452 lines
12 KiB
Vue
452 lines
12 KiB
Vue
<template>
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<div ref="aiChatRef" class="ai-chat" :class="type == 'log' ? 'chart-log' : ''">
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<UserForm
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v-model:api_form_data="api_form_data"
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v-model:form_data="form_data"
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:application="applicationDetails"
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:type="type"
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ref="userFormRef"
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></UserForm>
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<el-scrollbar ref="scrollDiv" @scroll="handleScrollTop">
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<div ref="dialogScrollbar" class="ai-chat__content p-24">
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<PrologueContent
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:type="type"
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:application="applicationDetails"
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:available="available"
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:send-message="sendMessage"
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></PrologueContent>
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<template v-for="(item, index) in chatList" :key="index">
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<!-- 问题 -->
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<QuestionContent :application="applicationDetails" :chat-record="item"></QuestionContent>
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<!-- 回答 -->
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<AnswerContent
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:application="applicationDetails"
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:loading="loading"
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:chat-record="item"
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:type="type"
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:send-message="sendMessage"
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:chat-management="ChatManagement"
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></AnswerContent>
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</template>
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</div>
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</el-scrollbar>
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<ChatInputOperate
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:app-id="appId"
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:application-details="applicationDetails"
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:is-mobile="isMobile"
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:type="type"
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:send-message="sendMessage"
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v-model:chat-id="chartOpenId"
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v-model:loading="loading"
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v-if="type !== 'log'"
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></ChatInputOperate>
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</div>
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</template>
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<script setup lang="ts">
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import { ref, nextTick, computed, watch, reactive, onMounted, onBeforeUnmount } from 'vue'
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import { useRoute } from 'vue-router'
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import applicationApi from '@/api/application'
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import logApi from '@/api/log'
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import { ChatManagement, type chatType } from '@/api/type/application'
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import { randomId } from '@/utils/utils'
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import useStore from '@/stores'
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import { isWorkFlow } from '@/utils/application'
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import { debounce } from 'lodash'
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import AnswerContent from '@/components/ai-chat/component/answer-content/index.vue'
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import QuestionContent from '@/components/ai-chat/component/question-content/index.vue'
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import ChatInputOperate from '@/components/ai-chat/component/chat-input-operate/index.vue'
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import PrologueContent from '@/components/ai-chat/component/prologue-content/index.vue'
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import UserForm from '@/components/ai-chat/component/user-form/index.vue'
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defineOptions({ name: 'AiChat' })
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const route = useRoute()
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const {
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params: { accessToken, id },
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query: { mode }
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} = route as any
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const props = withDefaults(
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defineProps<{
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applicationDetails: any
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type?: 'log' | 'ai-chat' | 'debug-ai-chat'
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appId?: string
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record?: Array<chatType>
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available?: boolean
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chatId?: string
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}>(),
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{
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applicationDetails: () => ({}),
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available: true,
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type: 'ai-chat'
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}
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)
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const emit = defineEmits(['refresh', 'scroll'])
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const { application, common } = useStore()
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const isMobile = computed(() => {
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return common.isMobile() || mode === 'embed'
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})
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const aiChatRef = ref()
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const scrollDiv = ref()
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const dialogScrollbar = ref()
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const loading = ref(false)
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const inputValue = ref<string>('')
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const chartOpenId = ref<string>('')
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const chatList = ref<any[]>([])
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const form_data = ref<any>({})
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const api_form_data = ref<any>({})
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const userFormRef = ref<InstanceType<typeof UserForm>>()
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watch(
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() => props.chatId,
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(val) => {
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if (val && val !== 'new') {
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chartOpenId.value = val
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} else {
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chartOpenId.value = ''
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}
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},
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{ deep: true }
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)
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watch(
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() => props.applicationDetails,
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() => {
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chartOpenId.value = ''
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},
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{ deep: true }
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)
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watch(
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() => props.record,
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(value) => {
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chatList.value = value ? value : []
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},
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{
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immediate: true
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}
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)
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function sendMessage(val: string, other_params_data?: any, chat?: chatType) {
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if (!userFormRef.value?.checkInputParam()) {
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return
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}
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if (!loading.value && props.applicationDetails?.name) {
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handleDebounceClick(val, other_params_data, chat)
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}
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}
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const handleDebounceClick = debounce((val, other_params_data?: any, chat?: chatType) => {
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chatMessage(chat, val, false, other_params_data)
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}, 200)
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/**
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* 对话
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*/
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function getChartOpenId(chat?: any) {
