4 |
5 | 
6 |
7 | Setup a condition branch
8 | 
9 |
10 | ---
11 |
12 | Hi there.
13 | This is a sub-project of [Dialog Flow AI](https://github.com/dialogflow/dialogflow)
14 | It's built on Vue3
15 |
16 | ## Recommended IDE Setup
17 |
18 | [VSCode](https://code.visualstudio.com/) + [Volar](https://marketplace.visualstudio.com/items?itemName=Vue.volar) (and disable Vetur) + [TypeScript Vue Plugin (Volar)](https://marketplace.visualstudio.com/items?itemName=Vue.vscode-typescript-vue-plugin).
19 |
20 | ## Project Setup
21 |
22 | ```sh
23 | git clone https://github.com/dialogflowai/dialogflow
24 | cd dialogflow
25 | cd frontend
26 | npm install
27 | ```
28 |
29 | ### Compile and Hot-Reload for Development
30 |
31 | ```sh
32 | npm run dev
33 | ```
34 |
35 | On Windows, run the `r` command directly in the project root directory
36 |
37 | ### Compile and Minify for Production
38 |
39 | ```sh
40 | npm run build
41 | ```
42 |
43 | On Windows, run the `b` command directly in the project root directory
44 |
45 |
48 |
--------------------------------------------------------------------------------
/src/db/embedding_lance.rs:
--------------------------------------------------------------------------------
1 | use std::sync::Arc;
2 | use std::vec::Vec;
3 |
4 | use arrow_array::array::ArrayRef;
5 | use arrow_array::types::Float32Type;
6 | use arrow_array::{FixedSizeListArray, Int32Array, RecordBatch, RecordBatchIterator};
7 | use arrow_schema::{DataType, Field, Schema};
8 | use futures::TryStreamExt;
9 |
10 | use lancedb::arrow::IntoArrow;
11 | use lancedb::connection::Connection;
12 | use lancedb::index::Index;
13 | use lancedb::query::{ExecutableQuery, QueryBase};
14 | use lancedb::{connect, Error, Result, Table as LanceDbTable};
15 |
16 | const DATA_ROOT_PATH: &str = "./data/intentev";
17 |
18 | async fn add(robot_id: &str, v: Vechttp://127.0.0.1:12715/flow/answer 替换成您真实的地址.
41 | url: 'http://127.0.0.1:12715/flow/answer', // 应答接口地址
42 | robotId: robotId, // 机器人id
43 | mainFlowId: mainFlowId, // 主流程id
44 | chatHistory: chatRecords.value, // 保存聊天记录数据。这些数据，是在SDK里保存的
45 | });
46 | }
47 | // 发送请求
48 | await dialogFlowAiSDK.sendMessage({
49 | type: dialogFlowAiSDK.MessageKind.PLAIN_TEXT,
50 | content: userAsk.value,
51 | });
52 | // 检查是否结束应答
53 | if (dialogFlowAiSDK.chatHasEnded) {
54 | dialogFlowAiSDK.addChat('会话结束', 'terminateText', dialogFlowAiSDK.MessageKind.PLAIN_TEXT, -1);
55 | // 当会话完成，重置SDK
56 | dialogFlowAiSDK = null;
57 | }
58 | waitingResponse.value = false;
59 | }
60 | ```
61 |
--------------------------------------------------------------------------------
/src/flow/rt/crud.rs:
--------------------------------------------------------------------------------
1 | use redb::{ReadableDatabase, ReadableTable, TableDefinition};
2 |
3 | use crate::db;
4 | use crate::result::Result;
5 |
6 | fn get_table_name(main_flow_id: &str) -> String {
7 | format!("RTN{main_flow_id}")
8 | }
9 |
10 | pub(crate) fn get_runtime_node(
11 | main_flow_id: &str,
12 | key: &str,
13 | ) -> Resulthttp://127.0.0.1:12715/flow/answer with your actual API endpoint.
