529 lines
13 KiB
Vue
529 lines
13 KiB
Vue
<template>
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<div class="agent-container flex flex-col">
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<div class="agent-header flex align-center space-between">
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<div class="header-title-wrapper">
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<div class="agent-title">{{ props.title }}</div>
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<div class="agent-name">AI Assistant 1.0</div>
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</div>
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<!-- <SvgIcon name="equal" color="#0d0d0d" size="24" /> -->
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</div>
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<div class="agent-body flex-1 flex flex-col">
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<List ref="listRef" :message-list="messageList" @regenerate="handleRegenerate" />
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<Input
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ref="inputRef"
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is-agent-mode
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:generating="isGenerating"
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@send="handleSendMessage"
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@pause="handlePause"
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/>
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</div>
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</div>
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</template>
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<script setup lang="ts">
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import { ref, reactive, computed, onUnmounted, onMounted, nextTick, watch } from 'vue'
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import List from './List.vue'
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import Input from '../../components/Input.vue'
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import { fetchAgentReply } from '@/api/agent'
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import type { AgentParamsType } from '@/api/agent'
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import { useUserInfoStore, useProjectStore } from '@/stores'
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import { useAgentStore } from '@/stores/agent'
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const userStore = useUserInfoStore()
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const agentStore = useAgentStore()
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const projectStore = useProjectStore()
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const emits = defineEmits(['update:sketchList'])
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const props = withDefaults(
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defineProps<{
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title: string
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}>(),
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{
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title: 'Retro Sofa Sketch'
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}
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)
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const messageList = ref([])
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const listRef = ref()
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const inputRef = ref()
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const isGenerating = ref(false)
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const isPaused = ref(false) // 标记是否为主动暂停
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const params = reactive<AgentParamsType>({
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projectID: projectStore.state.id,
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message: '',
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token: userStore.state.token,
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versionID: '',
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configParams: {
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type: '',
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region: '',
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style: ''
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},
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imageUrlList: []
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})
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const sketchList = ref([])
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watch(
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sketchList,
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(newVal) => {
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emits('update:sketchList', newVal)
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},
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{ deep: true }
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)
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// 每次请求时创建新的 AbortController
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let abort: AbortController
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const createAbortController = () => {
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// 如果已有未完成的中止，先中止它
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if (abort) {
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abort.abort()
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}
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abort = new AbortController()
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return abort
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}
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onUnmounted(() => {
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abort?.abort()
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})
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onMounted(() => {
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// 检查 store 中是否有初始项目数据
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// projectStore.setId('1') // 临时设置项目ID为1，实际应用中应根据上下文动态设置
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const initialData = agentStore.getInitialProjectData
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if (initialData) {
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// 等待页面渲染完成后自动发送初始消息
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params.configParams = {
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type: initialData.type,
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region: initialData.area,
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style: initialData.style,
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temperature: 0.7
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}
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handleSendMessage({
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text: initialData.text,
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images: initialData.images,
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tempImages: initialData.tempImages
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})
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// 更新 configParams
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// 清空初始数据
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agentStore.clearInitialProjectData()
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}
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})
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const handleSendMessage = async (
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message: {
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text: string
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images: Array<{ url: string; name: string }>
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tempImages: any[]
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},
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skipUserMessage = false
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) => {
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isPaused.value = false
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isGenerating.value = true
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params.message = message.text
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params.imageUrlList = message.images || []
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// 如果不是重新生成模式，则添加用户消息到列表
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if (!skipUserMessage) {
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messageList.value.push({
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id: messageList.value.length + 1,
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text: message.text,
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isUser: true,
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imageUrls: message.tempImages
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})
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}
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// Add AI loading message
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const aiMessage = reactive({
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id: messageList.value.length + 1,
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text: '',
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isUser: false,
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loading: true,
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thinking: false,
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thinkingText: '',
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thinkingCollapsed: false,
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streaming: true
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})
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messageList.value.push(aiMessage)
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// 创建新的 AbortController
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const abortController = createAbortController()
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// console.log('token---', params.token, '参数---', params)
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try {
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const urlParams = new URLSearchParams<AgentParamsType>({
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...params,
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configParams: JSON.stringify(params.configParams)
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})
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const BASEURL = import.meta.env.VITE_APP_URL
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const response = await fetch(`${BASEURL}/api/ai-design/chat?${urlParams.toString()}`, {
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method: 'GET',
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signal: abortController.signal
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})
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// 检查响应内容类型，判断是否为流式响应
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const contentType = response.headers.get('content-type') || ''
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const isStreamResponse =
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contentType.includes('text/event-stream') || contentType.includes('stream')
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if (!response.ok) {
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// 非流式错误响应，使用 text() 读取错误信息
