID
* @param content 内容
*/
public static void sendContent(String sessionId, String content) {
sendEvent(sessionId, SseEventDto.content(content));
}
/**
* 发送推理内容事件
*
@@ -126,6 +161,16 @@ public class SseMessageUtils {
sendEvent(userId, SseEventDto.reasoning(reasoningContent));
}
/**
* 向指定会话发送推理内容事件
*
* @param sessionId 会话ID
* @param reasoningContent 推理内容
*/
public static void sendReasoning(String sessionId, String reasoningContent) {
sendEvent(sessionId, SseEventDto.reasoning(reasoningContent));
}
/**
* 发送完成事件
*
@@ -135,6 +180,15 @@ public class SseMessageUtils {
sendEvent(userId, SseEventDto.done());
}
/**
* 向指定会话发送完成事件
*
* @param sessionId 会话ID
*/
public static void sendDone(String sessionId) {
sendEvent(sessionId, SseEventDto.done());
}
/**
* 发送错误事件
*
@@ -145,6 +199,16 @@ public class SseMessageUtils {
sendEvent(userId, SseEventDto.error(error));
}
/**
* 向指定会话发送错误事件
*
* @param sessionId 会话ID
* @param error 错误信息
*/
public static void sendError(String sessionId, String error) {
sendEvent(sessionId, SseEventDto.error(error));
}
/**
* 是否开启
*/

View File

@@ -0,0 +1,42 @@
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<groupId>org.ruoyi</groupId>
<artifactId>ruoyi-common</artifactId>
<version>${revision}</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>ruoyi-common-trace</artifactId>
<description>
ruoyi-common-trace 通用链路追踪
</description>
<dependencies>
<dependency>
<groupId>org.ruoyi</groupId>
<artifactId>ruoyi-common-core</artifactId>
</dependency>
<dependency>
<groupId>org.ruoyi</groupId>
<artifactId>ruoyi-common-mybatis</artifactId>
</dependency>
<dependency>
<groupId>org.ruoyi</groupId>
<artifactId>ruoyi-common-json</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.mockito</groupId>
<artifactId>mockito-junit-jupiter</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
</project>

View File

@@ -0,0 +1,14 @@
package org.ruoyi.common.trace.config;
import org.springframework.boot.autoconfigure.AutoConfiguration;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
/**
* 通用链路追踪自动配置。
* <p>
* 仅注册配置属性;节点采集通过 {@code TraceNodeTemplate} / {@code DefaultTraceStreamSpan} 编程式埋点完成。
*/
@AutoConfiguration
@EnableConfigurationProperties(TraceProperties.class)
public class TraceAutoConfiguration {
}

View File

@@ -0,0 +1,31 @@
package org.ruoyi.common.trace.config;
import lombok.Data;
import org.springframework.boot.context.properties.ConfigurationProperties;
/**
* 通用链路追踪配置。
*/
@Data
@ConfigurationProperties(prefix = "trace")
public class TraceProperties {
/**
* 是否启用链路追踪。
*/
private boolean enabled = true;
/**
* payload 记录策略。
*/
private Payload payload = new Payload();
@Data
public static class Payload {
/**
* 错误信息最大长度。
*/
private int maxErrorLength = 1000;
}
}

View File

@@ -0,0 +1,15 @@
package org.ruoyi.common.trace.constant;
/**
* 通用链路追踪常量。
*/
public final class TraceConstants {
private TraceConstants() {
}
public static final String STATUS_RUNNING = "RUNNING";
public static final String STATUS_SUCCESS = "SUCCESS";
public static final String STATUS_ERROR = "ERROR";
public static final String STATUS_CANCELLED = "CANCELLED";
}

