chore: 优化AI相关内容

package-lock.json

@@ -17,13 +17,14 @@
         "@vue-flow/core": "^1.39.0",
         "@vueuse/components": "^13.3.0",
         "@vueuse/core": "^13.3.0",
-        "axios": "^1.6.8",
+        "axios": "^1.9.0",
         "blueimp-md5": "^2.19.0",
         "crypto-js": "^4.2.0",
         "dayjs": "^1.11.10",
         "echarts": "^5.5.0",
         "echarts-wordcloud": "^2.1.0",
         "element-plus": "^2.8.7",
+        "eventsource-parser": "^3.0.2",
         "file-saver": "^2.0.5",
         "html-to-image": "^1.11.11",
         "jspdf": "^2.5.1",
@@ -3579,9 +3580,9 @@
       }
     },
     "node_modules/axios": {
-      "version": "1.7.7",
-      "resolved": "https://registry.npmjs.org/axios/-/axios-1.7.7.tgz",
-      "integrity": "sha512-S4kL7XrjgBmvdGut0sN3yJxqYzrDOnivkBiN0OFs6hLiUam3UPvswUo0kqGyhqUZGEOytHyumEdXsAkgCOUf3Q==",
+      "version": "1.9.0",
+      "resolved": "https://registry.npmjs.org/axios/-/axios-1.9.0.tgz",
+      "integrity": "sha512-re4CqKTJaURpzbLHtIi6XpDv20/CnpXOtjRY5/CU32L8gU8ek9UIivcfvSWvmKEngmVbrUtPpdDwWDWL7DNHvg==",
       "license": "MIT",
       "dependencies": {
         "follow-redirects": "^1.15.6",
@@ -5453,6 +5454,15 @@
         "node": ">=0.8.x"
       }
     },
+    "node_modules/eventsource-parser": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/eventsource-parser/-/eventsource-parser-3.0.2.tgz",
+      "integrity": "sha512-6RxOBZ/cYgd8usLwsEl+EC09Au/9BcmCKYF2/xbml6DNczf7nv0MQb+7BA2F+li6//I+28VNlQR37XfQtcAJuA==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=18.0.0"
+      }
+    },
     "node_modules/evp_bytestokey": {
       "version": "1.0.3",
       "resolved": "https://registry.npmjs.org/evp_bytestokey/-/evp_bytestokey-1.0.3.tgz",

package.json

@@ -24,13 +24,14 @@
     "@vue-flow/core": "^1.39.0",
     "@vueuse/components": "^13.3.0",
     "@vueuse/core": "^13.3.0",
-    "axios": "^1.6.8",
+    "axios": "^1.9.0",
     "blueimp-md5": "^2.19.0",
     "crypto-js": "^4.2.0",
     "dayjs": "^1.11.10",
     "echarts": "^5.5.0",
     "echarts-wordcloud": "^2.1.0",
     "element-plus": "^2.8.7",
+    "eventsource-parser": "^3.0.2",
     "file-saver": "^2.0.5",
     "html-to-image": "^1.11.11",
     "jspdf": "^2.5.1",

src/assets/styles/base.css

@@ -96,3 +96,26 @@ textarea:focus {
   margin: -8px -15px;
   padding: 8px 15px;
 }
+
+.markdown-body {
+  line-height: 1.6;
+}
+.markdown-body h1 {
+  font-size: 24px;
+}
+.markdown-body h2 {
+  font-size: 20px;
+}
+.markdown-body h3 {
+  font-size: 18px;
+}
+.markdown-body table {
+  width: 100%;
+  border-collapse: collapse;
+  border-spacing: 0;
+}
+.markdown-body table th,
+.markdown-body table td {
+  padding: 8px 16px;
+  border: 1px solid #e6e6e6;
+}

src/composables/useChat.js

@@ -4,9 +4,10 @@ export function useChat() {
   const messages = ref([])
   const isLoading = ref(false)
 