41 | url: 'http://127.0.0.1:12715/flow/answer', // answer API address
42 | robotId: robotId, // robot id
43 | mainFlowId: mainFlowId, // main flow id
44 | chatHistory: chatRecords.value, // Save chat data. This data, which is saved in the SDK
45 | });
46 | }
47 | // Sending request
48 | await dialogFlowAiSDK.sendMessage({
49 | type: dialogFlowAiSDK.MessageKind.PLAIN_TEXT,
50 | content: userAsk.value,
51 | });
52 | // Check if the answer is finished
53 | if (dialogFlowAiSDK.chatHasEnded) {
54 | dialogFlowAiSDK.addChat('Conversation was over', 'terminateText', dialogFlowAiSDK.MessageKind.PLAIN_TEXT, -1);
55 | // When the session is complete, reset the SDK
56 | dialogFlowAiSDK = null;
57 | }
58 | waitingResponse.value = false;
59 | }
60 | ```
61 |
--------------------------------------------------------------------------------
/sdk/java/pom.xml:
--------------------------------------------------------------------------------
1 |
2 |
3 |
23 |
24 |
25 |
70 |
71 |
--------------------------------------------------------------------------------
/sdk/java/src/main/java/io/github/dialogflowai/RequestHandler.java:
--------------------------------------------------------------------------------
1 | package io.github.dialogflowai;
2 |
3 | import com.fasterxml.jackson.databind.DeserializationFeature;
4 | import com.fasterxml.jackson.databind.ObjectMapper;
5 | import io.github.dialogflowai.sdk.ImportVariable;
6 | import io.github.dialogflowai.sdk.RequestData;
7 | import io.github.dialogflowai.sdk.Response;
8 | import io.github.dialogflowai.sdk.UserInputResult;
9 | import lombok.extern.slf4j.Slf4j;
10 |
11 | import java.io.IOException;
12 | import java.io.InputStream;
13 | import java.net.URI;
14 | import java.net.http.HttpClient;
15 | import java.net.http.HttpRequest;
16 | import java.net.http.HttpResponse;
17 | import java.time.Duration;
18 |
19 | @Slf4j
20 | public class RequestHandler {
21 | private final HttpClient client;
22 | private final URI endpoint;
23 | private final ObjectMapper mapper;
24 | public RequestHandler(String endpoint) {
25 | this.client = HttpClient.newBuilder()
26 | .version(HttpClient.Version.HTTP_1_1)
27 | .build();
28 | this.endpoint = URI.create(endpoint);
29 | this.mapper = new ObjectMapper();
30 | this.mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
31 | System.setProperty("jdk.httpclient.keepalive.timeout", "1800");
32 | }
33 |
34 | public Response req(String robotId, String mainFlowId, String userInput) throws IOException, InterruptedException {
35 | return req(userInput, robotId, mainFlowId, 2500);
36 | }
37 |
38 | public Response req(String robotId, String mainFlowId, String userInput, int timeoutMillis) throws IOException, InterruptedException {
39 | RequestData requestData = RequestData.create(robotId, mainFlowId, userInput);
40 | return req(requestData, timeoutMillis);
41 | }
42 |
43 | public Response req(RequestData requestData, int timeoutMillis) throws IOException, InterruptedException {
44 | // Check default value of request params
45 | if (requestData.getUserInput() == null)
46 | requestData.setUserInput("");
47 | if (requestData.getUserInputResult() == null)
48 | requestData.setUserInputResult(UserInputResult.SUCCESSFUL);
49 | // End
50 | return post(requestData, timeoutMillis);
51 | }
52 |
53 | private Response post(RequestData requestData, int timeoutMillis) throws IOException, InterruptedException {
54 | HttpRequest request = HttpRequest.newBuilder()
55 | .uri(endpoint)
56 | .timeout(Duration.ofMillis(timeoutMillis))
57 | .POST(HttpRequest.BodyPublishers.ofByteArray(mapper.writeValueAsBytes(requestData)))
58 | .header("Content-Type", "application/json")
59 | .build();
60 |
61 | // Send request and handle response
62 | HttpResponse
4 | {{ locale === 'zh' ? 'Language' : '语言切换' }}
5 |
6 |
7 | ![flag]()
8 | {{ currentLangLabel }}
9 |
10 |
11 |
12 |
13 |
15 | ![]()
16 | {{ lang.label }}
17 |
18 |
19 |
20 |
21 |
22 | 
9 |
10 | 
11 |
12 | 
13 |
14 | 
15 |
16 | # ✨ 关键特性
17 | * 🛒 **轻量级** 只有一个执行文件, 可以在没有GPU的笔记本上平滑的执行 (数据文件会在运行期动态的生成).