View File

@@ -0,0 +1,163 @@
package org.ruoyi.common.trace.constant;
import java.util.Map;
/**
* 链路追踪中文展示常量。
* <p>
* 将技术标识映射为用户可读的中文标签,供前端直接展示。
*/
public final class TraceDisplayConstants {
private TraceDisplayConstants() {
}
// ======================== 节点类型中文映射 ========================
/**
* 通用节点类型中文标签。
*/
public static final Map<String, String> NODE_TYPE_LABELS = Map.ofEntries(
Map.entry("RETRIEVAL", "知识检索"),
Map.entry("RERANK", "重排序"),
Map.entry("LLM_CALL", "LLM 调用"),
Map.entry("STREAM", "流式输出"),
Map.entry("METHOD", "方法调用"),
Map.entry("HTTP", "HTTP 请求"),
Map.entry("DB", "数据库"),
Map.entry("CACHE", "缓存操作"),
Map.entry("TASK", "异步任务"),
Map.entry("ROOT", "根节点")
);
/**
* 业务类型中文标签。
*/
public static final Map<String, String> BUSINESS_TYPE_LABELS = Map.ofEntries(
Map.entry("RAG_CHAT", "RAG 对话"),
Map.entry("API", "API 调用"),
Map.entry("SCHEDULED", "定时任务")
);
/**
* 状态中文标签。
*/
public static final Map<String, String> STATUS_LABELS = Map.ofEntries(
Map.entry("RUNNING", "运行中"),
Map.entry("SUCCESS", "成功"),
Map.entry("ERROR", "失败"),
Map.entry("CANCELLED", "已取消"),
Map.entry("TIMEOUT", "超时")
);
// ======================== 工具方法 ========================
/**
* 获取节点类型中文标签,未匹配时返回原始值。
*/
public static String nodeTypeLabel(String nodeType) {
if (nodeType == null) {
return "-";
}
return NODE_TYPE_LABELS.getOrDefault(nodeType.toUpperCase(), nodeType);
}
/**
* 获取业务类型中文标签,未匹配时返回原始值。
*/
public static String businessTypeLabel(String businessType) {
if (businessType == null) {
return "-";
}
return BUSINESS_TYPE_LABELS.getOrDefault(businessType.toUpperCase(), businessType);
}
/**
* 获取状态中文标签,未匹配时返回原始值。
*/
public static String statusLabel(String status) {
if (status == null) {
return "未知";
}
return STATUS_LABELS.getOrDefault(status.toUpperCase(), status);
}
/**
* 将技术节点名称转为可读展示名。
* <p>
* 支持 kebab-case / snake_case / camelCase → 首字母大写空格分隔。
*/
public static String prettifyNodeName(String raw) {
if (raw == null || raw.isBlank()) {
return "-";
}
String trimmed = raw.trim();
// 已知映射优先
Map<String, String> known = Map.ofEntries(
Map.entry("rag-chat", "RAG 流式对话"),
Map.entry("rag-stream-chat", "RAG 流式对话"),
Map.entry("retrieval-engine", "知识库检索"),
Map.entry("multi-channel-retrieval", "多路召回"),
Map.entry("context-build", "上下文组装"),
Map.entry("prompt-render", "Prompt 渲染"),
Map.entry("query-rewrite-and-split", "问题改写与拆分"),
Map.entry("intent-resolve", "意图识别"),
Map.entry("guidance-detect", "歧义引导"),
Map.entry("conversation-title-gen", "会话标题生成"),
Map.entry("user-first-packet", "用户感知首包"),
Map.entry("llm-first-packet", "LLM 首包"),
Map.entry("llm-chat-routing", "LLM 路由调度"),
Map.entry("llm-stream-routing", "LLM 流式路由")
);
if (known.containsKey(trimmed)) {
return known.get(trimmed);
}
// 通用格式化: 按 [-_] 分割,每段首字母大写
String[] parts = trimmed.split("[-_\\s]+");
StringBuilder sb = new StringBuilder();
for (String part : parts) {
if (part.isEmpty()) {
continue;
}
if (sb.length() > 0) {
sb.append(' ');
}
sb.append(Character.toUpperCase(part.charAt(0)));
if (part.length() > 1) {
sb.append(part.substring(1));
}
}
return sb.length() > 0 ? sb.toString() : trimmed;
}
/**
* 判断状态是否为失败。
*/
public static boolean isFailed(String status) {
if (status == null) {
return false;
}
String upper = status.toUpperCase();
return "ERROR".equals(upper) || "FAILED".equals(upper) || "TIMEOUT".equals(upper);
}
/**
* 判断状态是否为成功。
*/
public static boolean isSuccess(String status) {
if (status == null) {
return false;
}
return "SUCCESS".equalsIgnoreCase(status);
}
/**
* 判断状态是否为运行中。
*/
public static boolean isRunning(String status) {
if (status == null) {
return false;
}
return "RUNNING".equalsIgnoreCase(status);
}
}

View File

@@ -0,0 +1,71 @@
package org.ruoyi.common.trace.core;
import lombok.extern.slf4j.Slf4j;
import org.ruoyi.common.trace.config.TraceProperties;
import org.ruoyi.common.trace.constant.TraceConstants;
import org.ruoyi.common.trace.service.TraceRecordService;
import org.ruoyi.common.trace.util.TracePayloadUtils;
import java.util.Date;
import java.util.concurrent.atomic.AtomicBoolean;
/**
* 默认流式 trace 节点实现。
*/
@Slf4j
public class DefaultTraceStreamSpan implements TraceStreamSpan {
private final TraceRecordService traceRecordService;
private final TraceProperties traceProperties;
private final String traceId;
private final String nodeId;
private final long startMillis;
private final AtomicBoolean finished = new AtomicBoolean(false);
private final AtomicBoolean detached = new AtomicBoolean(false);
public DefaultTraceStreamSpan(TraceRecordService traceRecordService,
TraceProperties traceProperties,
String traceId,
String nodeId,
long startMillis) {
this.traceRecordService = traceRecordService;
this.traceProperties = traceProperties;
this.traceId = traceId;
this.nodeId = nodeId;
this.startMillis = startMillis;
}
@Override
public void detach() {
if (detached.compareAndSet(false, true)) {
TraceContext.popNode();
}
}
@Override
public void finishSuccess(String outputPayload) {
finish(TraceConstants.STATUS_SUCCESS, null, outputPayload);
}
@Override
public void finishError(Throwable throwable) {
finish(TraceConstants.STATUS_ERROR, TracePayloadUtils.error(throwable, traceProperties), null);
}
@Override
public void finishCancelledIfRunning() {
finish(TraceConstants.STATUS_CANCELLED, null, null);
}
private void finish(String status, String errorMessage, String outputPayload) {
if (!finished.compareAndSet(false, true)) {
return;
}
try {
traceRecordService.finishNode(traceId, nodeId, status, errorMessage, outputPayload,
new Date(), System.currentTimeMillis() - startMillis);
} catch (Exception e) {
log.warn("结束 trace stream span 失败traceId={}, nodeId={}", traceId, nodeId, e);
}
}
}

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