-  async function post(message, isReplace = true) {
+  function post(message, isReplace = true) {
     isLoading.value = true
-    await fetchEventSource('/api/lab/v1/experiment/qwen/chat', {
+    return new Promise((resolve, reject) => {
+      fetchEventSource('/api/lab/v1/experiment/qwen/chat', {
         method: 'POST',
         headers: { 'Content-Type': 'application/json' },
         body: JSON.stringify({ model: 'qwen-long', messages: [message] }),
@@ -14,6 +15,8 @@ export function useChat() {
           if (response.ok) {
             return response
           } else {
+            isLoading.value = false
+            reject(response)
             throw response
           }
         },
@@ -21,6 +24,8 @@ export function useChat() {
           console.log(res.data)
           if (res.data === '[DONE]') {
             isLoading.value = false
+            resolve(messages.value.at(-1))
+            return
           }
           try {
             const message = JSON.parse(res.data)
@@ -42,13 +47,16 @@ export function useChat() {
           } catch (error) {
             console.log(error)
             isLoading.value = false
+            reject(error)
           }
         },
         onerror(err) {
           isLoading.value = false
+          reject(err)
           throw err
         },
       })
+    })
   }
 
   return { messages, post, isLoading }

src/modules/analyze/user/api.ts

@@ -37,5 +37,5 @@ export function getUserTags(params: { sso_id: string; limit: number }) {
 
 // AI分析与总结
 export function getAISummary() {
-  return httpRequest.get('/api/lab/v1/experiment/member/ai-all-person')
+  return httpRequest.get('/api/lab/v1/experiment/member/ai-all-person', { adapter: 'fetch', responseType: 'stream' })
 }

src/modules/analyze/user/components/AISummaryDialog.vue

 <script setup>
 import { getAISummary } from '../api'
+import { aiStreamParse } from '@/utils/parse'
+import VueMarkdown from 'vue-markdown-render'
 
 const content = ref('')
 const isLoading = ref(false)
 async function fetchAI() {
   isLoading.value = true
-  const res = await getAISummary()
-  content.value = res.data.result
+  const stream = await getAISummary()
+  aiStreamParse(stream, (json, messageContent) => {
+    content.value += messageContent
+  })
   isLoading.value = false
 }
 onMounted(() => {
@@ -17,7 +21,7 @@ onMounted(() => {
 <template>
   <el-dialog title="AI用户整体画像分析与建议">
     <div v-loading="isLoading">
-      <el-input type="textarea" :rows="15" :value="content"></el-input>
+      <VueMarkdown :source="content" class="markdown-body" />
     </div>
     <template #footer>
       <el-row justify="center">

src/modules/label/api.ts

 import httpRequest from '@/utils/axios'
-import type { LabelTypeListRequest, LabelTypeCreateRequest, LabelTypeUpdateRequest, LabelListRequest, LabelCreateRequest, LabelUpdateRequest } from './types'
+import type {
+  LabelTypeListRequest,
+  LabelTypeCreateRequest,
+  LabelTypeUpdateRequest,
+  LabelListRequest,
+  LabelCreateRequest,
+  LabelUpdateRequest,
+} from './types'
 
 // 获取标签类型列表
 export function getLabelTypeList(params?: LabelTypeListRequest) {
@@ -73,5 +80,5 @@ export function getLabelMembers(params: { tag_id: string }) {
 
 // AI分析与总结
 export function getAISummary() {
-  return httpRequest.get('/api/lab/v1/experiment/member/ai-tag')
+  return httpRequest.get('/api/lab/v1/experiment/member/ai-tag', { responseType: 'stream', adapter: 'fetch' })
 }

src/modules/label/components/AISummaryDialog.vue

 <script setup>
 import { getAISummary } from '../api'
+import { aiStreamParse } from '@/utils/parse'
+import VueMarkdown from 'vue-markdown-render'
 
 const content = ref('')
 const isLoading = ref(false)
 async function fetchAI() {
   isLoading.value = true
-  const res = await getAISummary()
-  content.value = res.data.result
+  const stream = await getAISummary()
+  aiStreamParse(stream, (json, messageContent) => {
+    content.value += messageContent
+  })
   isLoading.value = false
 }
 onMounted(() => {
@@ -15,9 +19,9 @@ onMounted(() => {
 </script>
 