18 | * 🐱🏍 **AI 驱动** 集成了 `Huggingface 本地模型 (Llama, Phi-3, Gemma, Multilingual E5, MiniLM L6v2, NomicEmbedTextV1_5 等其它模型)`, `Ollama` 和 `OpenAI`, 可以用于 `流程聊天`, `答案节点文本生成` 以及 `意图识别` 等.
19 | * 🚀 **快速** 使用`Rust`和`Vue`构建.
20 | * 😀 **简单** 通过使用可视化的流程编辑器，只需要用鼠标拖拽几个不同类型的节点, 即可创建一个简单的对话机器人.
21 | * 🔐 **安全** 100% 开源, 所有运行时的数据, 都保存在本地 (使用 `OpenAI API` 可能会暴露一些数据).
22 |
23 | # 现在就尝试一下!
24 | * 🐋 **Docker** 我们提供了一个`Docker`镜像: [dialogflowai/dialogflow](https://hub.docker.com/r/dialogflowai/dialogflow/)
25 | * 💻 **可直接执行的发布版本**, 请通过发布页: [点击这里](https://github.com/dialogflowai/dialogflow/releases) , 根据不同的平台下载（支持：Windows、Linux、macOS）
26 |
27 | > 默认情况下, 应用会监听: `127.0.0.1:12715`, 你可以使用 `-ip` 参数和 `-port` 参数, 来指定新的监听地址和端口, 例如: `dialogflow -ip 0.0.0.0 -port 8888`
28 |
29 |
33 |
34 | # 查看详细介绍, 了解更多信息
35 | [https://dialogflowai.github.io/#/?lang=zh](https://dialogflowai.github.io/#/?lang=zh)
36 |
37 | # 功能节点列表
38 | |节点|名称|
39 | |----|----|
40 | ||对话答案节点|
41 | ||大模型聊天节点|
42 | ||知识库答案节点|
43 | ||条件节点|
44 | ||跳转节点|
45 | ||信息收集节点|
46 | ||请求外部接口节点|
47 | ||邮件发送节点|
48 | ||流程结束节点|
49 |
50 | 通过使用上面不同的节点来排列和组合, 就可以创建解决不同场景问题的机器人.
51 |
52 | # 截图
53 | 
54 |
55 | 
56 |
57 | ### 体验演示机器人
58 | 
59 |
60 | ### 创建一个条件节点的分支
61 | 
62 |
63 | ### 对话答案节点的自动文本生成
64 |
65 | 
66 |
67 | ### 测试一个对话机器人
68 | 
69 |
70 |
71 | # 现在就开始使用
72 |
73 | ### Docker 镜像
74 | 1. docker pull dialogflowai/demo
75 | 2. docker run -dp 127.0.0.1:12715:12715 --name dialogflowdemo dialogflowai/demo
76 | 3. 打开浏览器并访问: http://127.0.0.1:12715/ 打开应用界面
77 |
78 | ### 发布版本
79 | 1. 从 [Github release page](https://github.com/dialogflowai/dialogflow/releases), 选择不同系统并下载.
80 | 1. 直接执行, 或者使用 `-ip` 和 `-port` 修改监听地址, 如: `dialogflow -ip 0.0.0.0 -port 8888`.