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loading.value = true
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const obj = props.applicationDetails
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if (props.appId) {
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return applicationApi
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.getChatOpen(props.appId)
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.then((res) => {
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chartOpenId.value = res.data
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chatMessage(chat)
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})
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.catch((res) => {
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if (res.response.status === 403) {
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application.asyncAppAuthentication(accessToken).then(() => {
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getChartOpenId(chat)
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})
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} else {
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loading.value = false
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return Promise.reject(res)
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}
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})
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} else {
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if (isWorkFlow(obj.type)) {
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const submitObj = {
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work_flow: obj.work_flow
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}
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return applicationApi
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.postWorkflowChatOpen(submitObj)
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.then((res) => {
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chartOpenId.value = res.data
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chatMessage(chat)
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})
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.catch((res) => {
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loading.value = false
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return Promise.reject(res)
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})
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} else {
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return applicationApi
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.postChatOpen(obj)
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.then((res) => {
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chartOpenId.value = res.data
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chatMessage(chat)
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})
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.catch((res) => {
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loading.value = false
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return Promise.reject(res)
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})
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}
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}
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}
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/**
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* 获取一个递归函数,处理流式数据
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* @param chat 每一条对话记录
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* @param reader 流数据
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* @param stream 是否是流式数据
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*/
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const getWrite = (chat: any, reader: any, stream: boolean) => {
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let tempResult = ''
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/**
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*
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* @param done 是否结束
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* @param value 值
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*/
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const write_stream = ({ done, value }: { done: boolean; value: any }) => {
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try {
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if (done) {
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ChatManagement.close(chat.id)
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return
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}
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const decoder = new TextDecoder('utf-8')
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let str = decoder.decode(value, { stream: true })
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// 这里解释一下 start 因为数据流返回流并不是按照后端chunk返回 我们希望得到的chunk是data:{xxx}\n\n 但是它获取到的可能是 data:{ -> xxx}\n\n 总而言之就是 fetch不能保证每个chunk都说以data:开始 \n\n结束
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tempResult += str
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const split = tempResult.match(/data:.*}\n\n/g)
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if (split) {
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str = split.join('')
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tempResult = tempResult.replace(str, '')
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} else {
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return reader.read().then(write_stream)
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}
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// 这里解释一下 end
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if (str && str.startsWith('data:')) {
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if (split) {
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for (const index in split) {
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const chunk = JSON?.parse(split[index].replace('data:', ''))
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chat.chat_id = chunk.chat_id
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chat.record_id = chunk.id
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const content = chunk?.content
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if (content) {
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ChatManagement.append(chat.id, content)
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}
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if (chunk.is_end) {
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// 流处理成功 返回成功回调
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return Promise.resolve()
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}
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}
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}
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}
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} catch (e) {
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return Promise.reject(e)
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}
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return reader.read().then(write_stream)
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}
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/**
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* 处理 json 响应
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* @param param0
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*/
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const write_json = ({ done, value }: { done: boolean; value: any }) => {
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if (done) {
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const result_block = JSON.parse(tempResult)
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if (result_block.code === 500) {
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return Promise.reject(result_block.message)
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} else {
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if (result_block.content) {
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ChatManagement.append(chat.id, result_block.content)
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}
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}
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ChatManagement.close(chat.id)
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return
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}
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if (value) {
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const decoder = new TextDecoder('utf-8')
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tempResult += decoder.decode(value)
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}
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return reader.read().then(write_json)
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}
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return stream ? write_stream : write_json
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}
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const errorWrite = (chat: any, message?: string) => {
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ChatManagement.addChatRecord(chat, 50, loading)
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ChatManagement.write(chat.id)
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ChatManagement.append(chat.id, message || '抱歉，当前正在维护，无法提供服务，请稍后再试！')
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ChatManagement.updateStatus(chat.id, 500)
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ChatManagement.close(chat.id)
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}
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// 保存上传文件列表
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function chatMessage(chat?: any, problem?: string, re_chat?: boolean, other_params_data?: any) {
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loading.value = true
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if (!chat) {
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chat = reactive({
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id: randomId(),
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problem_text: problem ? problem : inputValue.value.trim(),
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answer_text: '',
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answer_text_list: [''],
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buffer: [],
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write_ed: false,
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is_stop: false,
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record_id: '',
