Merge branch 'main' of https://github.com/maxkb-dev/maxkb

Author: liqiang-fit2cloud

README.md

@@ -1,6 +1,5 @@
 <p align="center"><img src= "https://github.com/1Panel-dev/maxkb/assets/52996290/c0694996-0eed-40d8-b369-322bf2a380bf" alt="MaxKB" width="300" /></p>
-<h3 align="center">Ready-to-use RAG Chatbot</h3>
-<h3 align="center">基于大模型和 RAG 的开源知识库问答系统</h3>
+<h3 align="center">Ready-to-use AI Chatbot</h3>
 <p align="center"><a href="https://trendshift.io/repositories/9113" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9113" alt="1Panel-dev%2FMaxKB | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a></p>
 <p align="center">
   <a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb?color=%231890FF" alt="License: GPL v3"></a>
@@ -11,7 +10,7 @@
 </p>
 <hr/>
 
-MaxKB = Max Knowledge Base, it is a ready-to-use RAG chatbot that features robust workflow and MCP tool-use capabilities. MaxKB is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education.
+MaxKB = Max Knowledge Base, it is a ready-to-use AI chatbot that integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities. MaxKB is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education.
 
 - **Ready-to-Use**: Supports direct uploading of documents / automatic crawling of online documents, with features for automatic text splitting, vectorization, and RAG (Retrieval-Augmented Generation). This effectively reduces hallucinations in large models, providing a superior smart Q&A interaction experience.
 - **Flexible Orchestration**: Equipped with a powerful workflow engine, function library and MCP tool-use, enabling the orchestration of AI processes to meet the needs of complex business scenarios. 

ui/src/components/ai-chat/component/answer-content/index.vue

@@ -1,15 +1,15 @@
 <template>
   <div class="item-content mb-16 lighter">
     <template v-for="(answer_text, index) in answer_text_list" :key="index">
-      <div class="avatar mr-8" v-if="application.show_avatar">
+      <div class="avatar mr-8" v-if="showAvatar">
         <img v-if="application.avatar" :src="application.avatar" height="28px" width="28px" />
         <LogoIcon v-else height="28px" width="28px" />
       </div>
       <div
         class="content"
         @mouseup="openControl"
         :style="{
-          'padding-right': application.show_user_avatar ? 'var(--padding-left)' : '0'
+          'padding-right': showAvatar ? 'var(--padding-left)' : '0'
         }"
       >
         <el-card shadow="always" class="mb-8 border-r-8" style="--el-card-padding: 6px 16px">
@@ -51,8 +51,8 @@
     <div
       class="content"
       :style="{
-        'padding-left': application.show_avatar ? 'var(--padding-left)' : '0',
-        'padding-right': application.show_user_avatar ? 'var(--padding-left)' : '0'
+        'padding-left': showAvatar ? 'var(--padding-left)' : '0',
+        'padding-right': showAvatar ? 'var(--padding-left)' : '0'
       }"
     >
       <OperationButton
@@ -75,6 +75,7 @@ import OperationButton from '@/components/ai-chat/component/operation-button/ind
 import { type chatType } from '@/api/type/application'
 import { computed } from 'vue'
 import bus from '@/bus'
+import useStore from '@/stores'
 const props = defineProps<{
   chatRecord: chatType
   application: any
@@ -84,8 +85,14 @@ const props = defineProps<{
   type: 'log' | 'ai-chat' | 'debug-ai-chat'
 }>()
 
+const { user } = useStore()
+
 const emit = defineEmits(['update:chatRecord'])
 