81 | 1. 打开浏览器并访问 http://localhost:12715 (默认) 或 http://`新的IP`:`新的端口` 打开应用界面
82 | 1. 进入一个机器人
83 | 2. 创建一个对话流程，并点击名称进入编辑器
84 | 1. 构建属于自己的机器人
85 | 1. 测试
86 |
--------------------------------------------------------------------------------
/src/resources/assets/assets/DialogFlowAiSDK.min.js:
--------------------------------------------------------------------------------
1 | "use strict";class DialogFlowAiSDK{constructor(t){this.url=t.url,this.timeoutSec=t.timeoutSec||10,this.mainFlowId=t.mainFlowId,this.robotId=t.robotId,this.chatHistory=t.chatHistory||[],this.version=1,this.sessionId=t.sessionId||this.newSessionId(),this.importVariables=[],this.chatHasEnded=!1}VarKind=Object.freeze({STRING:"String",NUMBER:"Number"});UserInputResult=Object.freeze({SUCCESSFUL:"Successful",TIMEOUT:"Timeout"});MessageKind=Object.freeze({PLAIN_TEXT:"PlainText",RICH_TEXT:"RichText",IMAGE:"Timeout"});newSessionId(){return Date.now().toString()+Math.random().toString(16)}genRequestBody(t,e){const n=this;return{robotId:n.robotId,mainFlowId:n.mainFlowId,sessionId:this.sessionId,userInputResult:null,userInput:t||"",importVariables:n.importVariables.splice(0,n.importVariables.length),userInputIntent:e}}appendImportVariable(t,e,n){if(!this.VarKind[n])throw new Error(`Invalid variable kind: ${n}`);const s={varName:t,varType:n,varVal:e};this.importVariables.push(s)}correctData(t){if(!this.url)throw new Error("Missing parameter: url");if(!this.robotId)throw new Error("Missing parameter: robotId");if(!this.mainFlowId)throw new Error("Missing parameter: mainFlowId");if(null==t.sessionId)throw new Error("Missing parameter: sessionId");null==t.userInput&&(t.userInput=""),null==t.userInputResult&&(t.userInputResult=0==this.chatHistory.length||t.userInput.length>0?this.UserInputResult.SUCCESSFUL:this.UserInputResult.FAILED),null==t.importVariables&&(t.importVariables=[]),null!=t.userInputIntent&&""==t.userInputIntent&&(t.userInputIntent=null)}addChat(t,e,n,s){if(s&&s>-1){if(!(s>=this.chatHistory.length))return this.chatHistory[s].text+=t,s;for(let t=this.chatHistory.length;t{{ t('eApi.title') }}
74 |
76 | Now you can not only send data to the outside, but also get data from the outside and save it in variables
77 | by setting value source to a HTTP API.
78 | {{ t('var.add') }}
79 |
80 |
45 | {{ $t("home.demo") }}:
47 |
48 | {{ $t("home.demo1") }}
89 | > 2.
90 | {{ $t("home.demo2") }}
100 | > 3.
101 | {{ $t("home.demo3") }}
111 |
112 |
113 |
114 |
--------------------------------------------------------------------------------
/src/kb/crud.rs:
--------------------------------------------------------------------------------
1 | use std::collections::HashMap;
2 | use std::path::Path;
3 |
4 | use axum::{
5 | Json,
6 | extract::{Multipart, Query},
7 | response::IntoResponse,
8 | };
9 |
10 | use super::doc;
11 | use super::dto::{DocData, QuestionAnswerPair};
12 | use crate::result::{Error, Result};
13 | use crate::robot::dto::RobotQuery;
14 | use crate::web::server::to_res;
15 |
16 | pub(crate) async fn list_doc(Query(q): Query-
49 |
-
50 |
{{ $t("home.demo1") }} 55 |
56 | -
57 |
{{ $t("home.demo2") }} 67 |
68 | -
69 |
{{ $t("home.demo3") }} 79 |
80 |
[](https://deepwiki.com/dialogflowai/dialogflow)
7 |
8 | 
9 |
10 | 
11 |
12 | 
13 |
14 | # ✨ Features
15 | * 🛒 **Light** Only ONE executable file, it can run smoothly on laptops without GPUs (data files will be created at runtime automatically).
16 | * 🐱🏍 **AI powered** Integrated `Huggingface local models (Llama, Phi-3, Gemma, Multilingual E5, MiniLM L6v2, NomicEmbedTextV1_5, etc.)`, `Ollama` and `OpenAI`, this can be used for `Chat`, `Text generation` and `Intent detection`.
17 | * 🚀 **Fast** Built on Rust and Vue3.
18 | * 😀 **Simple** Use the mouse to drag and drop with our intuitive node-based editor.
19 | * 🔐 **Safe** 100% open source, all runtime data is saved locally (Using `OpenAI API` may expose some data).
20 |
21 | # Give it a try!
22 | * 🐋 **Docker** We provided an image on Docker Hub at [dialogflowai/dialogflow](https://hub.docker.com/r/dialogflowai/dialogflow/)
23 | * 💻 **Binary releases**, please check [here](https://github.com/dialogflowai/dialogflow/releases)
24 |
25 | > By default application will listen to `127.0.0.1:12715`, you can use `-ip` and `-port` specify new value, e.g.: `dialogflow -ip 0.0.0.0 -port 8888`
26 |
27 |
31 |
32 | # Check out introduction page
33 | [https://dialogflowai.github.io/](https://dialogflowai.github.io/)
34 |
35 | # Function nodes
36 | |Node|Name|
37 | |----|----|
38 | ||Dialog Node|
39 | ||Large language model chat node|
40 | ||Knowledge base answer node|
41 | ||Conditions node|
42 | ||Goto node|
43 | ||Collect node|
44 | ||External HTTP node|
45 | ||Send email node|
46 | ||The end node|
47 |
48 | Using the different nodes above, to arrange and combine, you can get a conversational bot that can handle problems in different scenarios.