 <template>
-  <el-dialog title="AI用户整体画像分析与建议">
+  <el-dialog title="AI标签建议">
     <div v-loading="isLoading">
-      <el-input type="textarea" :rows="15" :value="content"></el-input>
+      <VueMarkdown :source="content" class="markdown-body" />
     </div>
     <template #footer>
       <el-row justify="center">

src/modules/live/product/management/components/FormBaseInfo.vue

@@ -3,19 +3,11 @@ import { useChat } from '@/composables/useChat'
 import { getAttrList } from '../api'
 const form = inject('form')
 
-const { isLoading, post, messages } = useChat()
-watch(
-  messages,
-  () => {
-    const lastMessage = messages.value[messages.value.length - 1]
-    if (lastMessage) {
-      form.shopping_guide_short_title = lastMessage.content.replace('推荐导购短标题：', '')
-    }
-  },
-  { deep: true }
-)
+const { post } = useChat()
 
+const descLoading = ref(false)
 function handleAIGenerate() {
+  descLoading.value = true
   post({
     role: 'user',
     content: `请根据以下内容，给出1个用于抖音电商使用的推荐的“导购短标题”内容：${form.title}
@@ -25,6 +17,24 @@ function handleAIGenerate() {
 3. 标题要具有吸引力，能够激发消费者的购买欲望。
 4. 标题要简洁明了，不要过于冗长或复杂。
 5. 输出结果以“推荐导购短标题：”开始`,
+  }).then((res) => {
+    form.shopping_guide_short_title = res.content.replace('推荐导购短标题：', '')
+    descLoading.value = false
+  })
+}
+
+const titleLoading = ref(false)
+function handleAIGenerateTitle() {
+  titleLoading.value = true
+  post({
+    role: 'user',
+    content: `请优化用于抖音电商使用的“商品标题”内容：${form.title}
+    要求：
+1. 标题要简洁明了，一句话描述商品特点，不要超过10个字。
+`,
+  }).then((res) => {
+    form.title = res.content
+    titleLoading.value = false
   })
 }
 
@@ -76,7 +86,13 @@ const unimportanceTotal = computed(() => {
   <div>
     <el-form-item label="商品标题" prop="title" :rules="[{ required: true, message: '请输入', trigger: 'blur' }]">
       <div class="form-tips">标题不规范会有可能引起商品下架，影响您的正常销售，请点击学习商品发布规范认真填写</div>
-      <el-input placeholder="至少输入8个字（16个字符）以上，30个字（60个字符）以下" size="large" v-model="form.title" />
+      <div style="display: flex; width: 100%; align-items: center; gap: 20px">
+        <el-input
+          placeholder="至少输入8个字（16个字符）以上，30个字（60个字符）以下"
+          size="large"
+          v-model="form.title" />
+        <el-button type="primary" plain @click="handleAIGenerateTitle" :loading="titleLoading">一键智能优化</el-button>
+      </div>
     </el-form-item>
     <el-form-item label="导购短标题" prop="shopping_guide_short_title">
       <div class="form-tips">短标题可用于商品搜索、首页推荐、物流单等场景，请提炼商品关键信息，客观准确填写</div>
@@ -86,7 +102,7 @@ const unimportanceTotal = computed(() => {
           size="large"
           v-model="form.shopping_guide_short_title"
           style="flex: 1" />
-        <el-button type="primary" plain @click="handleAIGenerate" :loading="isLoading">一键智能推荐</el-button>
+        <el-button type="primary" plain @click="handleAIGenerate" :loading="descLoading">一键智能推荐</el-button>
       </div>
     </el-form-item>
     <el-form-item