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chat_id: '',
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vote_status: '-1',
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status: undefined
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})
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chatList.value.push(chat)
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ChatManagement.addChatRecord(chat, 50, loading)
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ChatManagement.write(chat.id)
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inputValue.value = ''
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nextTick(() => {
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// 将滚动条滚动到最下面
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scrollDiv.value.setScrollTop(getMaxHeight())
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})
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}
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if (!chartOpenId.value) {
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getChartOpenId(chat).catch(() => {
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errorWrite(chat)
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})
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} else {
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const obj = {
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message: chat.problem_text,
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re_chat: re_chat || false,
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...other_params_data,
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form_data: {
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...form_data.value,
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...api_form_data.value
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}
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}
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// 对话
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applicationApi
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.postChatMessage(chartOpenId.value, obj)
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.then((response) => {
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if (response.status === 401) {
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application
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.asyncAppAuthentication(accessToken)
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.then(() => {
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chatMessage(chat, problem)
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})
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.catch(() => {
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errorWrite(chat)
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})
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} else if (response.status === 460) {
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return Promise.reject('无法识别用户身份')
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} else if (response.status === 461) {
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return Promise.reject('抱歉，您的提问已达到最大限制，请明天再来吧！')
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} else {
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nextTick(() => {
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// 将滚动条滚动到最下面
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scrollDiv.value.setScrollTop(getMaxHeight())
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})
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const reader = response.body.getReader()
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// 处理流数据
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const write = getWrite(
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chat,
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reader,
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response.headers.get('Content-Type') !== 'application/json'
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)
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return reader.read().then(write)
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}
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})
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.then(() => {
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if (props.chatId === 'new') {
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emit('refresh', chartOpenId.value)
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}
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return (id || props.applicationDetails?.show_source) && getSourceDetail(chat)
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})
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.finally(() => {
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ChatManagement.close(chat.id)
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})
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.catch((e: any) => {
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errorWrite(chat, e + '')
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})
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}
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}
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/**
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* 获取对话详情
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* @param row
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*/
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function getSourceDetail(row: any) {
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logApi.getRecordDetail(id || props.appId, row.chat_id, row.record_id, loading).then((res) => {
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const exclude_keys = ['answer_text', 'id', 'answer_text_list']
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Object.keys(res.data).forEach((key) => {
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if (!exclude_keys.includes(key)) {
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row[key] = res.data[key]
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}
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})
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})
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return true
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}
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/**
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* 滚动条距离最上面的高度
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*/
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const scrollTop = ref(0)
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const scorll = ref(true)
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const getMaxHeight = () => {
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return dialogScrollbar.value!.scrollHeight
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}
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/**
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* 滚动滚动条到最上面
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* @param $event
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*/
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const handleScrollTop = ($event: any) => {
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scrollTop.value = $event.scrollTop
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if (
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dialogScrollbar.value.scrollHeight - (scrollTop.value + scrollDiv.value.wrapRef.offsetHeight) <=
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30
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) {
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scorll.value = true
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} else {
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scorll.value = false
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}
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emit('scroll', { ...$event, dialogScrollbar: dialogScrollbar.value, scrollDiv: scrollDiv.value })
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}
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/**
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* 处理跟随滚动条
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*/
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const handleScroll = () => {
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if (props.type !== 'log' && scrollDiv.value) {
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// 内部高度小于外部高度 就需要出滚动条
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if (scrollDiv.value.wrapRef.offsetHeight < dialogScrollbar.value.scrollHeight) {
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// 如果当前滚动条距离最下面的距离在 规定距离 滚动条就跟随
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if (scorll.value) {
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scrollDiv.value.setScrollTop(getMaxHeight())
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}
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}
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}
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}
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onMounted(() => {
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window.sendMessage = sendMessage
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})
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onBeforeUnmount(() => {
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window.sendMessage = null
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})
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function setScrollBottom() {
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// 将滚动条滚动到最下面
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scrollDiv.value.setScrollTop(getMaxHeight())
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}
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watch(
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chatList,
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() => {
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handleScroll()
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},
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{ deep: true, immediate: true }
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)
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defineExpose({
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setScrollBottom
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})
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</script>
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<style lang="scss" scoped>
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@import './index.scss';
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</style>
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