49 |
50 | # Screenshots
51 | 
52 |
53 | 
54 |
55 | ### Trying a demo dialog flow
56 | 
57 |
58 | ### Setup a condition branch
59 | 
60 |
61 | ### Text generation
62 |
63 | 
64 |
65 | ### Testing a dialog flow
66 | 
67 |
68 |
69 | # Get started
70 |
71 | ### Docker image
72 | 1. docker pull dialogflowai/demo
73 | 2. docker run -dp 127.0.0.1:12715:12715 --name dialogflowdemo dialogflowai/demo
74 | 3. Open your browser and visit: http://127.0.0.1:12715/
75 |
76 | ### Binary release
77 | 1. From [Github release page](https://github.com/dialogflowai/dialogflow/releases), depending on the operating system, download the application.
78 | 1. Run it directly, or use the `-ip` and `-port` parameters to perform the listening IP address and port, e.g.: `dialogflow -ip 0.0.0.0 -port 8888`.
79 | 1. Open your browser and visit http://localhost:12715 (by default) or http://`new IP`:`new port` to see the application in action
80 | 1. Add a main flow and click its name into it
81 | 1. Create dialog flow by dragging and drop nodes onto canvas
82 | 1. Test it
83 |
--------------------------------------------------------------------------------
/src/flow/rt/executor.rs:
--------------------------------------------------------------------------------
1 | use std::sync::LazyLock;
2 |
3 | use regex::Regex;
4 |
5 | use super::context::Context;
6 | use super::dto::{Request, ResponseChannelWrapper, ResponseData};
7 | use crate::ai::completion::Prompt;
8 | use crate::flow::rt::dto::{StreamingResponseData, UserInputResult};
9 | use crate::flow::rt::node::RuntimeNode;
10 | use crate::intent::detector;
11 | use crate::result::{Error, Result};
12 |
13 | pub(crate) static HTML_TAG_REGEX: LazyLock
89 |
117 |
118 |
122 |
124 |
125 |
127 |
128 |
136 |
137 |
138 |
139 |
140 |
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/frontend/src/main.js:
--------------------------------------------------------------------------------
1 | import { createApp } from 'vue'
2 | import { createRouter, createWebHashHistory } from 'vue-router'
3 | // import ElementPlus from 'element-plus'
4 | // import ElementTiptapPlugin from 'element-tiptap-vue3-fixed';
5 | // import * as ElementPlusIconsVue from '@element-plus/icons-vue'
6 | import i18n from './assets/lang/i18n'
7 | // import VueScrollTo from 'vue-scrollto'
8 | import App from './App.vue'
9 | // import Home from './components/Home.vue'
10 | // import Intro from './components/Intro.vue'
11 | // import Doc from './components/docs/Index.vue'
12 | // import Tutorial from './components/docs/Tutorial.vue'
13 | import GlobalSettings from './components/management/GlobalSettings.vue'
14 | import Settings from './components/management/Settings.vue'
15 | import MainFlow from './components/flow/MainFlow.vue'
16 | import SubFlow from './components/flow/SubFlow.vue'
17 | import IntentList from './components/knowledge/IntentList.vue'
18 | import IntentDetail from './components/knowledge/IntentDetail.vue'
19 | import Variable from './components/variable/Variable.vue'
20 | import Home from './components/Home.vue'
21 | // import Guide from './components/Guide.vue'
22 | import HttpApiList from './components/external/HttpApiList.vue'
23 | import HttpApiDetail from './components/external/HttpApiDetail.vue'
24 | import RobotDetail from './components/robot/RobotDetail.vue'
25 | import RobotFrame from './components/robot/RobotFrame.vue'
26 | import DocList from './components/knowledge/DocList.vue'
27 | import QnAList from './components/knowledge/QnAList.vue'
28 | import NotFound from './components/404.vue'
29 |
30 | // import 'element-plus/dist/index.css'
31 | // import ElementTiptapPlugin from 'element-tiptap-vue3-fixed';