+const showAvatar = computed(() => {
+  return user.isEnterprise() ? props.application.show_avatar : true
+})
+
 const chatMessage = (question: string, type: 'old' | 'new', other_params_data?: any) => {
   if (type === 'old') {
     add_answer_text_list(props.chatRecord.answer_text_list)

ui/src/components/ai-chat/component/prologue-content/index.vue

@@ -1,15 +1,15 @@
 <template>
   <!-- 开场白组件 -->
   <div class="item-content mb-16">
-    <div class="avatar mr-8" v-if="prologue && application.show_avatar">
+    <div class="avatar mr-8" v-if="prologue && showAvatar">
       <img v-if="application.avatar" :src="application.avatar" height="28px" width="28px" />
       <LogoIcon v-else height="28px" width="28px" />
     </div>
     <div
       class="content"
       v-if="prologue"
       :style="{
-        'padding-right': application.show_user_avatar ? 'var(--padding-left)' : '0'
+        'padding-right': showUserAvatar ? 'var(--padding-left)' : '0'
       }"
     >
       <el-card shadow="always" class="border-r-8" style="--el-card-padding: 10px 16px 12px">
@@ -27,12 +27,23 @@ import { type chatType } from '@/api/type/application'
 import { computed } from 'vue'
 import MdRenderer from '@/components/markdown/MdRenderer.vue'
 import { t } from '@/locales'
+import useStore from '@/stores'
 const props = defineProps<{
   application: any
   available: boolean
   type: 'log' | 'ai-chat' | 'debug-ai-chat'
   sendMessage: (question: string, other_params_data?: any, chat?: chatType) => void
 }>()
+
+const { user } = useStore()
+
+const showAvatar = computed(() => {
+  return user.isEnterprise() ? props.application.show_avatar : true
+})
+const showUserAvatar = computed(() => {
+  return user.isEnterprise() ? props.application.show_user_avatar : true
+})
+
 const toQuickQuestion = (match: string, offset: number, input: string) => {
   return `<quick_question>${match.replace('- ', '')}</quick_question>`
 }

ui/src/components/ai-chat/component/question-content/index.vue

@@ -63,7 +63,7 @@
         <span> {{ chatRecord.problem_text }}</span>
       </div>
     </div>
-    <div class="avatar ml-8" v-if="application.show_user_avatar">
+    <div class="avatar ml-8" v-if="showAvatar">
       <el-image
         v-if="application.user_avatar"
         :src="application.user_avatar"
@@ -81,12 +81,18 @@
 import { type chatType } from '@/api/type/application'
 import { getImgUrl, getAttrsArray, downloadByURL } from '@/utils/utils'
 import { onMounted, computed } from 'vue'
-
+import useStore from '@/stores'
 const props = defineProps<{
   application: any
   chatRecord: chatType
   type: 'log' | 'ai-chat' | 'debug-ai-chat'
 }>()
+
+const { user } = useStore()
+
+const showAvatar = computed(() => {
+  return user.isEnterprise() ? props.application.show_user_avatar : true
+})
 const document_list = computed(() => {
   if (props.chatRecord?.upload_meta) {
     return props.chatRecord.upload_meta?.document_list || []

ui/src/workflow/nodes/condition-node/index.vue

@@ -23,7 +23,9 @@
             v-resize="(wh: any) => resizeCondition(wh, item, index)"
             shadow="never"
             class="drag-card card-never mb-8"
-            :class="{ 'no-drag': index === form_data.branch.length - 1 }"
+            :class="{
+              'no-drag': index === form_data.branch.length - 1 || form_data.branch.length === 2
+            }"
             style="--el-card-padding: 12px"
           >
             <div class="handle flex-between lighter">
@@ -245,7 +247,12 @@ function onEnd(event?: any) {
   const { oldIndex, newIndex, clonedData } = event
   if (oldIndex === undefined || newIndex === undefined) return
   const list = cloneDeep(props.nodeModel.properties.node_data.branch)
-
+  if (oldIndex === list.length - 1 || newIndex === list.length - 1) {
+    list[newIndex] = list[oldIndex]
+    list[oldIndex] = clonedData
+    set(props.nodeModel.properties.node_data, 'branch', list)
+    return
+  }
   list[newIndex].type = list[oldIndex].type
   list[oldIndex].type = clonedData.type // 恢复原始 type
   set(props.nodeModel.properties.node_data, 'branch', list)