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const errorText = await response.text()
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console.error('请求错误:', errorText)
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if (!isPaused.value) {
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aiMessage.text = '发送失败,请重试'
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}
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aiMessage.streaming = false
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aiMessage.loading = false
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isGenerating.value = false
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return
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}
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// 不是流式响应，使用 text()读取错误信息
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if (!isStreamResponse) {
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const text = await response.text()
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try {
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const errorData = JSON.parse(text)
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console.error('非流式响应:', errorData)
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} catch (e) {
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console.error('非流式响应文本:', text)
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}
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if (!isPaused.value) {
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aiMessage.text = '发送失败,请重试'
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}
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aiMessage.streaming = false
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aiMessage.loading = false
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isGenerating.value = false
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return
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}
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// 流式响应处理
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let contentBody = ''
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let buffer = ''
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const reader = response.body?.getReader()
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if (!reader) throw new Error('无法获取流读取器')
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const decoder = new TextDecoder()
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try {
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let flag = true
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while (flag) {
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const { done, value } = await reader.read()
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if (done) {
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// console.log('传输结束 end---', contentBody)
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aiMessage.streaming = false
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aiMessage.loading = false
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isGenerating.value = false
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flag = false
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break
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}
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buffer += decoder.decode(value, { stream: true })
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console.log('收到chunk',new Date().getTime());
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// 优先按空行拆分事件块（SSE标准）
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let events = buffer.split(/\n\n/)
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buffer = events.pop() // 保留不完整块
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for (let event of events) {
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if (!event.trim()) continue
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// 过滤掉 id: 等字段，只取 data:
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let isNodeIdEvent = false
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if (event.startsWith('event:')) {
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isNodeIdEvent = true
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// continue
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}
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console.log('event', event)
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if (event.includes('error')) {
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aiMessage.text = '出现错误,请重试'
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aiMessage.streaming = false
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aiMessage.loading = false
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isGenerating.value = false
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flag = false
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break
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}
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const dataLines = event
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.split(/\n/)
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.filter((line) => line.startsWith('data:'))
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.map((line) => line.replace(/^data:\s*/, '').trim())
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// console.log('dataLInes', dataLines)
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if (isNodeIdEvent) {
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params.versionID = dataLines[0]
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projectStore.setProject({ nodeId: dataLines[0] })
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}
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if (dataLines.length === 0) continue
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const jsonText = dataLines.join('\n')
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try {
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const jsonData = JSON.parse(jsonText)
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// console.log('jsonData', jsonData)
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// 赋值 project_id 和 version_id
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// if (jsonData.project_id) params.projectID = jsonData.project_id
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// if (jsonData.version_id) params.versionID = jsonData.version_id
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if (jsonData.image_url) {
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sketchList.value.push(jsonData.image_url)
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}
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if (
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jsonData.content &&
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jsonData.content.length > 0 &&
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jsonData.type !== 'end'
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) {
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contentBody += jsonData.content
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aiMessage.text = contentBody
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aiMessage.loading = false
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}
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if (jsonData.type === 'end') {
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aiMessage.streaming = false
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aiMessage.loading = false
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isGenerating.value = false
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flag = false
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break
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}
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} catch (e) {
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// 检查是否为纯文本 [DONE]
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if (jsonText.trim() === '[DONE]') {
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console.log('结束-----------------------')
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aiMessage.streaming = false
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aiMessage.loading = false
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isGenerating.value = false
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flag = false
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break
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}
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// JSON 不完整：保留到下一次循环
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if (!jsonText.trim().endsWith('}')) {
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buffer = 'data: ' + jsonText // 重新放回缓存
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continue
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} else {
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console.warn('⚠️ JSON 格式错误，跳过:', jsonText)
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}
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}
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}
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}
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} catch (error) {
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console.error('流式传输错误:', error)
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if (!isPaused.value) {
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aiMessage.text = '发送失败,请重试'
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}
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aiMessage.streaming = false
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aiMessage.loading = false
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isGenerating.value = false
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} finally {
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reader.releaseLock()
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}
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} catch (error) {
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console.error('fetch请求失败:', error)
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if (!isPaused.value) {
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aiMessage.text = '发送失败,请重试'
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}
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aiMessage.streaming = false
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aiMessage.loading = false
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isGenerating.value = false
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}
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}
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const handlePause = () => {
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isPaused.value = true
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isGenerating.value = false
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abort?.abort()
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}
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const handleRegenerate = async (aiMessage: any) => {
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// 找到当前 AI 消息在列表中的索引
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const aiIndex = messageList.value.findIndex((msg) => msg.id === aiMessage.id)
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if (aiIndex === -1) return
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// 找到对应的用户消息（AI 消息前面的最近一条用户消息）
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let userMessage = null
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for (let i = aiIndex - 1; i >= 0; i--) {