32 | // import 'element-tiptap-vue3-fixed/lib/style.css';
33 |
34 | /*
35 | const routes = [
36 | { path: '/', component: Home },
37 | // { path: '/introduction', component: Intro },
38 | // { path: '/docs', component: Doc },
39 | { path: '/demo/:demo', component: SubFlow },
40 | { path: '/mainflows/:robotId', name: 'mainflows', component: MainFlow },
41 | { path: '/subflow/:robotId/:id/:name', name: 'subflow', component: SubFlow, props: true },
42 | { path: '/settings', component: GlobalSettings },
43 | { path: '/settings/:robotId', name: 'settings', component: Settings },
44 | { path: '/robot/:robotId', name: 'robotDetail', component: RobotDetail },
45 | { path: '/intents/:robotId', name: 'intents', component: IntentList },
46 | { path: '/intent/detail', component: IntentDetail },
47 | { path: '/variables/:robotId', name: 'variables', component: Variable },
48 | // { path: '/tutorial', component: Tutorial },
49 | { path: '/external/httpApis/:robotId', name: 'externalHttpApis', component: HttpApiList },
50 | { path: '/external/httpApi/:robotId/:id', name: 'externalHttpApiDetail', component: HttpApiDetail },
51 | { path: '/kb/doc/:robotId', name: 'kbDoc', component: DocList },
52 | { path: '/kb/qa/:robotId', name: 'kbQA', component: QnAList },
53 | ]
54 | */
55 |
56 | const routes = [
57 | { path: '/', component: Home },
58 | // { path: '/introduction', component: Intro },
59 | // { path: '/docs', component: Doc },
60 | { path: '/demo/:demo', component: SubFlow },
61 | {
62 | path: '/robot/:robotId', component: RobotFrame, children: [
63 | { path: '', name: 'robotDetail', component: RobotDetail },
64 | { path: '/robot/:robotId/mainflows', name: 'mainflows', component: MainFlow },
65 | { path: '/robot/:robotId/kb/doc', name: 'kbDoc', component: DocList },
66 | { path: '/robot/:robotId/kb/qa', name: 'kbQA', component: QnAList },
67 | { path: '/robot/:robotId/settings', name: 'settings', component: Settings },
68 | { path: '/robot/:robotId/intents', name: 'intents', component: IntentList },
69 | { path: '/robot/:robotId/intent/detail', component: IntentDetail },
70 | { path: '/robot/:robotId/variables', name: 'variables', component: Variable },
71 | { path: '/robot/:robotId/external/httpApis', name: 'externalHttpApis', component: HttpApiList },
72 | { path: '/robot/:robotId/external/httpApi/:id', name: 'externalHttpApiDetail', component: HttpApiDetail },
73 | ]
74 | },
75 | { path: '/robot/:robotId/subflow/:id/:name', name: 'subflow', component: SubFlow, props: true },
76 | { path: '/settings', component: GlobalSettings },
77 | // { path: '/tutorial', component: Tutorial },
78 | { path: '/:pathMatch(.*)*', name: 'NotFound', component: NotFound },
79 | ]
80 |
81 | const router = createRouter({
82 | history: createWebHashHistory(),
83 | routes,
84 | scrollBehavior(to, from, savedPosition) {
85 | return { top: 0 }
86 | }
87 | })
88 |
89 | import './assets/main.css'
90 | // import 'bootstrap/dist/css/bootstrap.min.css'
91 | import 'virtual:uno.css'
92 |
93 | // createApp(App).mount('#app')
94 | const app = createApp(App)
95 |
96 | // for (const [key, component] of Object.entries(ElementPlusIconsVue)) {
97 | // app.component(key, component)
98 | // }
99 |
100 | // app.use(ElementPlus)
101 | // app.use(ElementTiptapPlugin)
102 | app.use(router)
103 | app.use(i18n)
104 | // app.use(VueScrollTo)
105 | app.mount('#app')
106 |
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/frontend/src/components/management/GlobalSettings.vue:
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1 |
49 |
50 |
90 | {{ nodeData.nodeName }}
91 |
92 |
99 |
100 |
102 |
103 |
104 |
105 |
106 | {{ nodeData.endingText }}
107 |
108 |
109 |