src/modules/live/test/components/Demo.vue

@@ -102,6 +102,7 @@ const onStatsChange = (stats) => {
       <template v-else>
         <Live
           ref="live"
+          :orderCount="orderCount"
           :isLocalUpload="isLocalUpload"
           :onStart="() => reset(duration)"
           :onStop="stop"
@@ -154,13 +155,13 @@ const onStatsChange = (stats) => {
       <div class="live-col-box" v-else>
         <h2 class="h2-title">倒计时</h2>
         <h3 class="live-time">{{ formattedTime }}</h3>
-        <div class="live-data">
+        <div class="live-data2">
           <dl>
-            <dt>观众人数：</dt>
+            <dt>观众人数</dt>
             <dd>{{ currentStats.viewers }}</dd>
           </dl>
           <dl>
-            <dt>订单量：</dt>
+            <dt>订单量</dt>
             <dd>{{ orderCount }}</dd>
           </dl>
         </div>
@@ -220,6 +221,25 @@ const onStatsChange = (stats) => {
     font-weight: bold;
   }
 }
+.live-data2 {
+  display: flex;
+  gap: 10px;
+  text-align: center;
+  dl {
+    flex: 1;
+    text-align: center;
+    margin-bottom: 40px;
+  }
+  dt {
+    font-size: 20px;
+    font-weight: bold;
+  }
+  dd {
+    font-size: 42px;
+    text-align: center;
+    color: var(--main-color);
+  }
+}
 .live-time {
   height: 140px;
   font-size: 72px;

src/modules/live/test/components/Live.vue

@@ -14,6 +14,7 @@ import { useLiveChat } from '../composables/useLiveChat'
 import { useSpeechTranscriber } from '../composables/useSpeechTranscriber'
 
 const props = defineProps({
+  orderCount: { type: Number, default: 0 },
   isLocalUpload: { type: Boolean, default: false },
   onStart: { type: Function, default: () => {} },
   onStop: { type: Function, default: () => {} },
@@ -129,6 +130,7 @@ const handleUpdateRecord = async (params) => {
     live_duration: duration.value.toString(),
     live_video_addres: fileUrl.value,
     live_info: JSON.stringify({ messages: messages.value, stats }),
+    order_count: props.orderCount,
   }
   const requestParams = { ...defaultParams, ...params }
   if (!requestParams.live_practice_id) return

src/modules/user/api.ts

@@ -128,5 +128,9 @@ export function clearMember() {
 
 // AI分析与总结
 export function getAISummary(params: { member_id: string }) {
-  return httpRequest.get('/api/lab/v1/experiment/member/ai-one-person', { params })
+  return httpRequest.get('/api/lab/v1/experiment/member/ai-one-person', {
+    params,
+    responseType: 'stream',
+    adapter: 'fetch',
+  })
 }

src/modules/user/components/AISummaryDialog.vue

 <script setup>
 import { getAISummary } from '../api'
+import { aiStreamParse } from '@/utils/parse'
+import VueMarkdown from 'vue-markdown-render'
 
 const props = defineProps(['id'])
 
@@ -7,8 +9,10 @@ const content = ref('')
 const isLoading = ref(false)
 async function fetchAI() {
   isLoading.value = true
-  const res = await getAISummary({ member_id: props.id })
-  content.value = res.data.result
+  const stream = await getAISummary({ member_id: props.id })
+  aiStreamParse(stream, (json, messageContent) => {
+    content.value += messageContent
+  })
   isLoading.value = false
 }
 onMounted(() => {
@@ -19,7 +23,7 @@ onMounted(() => {
 <template>
   <el-dialog title="AI用户画像分析与建议">
     <div v-loading="isLoading">
-      <el-input type="textarea" :rows="15" :value="content"></el-input>
+      <VueMarkdown :source="content" class="markdown-body" />
     </div>
     <template #footer>
       <el-row justify="center">

src/utils/parse.ts

+import { createParser, type EventSourceMessage } from 'eventsource-parser'
+
+export async function parse(stream: ReadableStream<Uint8Array>, onEvent: (event: EventSourceMessage) => void) {
+  const parser = createParser({ onEvent })
+  const reader = stream.getReader()
+  const decoder = new TextDecoder()
+
+  while (true) {
+    const { done, value } = await reader.read()
+    if (done) break
+    parser.feed(decoder.decode(value, { stream: true }))
+  }
+}
+
+export async function aiStreamParse(
+  stream: ReadableStream<Uint8Array>,
+  onMessage: (json: any, content: string) => void
+) {
+  parse(stream, (event) => {
+    if (event.data === '[DONE]') return
+    const json = JSON.parse(event.data)
+    onMessage(json, json.choices[0].delta.content)
+  })
+}