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if (messageList.value[i].isUser) {
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userMessage = messageList.value[i]
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break
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}
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}
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if (!userMessage) return
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// 删除当前的 AI 回复消息
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messageList.value.splice(aiIndex, 1)
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// 重新调用 API（跳过用户消息添加，因为用户消息已存在）
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await handleSendMessage(
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{
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text: userMessage.text,
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images: userMessage.images || []
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},
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true
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)
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}
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// 处理对话列表，将连续的 assistant 消息合并为一条
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const processDialogue = (dialogue, startIndex, existingImgList) => {
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if (!dialogue || dialogue.length === 0) return []
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const result = []
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let i = startIndex
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while (i < dialogue.length) {
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const item = dialogue[i]
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if (item.image_url) {
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existingImgList.push(item.image_url)
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}
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if (item.role === 'user') {
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// user 角色直接添加
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result.push({
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...item,
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text: item.content,
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isUser: true,
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id: result.length + 1
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})
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i++
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} else if (item.role === 'assistant') {
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// assistant 角色，拼接直到下一个 user
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let combinedContent = item.content || ''
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// 继续往后找连续的 assistant 消息
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let j = i + 1
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while (j < dialogue.length && dialogue[j].role === 'assistant') {
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if (dialogue[j].image_url) {
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existingImgList.push(dialogue[j].image_url)
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}
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combinedContent += dialogue[j].content || ''
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j++
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}
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result.push({
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...item,
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content: combinedContent,
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text: combinedContent,
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isUser: false,
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id: result.length + 1
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})
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i = j
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} else {
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// 其他角色直接添加
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result.push({
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...item,
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text: item.content,
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isUser: item.role === 'user',
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id: result.length + 1
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})
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i++
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}
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}
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return result
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}
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const setChatInfo = (info) => {
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const initialData = agentStore.getInitialProjectData
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if (isGenerating.value || initialData) return
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const data = info.conversation
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let project = info.project
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if (info.id) {
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project = info
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}
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params.versionID = ''
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sketchList.value = []
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if (project) {
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params.configParams.type = project.type
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params.configParams.region = project.area
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params.configParams.style = project.style
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params.configParams.temperature = project.temperature
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}
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// 如果没有数据，直接返回
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if (!data) {
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messageList.value = []
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return
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}
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const { ancestors, current } = data
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const imgList = []
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const ancestorsList = []
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let ancestorsIdCounter = 1
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if (ancestors) {
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ancestors.forEach((item) => {
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const list = processDialogue(item.dialogue, 0, imgList)
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// 重新设置 id
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list.forEach((el) => {
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el.id = ancestorsIdCounter++
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})
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ancestorsList.push(...list)
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})
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}
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const currentList = processDialogue(current?.dialogue, 0, imgList)
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// 重新设置 id
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currentList.forEach((el, index) => {
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el.id = index + 1 + ancestorsList.length
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})
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// 延迟设置新数据，确保 UI 有时间响应清空操作
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nextTick(() => {
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messageList.value = [...ancestorsList, ...currentList]
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params.versionID = current?.id
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sketchList.value = imgList
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})
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}
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defineExpose({
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setChatInfo
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})
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</script>
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<style lang="less" scoped>
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.c-svg {
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width: initial;
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}
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.agent-container {
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// width: 39%;
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// width: 63.4rem;
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// flex: 1;
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width: 634px;
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margin-right: 2.7rem;
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background-color: #fff;
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border-radius: 2rem;
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box-shadow: 0px 15px 21px 0px #0000000d;
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.agent-header {
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height: 7.4rem;
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border-bottom: 0.1rem solid #c9c9c9;
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padding: 1.4rem 3.4rem 1.4rem 3.1rem;
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.agent-title {
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font-size: 1.8rem;
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margin-bottom: 0.6rem;
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}
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.agent-name {
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font-size: 1.4rem;
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}
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}
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.agent-body {
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padding: 3.2rem;
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overflow: hidden;
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row-gap: 2.4rem;
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.assist-input-wrapper {
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width: 100%;
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height: 14.4rem;
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min-height: 14.4rem !important;
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max-height: 14.4rem !important;
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}
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}
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.input-wrapper {
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height: 14.4rem;
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padding: 0 2rem 3rem;
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}
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}
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</style>
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